Data Services Jobs in Gurgaon

Position: IT Sales Specialist Experience: 2-3 Years Working Days: 5 Days per Week Working Hours: 9 Hours per Day Qualification: Any Graduate (or equivalent) with relevant experience Job Overview: We are seeking an experienced IT Sales Specialist to drive sales of enterprise IT solutions including data sales, messaging software, and data validation services. The ideal candidate will be skilled in building strong client relationships, identifying business opportunities, and closing deals while maintaining a robust sales pipeline focused on corporate and government sectors. Key Responsibilities: Target Achievement Meet or exceed individual and team sales targets. Drive consistent revenue growth by acquiring and developing new business. Customer Profiling & Prospecting Conduct in-depth research to identify target markets and key decision-makers. Build and maintain a strong sales pipeline focused on corporate and government institutional sectors. Solution Selling Present and sell enterprise-grade IT solutions such as data sales, data markets, messaging software, and data validation services. Align client business needs with appropriate technology solutions. Client Relationship Management Develop and maintain long-term relationships with clients for sustained business growth. Manage full sales cycle from prospecting to closure and payment collection. Strategic Business Development Formulate business plans emphasizing profitability, cost control, and strategic growth. Identify opportunities for cross-selling and up-selling within existing accounts. Training & Development Participate in product training to stay current on IT solutions. Coach and mentor junior team members to improve their sales effectiveness. Market Research & Insights Analyze market trends, customer pain points, and competitor activity to refine sales strategies. Deliver customized presentations and demonstrations tailored to client needs. Operational Excellence Follow company policies, procedures, and compliance standards. Conduct performance reviews and share insights with management. Requirements: Technical Expertise Proven experience in selling enterprise IT solutions including data sales, messaging, and validation services. Proficiency in video conferencing, email automation, CRM, and sales technologies. Sales Skills Strong understanding of the sales process, CRM tools, and go-to-market strategies. Experience with B2B sales, particularly in IT and technology sectors. Market Knowledge Knowledge of global markets, customer segmentation, and industry-specific dynamics. Experience working across diverse industries and international markets. Communication & Soft Skills Excellent presentation, negotiation, and closing skills. Ability to engage with C-level executives and key decision-makers effectively. Strong relationship management, multitasking, and time management abilities. Self-motivated, target-driven, and a collaborative team player with exceptional communication skills.

Senior Backend Engineer / Tech Lead Location: Gurugram, India Type: Full-Time Experience: 6 9 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. Our product suite powers lakhs of daily transactions and enables top financial advisors across the country to guide investors toward achieving their financial goals. If you're passionate about building scalable systems that impact millions, this is your opportunity to shape the future of investing in India. Role Overview We re looking for a Senior Backend Engineer / Tech Lead to join our growing technology team. You will lead backend development initiatives, work on performance-critical services, and contribute to designing highly available, scalable systems. You ll also mentor team members, lead system architecture efforts, and ensure that our platforms run reliably and efficiently. Key Responsibilities Team Leadership: Lead and mentor a team of backend engineers, review code, and ensure best engineering practices. System Design: Architect scalable, secure, and maintainable backend systems. Service Development: Build and maintain RESTful APIs using Node.js and Express.js. Performance Optimization: Ensure sub-second server response times and optimize backend performance. Database Management: Design and manage MySQL, with working knowledge of MongoDB and Elasticsearch data stores effectively. Cloud Infrastructure: Deploy and monitor cloud-based services; ensure system reliability and uptime. Messaging & Indexing: Implement messaging queues and indexing mechanisms for real-time data flows. Technical Communication: Present architectural designs, participate in sprint planning, and collaborate with cross-functional teams. Required Skills & Qualifications 6 9 years of backend development experience with expertise in Node.js, Express.js, and JavaScript. Strong background in system architecture, API design, and complex problem solving. Proficiency in MySQL, with working knowledge of MongoDB and Elasticsearch. Solid understanding of data modeling, caching, and asynchronous processing. Bachelor's degree in Computer Science or equivalent professional experience. Familiarity with DevOps tools, cloud environments, and CI/CD pipelines is a plus. Strong analytical, debugging, and performance tuning skills. Preferred Skills Experience with Python, Java, or additional backend languages. Knowledge of containerization tools (e.g., Docker, Kubernetes). Hands-on experience with message brokers (e.g., RabbitMQ, Kafka). Perks & Benefits 5-day work week with flexible timings. Group medical insurance coverage up to 3 Lakhs for all permanent employees. Fun, collaborative work environment with regular team activities. Complimentary consultations with financial planners for your personal financial journey. Resources and mentorship to help you get started with your own investments. At Investwell, you ll be part of a mission to make quality financial planning accessible to everyone. You ll work with a high-impact team, solve real-world scalability challenges, and play a key role in shaping the future of fintech in India. Qualification : Bachelor's degree in Computer Science or equivalent professional experience.

Senior Role in Risk Management Location: Gurugram, India Employment Type: Full-Time Experience: 3 7 Years About OXYZO Financial Services Ltd. OXYZO Financial Services Ltd. is a leading Fintech NBFC, revolutionizing B2B lending for SMEs and Emerging Corporates across India. We are part of the OfBusiness Group and have built a robust AUM of 7,700 Cr, delivering strong PAT of 300 Cr last year. Operating in over 20+ cities, we provide financing solutions that are transforming key industries, including Manufacturing, Engineering, Textiles, and Logistics. Backed by marquee investors like Creation Investments, Matrix Partners, Norwest, Tiger Global, and Alpha Wave, we are rapidly expanding and scaling our business. Role Overview We are looking for an experienced Risk Management Senior Professional to join our Risk Team and work directly with the Chief Risk Officer (CRO). In this role, you will be responsible for implementing advanced risk frameworks, developing and managing risk models, and ensuring strong risk mitigation strategies are in place across the organization. Your expertise in credit risk, operational risk, and financial controls will play a critical role in maintaining the safety, security, and compliance of the lending portfolio. Key Responsibilities Develop Risk Frameworks: Implement and manage the ICAAP (Internal Capital Adequacy Assessment Process) and ALM (Asset Liability Management) frameworks. Develop and execute HQLA (High-Quality Liquid Assets) management strategies. Credit Risk Models: Build and deploy ECL Models (Expected Credit Loss), including calculating PD (Probability of Default), EAD (Exposure at Default), and LGD (Loss Given Default). Develop risk grading models for credit risk classification across various portfolios. Operational Risk Management: Identify, assess, and monitor operational risks across lending portfolios, outsourcing activities, and internal financial controls. Work on developing and implementing Early Warning Systems (EWS) for fraud risk management and transaction monitoring. Cyber & Data Security: Collaborate with the CISO (Chief Information Security Officer) to address data security, cybersecurity, and physical security risks. Implement and manage monitoring systems for suspicious transactions and cash transactions. Risk Mitigation & Assessments: Conduct regular risk assessments of the portfolio, including QML (Quality Migration Ladder), DPD (Days Past Due) analysis, and staging. Ensure that risk mitigation strategies are identified, documented, and executed in a timely manner. Emerging Risks & Regulatory Compliance: Identify emerging risks, including geopolitical, strategic, or regulatory risks. Provide insights into macro-risk indicators and proactively manage these risks. Coordinate with internal auditors, external auditors, and regulatory bodies for audits and inspections. What We Are Looking For Educational Qualifications: Master s degree or professional certifications like MBA (Finance), FRM (Financial Risk Manager), CFA, CA, CMA, or CS. Minimum of 3 years of experience in Risk Management within a Bank or NBFC. Skills & Expertise: Strong understanding of risk management frameworks, regulatory requirements, and industry best practices. In-depth knowledge of credit risk models, operational risk management, and financial controls. Good technical understanding of the financial sector, especially in the context of B2B lending. Soft Skills: Strong communication and interpersonal skills to work effectively across departments. Ability to lead projects and make key decisions in a fast-paced, high-pressure environment. Fast-track Career Growth Ample opportunities for personal and professional growth. High-Impact Roles Be part of high-stakes projects with significant business impact. Ownership & Autonomy Lead initiatives with full ownership and decision-making power. Exceptional Peer Group Work alongside some of the best talent in the industry. Enjoyable Workplace Culture Join a team that values collaboration, respect, and innovation. Competitive Pay & Rewards Attractive compensation package with performance-driven incentives.

Facilities Executive Soft Services Service Line: GWS Segment Role Type: Full-Time Location: Gurgaon, Haryana, India Areas of Interest: Facilities Management About the Role: As a CBRE Facilities Executive - Soft Services, you will coordinate with clients, vendors, and contractors to ensure the smooth execution of facility management tasks and work orders. This role is part of the Facilities Management team, focusing on the operational efficiency and upkeep of physical assets while supporting Property Managers with service-related functions and compliance. Key Responsibilities: Liaise with landlords, tenants, and service vendors to ensure all facility management policies, procedures, and reporting standards are properly implemented and adhered to. Acknowledge and respond to client service requests and ensure work orders are appropriately collected and addressed. Gather data and create reports to assess performance, progress, and service quality. Organize and file documentation including work orders, vendor proposals, departmental records, and compliance paperwork. Supervise external activities such as waste disposal, recycling, and other soft service operations. Read, follow, and respond to internal memos, emails, and short instructions. Seek clarification when necessary. Handle basic inquiries and feedback from clients, team members, and supervisors professionally. Use existing procedures to resolve day-to-day issues with limited discretionary decision-making. Deliver outputs by following standard operating procedures under close supervision and guidance. What You ll Need: Educational Qualification: High School Diploma or GED with up to 2 years of experience in Facilities Management or a similar operational role. Required Skills: Ability to follow standard operating routines and facility management protocols. Good communication skills for responding to inquiries and sharing routine information. Basic computer proficiency, especially in Microsoft Office (Word, Excel, Outlook). Strong organizational skills with a detail-oriented and inquisitive mindset. Ability to perform basic math functions, including calculating percentages, markups, and discounts. Qualification : High School Diploma or GED with up to 2 years of job-related experience.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Job Title: Backend Engineer (Java/Spring) About the Role: We are looking for an experienced and highly motivated Backend Engineer to join our fast-growing startup. As a key player in our engineering team, you will work on building high-quality, scalable backend systems that power our products. You ll be solving complex challenges, writing efficient and performant code, and ensuring that our applications run seamlessly in a fast-paced environment. A Great Fit for This Role: Thrives in Startups: You re excited about working in a fast-paced, start-up environment, where you ll have the opportunity to directly impact the development of our products. Strong Analytical Skills: You have an aptitude for quickly understanding new concepts and systems, proposing and implementing solutions. Hands-On Engineer: You are passionate about backend technologies like Java and Spring Boot, and you love building resilient, performant systems. Time-Sensitive Deliveries: You have a proven track record of delivering projects in an environment where quick fixes and solutions are needed daily. Code Quality & Performance: You care deeply about code quality, performance, and execution, and you understand how to write efficient code that scales. Problem Solver: You're someone who can quickly identify issues and solve them in real-time. Key Responsibilities: Backend Development: Develop and maintain backend systems using Java/Spring Boot, ensuring scalability, reliability, and performance. API Design & Development: Design, implement, and optimize RESTful APIs to support various client needs and internal systems. Database Management: Work with relational databases (PostgreSQL, MySQL) to ensure data integrity, optimize queries, and improve system performance. Messaging & Integration: Integrate with messaging systems like RabbitMQ, Elastic Search, and Kafka for efficient and scalable data communication. Cloud Infrastructure: Work with AWS and other cloud services to deploy, scale, and manage backend applications. Continuous Integration: Implement CI/CD pipelines using tools like Jenkins, Kubernetes, etc., to ensure smooth and rapid deployment cycles. Code Quality & Testing: Write and maintain high-quality, well-tested code, ensuring reliability and resilience in production environments. Collaboration: Collaborate with cross-functional teams to design, build, and deliver robust backend systems that meet business needs. Must-Have Skills and Experience: Java/Spring Boot: 4+ years of hands-on experience in backend system development using Java/Spring Boot. Core & Advanced Java: Expert understanding of Core and Advanced Java programming. Databases: Strong experience working with relational databases (PostgreSQL, MySQL). NodeJs & MongoDB: Experience with NodeJs and MongoDB is a plus. Messaging & Stream Processing: Experience working with RabbitMQ, Elastic Search, Kafka. Cloud Computing: Experience with cloud services such as AWS. CI/CD Pipelines: Familiarity with continuous integration and deployment methodologies (Jenkins, Kubernetes, etc.). Software Design Principles: Strong understanding of software design principles, patterns, and frameworks. Linux Proficiency: Proficient in working within a Linux environment. Education: Bachelor s or Master s degree in Computer Science or related field from Tier-I/Tier-II colleges. What You ll Bring to the Team: A passion for backend technologies, especially Java/Spring, and a strong desire to build scalable, efficient systems. A deep understanding of backend development, database management, and cloud services. A focus on code quality and performance, with an understanding of Big O notation and optimization techniques. An ability to work independently and as part of a collaborative, cross-functional team. Excellent problem-solving skills and the ability to think on your feet in a high-pressure environment. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work with cutting-edge technologies and solve complex problems. Flexible working hours and remote work options. Work in a dynamic, growth-oriented environment where your contributions make a direct impact. If you re an experienced backend engineer who thrives in a fast-paced environment and is passionate about building scalable, reliable systems, we d love to have you on board! Qualification : Bachelors/Masters degree in Computer Science from tier-I/tier-II colleges only.

Job Title: Full Stack Developer (JavaScript, Node.js, React, AngularJS) About the Role: We are looking for an experienced and self-driven Full Stack Developer who is passionate about working in a fast-paced startup environment. As part of a small, talented team, you will be responsible for both front-end and back-end development, writing high-performance and scalable code, and solving complex challenges in a timely manner. If you're someone who thrives in a dynamic, time-sensitive environment and loves building solutions that make an impact, this role is for you. A Great Fit for This Role: Excited About Startups: You re passionate about working in a startup and contributing to a highly talented and agile team. Strong Analytical Skills: You re able to quickly understand new technologies, navigate unknown challenges, and implement practical solutions. Hands-On Engineer: You love to design and develop solutions, writing clean, maintainable, and efficient code for both the front-end and back-end. Fast-Paced Environment: You thrive in a high-pressure, fast-paced environment where solutions are delivered rapidly rather than on a weekly/monthly cycle. Proven Track Record: You have experience delivering projects under time-sensitive conditions and enjoy solving problems on the fly. Passion for Full-Stack Technologies: You are proficient in modern JavaScript-based front-end and back-end technologies, and relational/analytical databases. Key Responsibilities: Full-Stack Development: Design and develop both front-end and back-end systems using technologies such as Node.js, React, AngularJS, and relational/NoSQL databases. Solution Design: Write clean, high-quality, scalable, and maintainable code for the overall application architecture. API Development: Build, optimize, and maintain RESTful APIs to ensure smooth communication between client and server-side applications. Database Management: Design and optimize relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for performance and scalability. Collaboration: Work closely with cross-functional teams to define and deliver new features and improvements, while maintaining high standards of code quality. Performance Optimization: Optimize both front-end and back-end performance, ensuring a seamless and fast user experience. Time-Sensitive Deliveries: Ensure the timely delivery of projects and handle issues in real-time, meeting daily targets and deadlines. Must-Have Skills and Experience: JavaScript & Modern Frameworks: 3-4 years of experience working with Node.js or React and AngularJS/JavaScript for front-end and back-end development. Database Expertise: Expertise with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB). Strong Understanding of Full-Stack Development: Proven experience in both front-end (React/AngularJS) and back-end (Node.js) technologies. Code Quality & Performance: Ability to write clean, efficient, and scalable code that performs well at scale. Education: Bachelor s/Master s degree in Computer Science from Tier-I/Tier-II colleges only. Nice to Have: Experience with Messaging Systems: Familiarity with RabbitMQ and Elastic Search for scalable and efficient data processing. Cloud Services: Experience with AWS services and cloud-based application deployment. CI/CD Practices: Familiarity with continuous integration and deployment methodologies (e.g., Jenkins, Kubernetes). Linux Proficiency: Comfortable working in a Linux environment for development and deployment. What You ll Bring to the Team: A passion for full-stack development and hands-on coding. Strong experience in building scalable applications with modern JavaScript frameworks and databases. A deep understanding of designing solutions that prioritize performance, maintainability, and scalability. A proactive approach to problem-solving, with the ability to work in an agile and fast-paced environment. The ability to collaborate effectively with team members and contribute to a culture of continuous improvement. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work on cutting-edge technologies and solve complex engineering challenges. Work in a fast-paced, growth-oriented environment where you can directly impact the product and business. Flexible working hours and remote work options. If you re an experienced Full Stack Developer passionate about working in a dynamic, high-growth startup, we d love to hear from you! Qualification : Bachelor's/Masters degree in Computer Science from tier-I/tier-II colleges only.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Job Description: Vice President, Operations - Index & Data Solutions About the Team: The Index & Data Solutions (IDS) team at BlackRock is responsible for shaping and executing the firm s data strategy, overseeing relationships with data providers, and ensuring the smooth administration of market data services. The Operations team within IDS is looking for an experienced Vice President to lead a high-performing group of market data professionals in streamlining processes, managing contracts, and collaborating with multiple stakeholders to deliver exceptional operational excellence. As Vice President, you will play a key role in overseeing end-to-end market data operations, from contract administration to invoicing and payment management. You will work closely with vendors, relationship managers, internal teams, and BlackRock s finance function to optimize data operations, drive process improvements, and ensure the firm s market data needs are met efficiently and accurately. The ideal candidate will be a strategic and hands-on leader, passionate about performance, with experience in invoice operations management and process transformation. You should be comfortable interacting with senior internal and external stakeholders and possess strong problem-solving and data management skills. Key Responsibilities: Invoice Validation & Reconciliation: Review and validate invoices against the internal inventory of market data services. Research and resolve discrepancies to ensure accurate and timely invoice processing. Actively follow up with vendors and internal teams to resolve issues and ensure timely resolution. Financial Reporting & Analytics: Prepare reconciliations to explain differences between internal service inventories and vendor invoices. Develop and maintain accurate reports on index and market data usage for providers. Prepare financial analytics and reports for internal stakeholders to aid in decision-making. Process Improvement & Optimization: Identify opportunities for streamlining invoicing and data management processes. Use data insights to drive improvements and optimize operational efficiency. Contribute to the development of quality controls and continuous improvements in operational processes. Vendor & Stakeholder Management: Act as a key point of contact for invoice and payment-related inquiries from vendors and internal teams. Develop and maintain strong relationships with external data providers to ensure smooth contract administration and service delivery. Partner with BlackRock's Finance team to manage market data budget accruals and ensure accurate financial reporting. Team Leadership & Development: Lead and mentor a team of market data professionals, fostering a high-performance culture. Support the team in their growth, development, and delivery of market data solutions. Requirements: Experience: 5-8 years of experience in market data operations, invoice validation, or reconciliation. Proven track record of optimizing operational processes and implementing quality controls. Educational Background: Degree in Business, Commerce, or a related field. Technical & Analytical Skills: Proficiency in Excel and Microsoft Access; advanced skills preferred. Basic knowledge of financial markets and market data services. Strong analytical and problem-solving skills with an ability to translate complex issues into actionable solutions. Communication & Leadership: Excellent oral and written communication skills, with the ability to interact effectively with senior stakeholders. A self-starter attitude with strong organizational skills and the ability to handle multiple priorities while maintaining composure. Proven ability to lead and contribute to team performance in an inclusive and diverse environment. Our Benefits: To ensure you remain energized and inspired, we offer an array of benefits that include: Strong Retirement Plan and comprehensive healthcare options. Tuition Reimbursement to support your ongoing learning. Flexible Time Off (FTO), allowing you to recharge and spend time with loved ones. Support for working parents, including various family-related benefits. Our Hybrid Work Model: At BlackRock, our hybrid work model fosters collaboration and personal development. Employees are required to work in the office at least 4 days a week, with flexibility to work from home 1 day a week. This approach ensures effective team collaboration while offering flexibility in your work-life balance. About BlackRock: At BlackRock, our mission is to help people experience financial well-being by offering innovative investment solutions. We are committed to helping individuals achieve their financial goals from saving for retirement to funding education, buying homes, or starting businesses. Our clients investments play a crucial role in driving global economic growth, supporting businesses, financing infrastructure, and fostering innovation. Join us in making a difference in the world of finance and be part of an industry-leading firm.

Job Title: Data Analyst Department: S&P Global Commodity Insights About the Team: S&P Global Commodity Insights delivers essential intelligence for global commodity markets, ensuring data accuracy, consistency, and accessibility while driving innovation through advanced technologies and modern data management practices. As part of this team, you will play a pivotal role in shaping the future of commodity data and analytics in an evolving and dynamic environment. The Role: As a Data Analyst, you will be responsible for comprehensive data management, analysis, and project coordination. This includes gathering, cleaning, and organizing data from diverse sources such as Salesforce, Oracle, and Zuora, as well as performing analytical assessments and preparing impactful visualizations and reports for internal and external stakeholders. You will also support process optimization, quality assurance, and documentation management, collaborating closely with cross-functional teams to ensure alignment with business objectives. Key Responsibilities: Project Coordination and Administrative Support: Plan, organize, and track project timelines, deliverables, and milestones to ensure deadlines are consistently met. Lead cross-functional teams, clearly communicating project objectives, responsibilities, and expectations. Prepare meeting agendas, project status reports, and provide administrative support for project management processes. Data Management and Analysis: Collect and manage data from multiple sources, including Salesforce, Oracle, and Zuora, ensuring accuracy and completeness. Collaborate with Data Leads to align deployment schedules and project timelines. Work closely with the Data Management team to enforce data quality standards and processes related to ERP deployments, projects, and system enhancements. Deliver data analysis, design, and implementation tasks in accordance with agreed service levels (SLAs). Develop data visualizations and reports for internal teams and client presentations, effectively translating data into actionable insights. Identify process improvement opportunities through data analysis and recommend optimization strategies. Business Process Support: Partner with cross-functional teams to develop and support data-driven initiatives that align with business goals. Document process flows and contribute to change management efforts. Serve as a primary contact for key stakeholders, providing timely updates on project progress, risks, and outcomes. Quality Assurance: Review project deliverables to ensure they meet quality standards and client expectations. Conduct peer reviews of documents, presentations, and reports to ensure accuracy, consistency, and adherence to guidelines. Implement data validation processes to ensure data reliability and quality. Documentation Management: Maintain and standardize project-related documents to ensure accuracy and consistency across all materials. Organize and manage a well-structured repository of internal and client-facing documents, ensuring accessibility and version control. Qualifications & Skills: Basic Qualifications: Bachelor s degree in Business, Economics, Engineering, Computer Science, or a related field. 5-7 years of experience in a data analysis or project coordination role, preferably in a consulting or similar environment. Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word. Experience working with data management tools and technologies, along with strong analytical skills to interpret complex datasets. Detail-oriented mindset with a strong focus on data accuracy and process integrity. Excellent communication and leadership skills to effectively collaborate with cross-functional teams and stakeholders. Strong time management skills, with the ability to thrive in a fast-paced, deadline-driven environment. Preferred Qualifications: Familiarity with platforms such as Salesforce, Marketo, Oracle, Zuora, Snowflake, Databricks, Amazon Redshift, and Informatica. Experience working in Agile environments with a focus on Lean principles. Professional certifications such as: Salesforce Administrator or Business Analyst Lean Six Sigma PMP or PRINCE2 Certified Scrum Master About S&P Global Commodity Insights: At S&P Global Commodity Insights, we provide comprehensive intelligence and expert insights across global energy and commodity markets. Our trusted data and analysis empower customers to make informed decisions with confidence and create long-term value in an increasingly complex and rapidly evolving global landscape. We serve as a critical link, bringing together market participants, governments, regulators, and industry experts to co-create solutions that drive progress and support the energy transition. Our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, offering a complete and integrated view of the commodities ecosystem. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across capital, commodity, and automotive markets. Through our innovative products and services, we help organizations navigate today s challenges while planning for a successful future. Qualification : Bachelors degree in Business, Economics, Engineering, Computer Science, or a related field.

Who You Are You have successfully worked with large Service Providers, guiding them through their digital transformation journey by establishing strategic engagements and executive-level relationships. With a strong ability to collaborate across extended teams, you drive large, complex deals while effectively communicating the business value of Cisco solutions. You are skilled at working with customers across multiple levels from technical decision-makers to business leaders and have the gravitas to engage C-suite executives (CxOs), leading meaningful discussions that drive impact. Additionally, you excel in partner management, ensuring both Cisco s success and the success of our partners and customers. Your Impact As an Account Solutions Engineer, you will: Develop and propose tailored network solutions for Service Provider Accounts using Cisco s advanced networking technologies, including MPLS, Segment Routing, Broadband Network Gateway (BNG), Routing & Switching, and Optical Networking. Engage with customers to understand their business needs and align solutions to drive their strategic objectives. Collaborate with cross-functional sales teams to create compelling proposals and articulate the business value of Cisco s offerings. Provide technical expertise and consulting in areas such as MPLS, BNG, SDN, Cloud, and next-generation mobile networks (4G/5G). Stay ahead of industry trends and emerging technologies to proactively offer innovative solutions that enhance client networks. Manage long sales cycles, complex negotiations, and multi-stage deployment projects, ensuring seamless solution implementation. Minimum Qualifications 12+ years of sales experience in the Service Provider industry with deep domain knowledge of telecommunications networks and Cisco solutions. MBA from a top business school or equivalent experience. Strong technical expertise in Service Provider IT networks, including cybersecurity, cloud solutions, data centers, software platforms, mobile networks (4G/5G), and enterprise-level IT systems. Experience managing complex, long-term sales cycles, including demand generation, stakeholder management, forecasting, and strategic negotiations. Strong communication, presentation, and negotiation skills, with the ability to engage executive leadership (CxOs), customers, and partners. Cisco Certified Network Associate (CCNA) and/or Cisco Certified Internetwork Expert (CCIE) certification is preferred. Preferred Qualifications A passion for technology, innovation, and customer success. Strong adaptability and resilience in a constantly evolving industry landscape. Ability to apply financial acumen to qualify and assess business opportunities. Experience working with competitive OEMs in the Service Provider technology domain. At #WeAreCisco, we believe in powering a more inclusive, connected, and digital future for all. Our innovations are shaping industries worldwide from healthcare and education to business and public services by providing secure, cutting-edge networking solutions. Global Impact: Nearly every internet connection worldwide touches Cisco technology. People-First Culture: We foster an environment where employees thrive, develop, and grow their careers. Giving Back: Employees receive 10 days off per year to contribute to social causes they re passionate about. Diversity & Inclusion: Our 30+ Inclusive Communities help build an equitable workplace where everyone belongs. We welcome individuality whether you love colorful hair, tattoos, pop culture, or technology be yourself with us! Join Cisco and be a part of the team that s driving digital transformation for the world s leading service providers. Take the next step in your career. Be you, with us! Qualification : MBA from a top business school or equivalent experience.

Job Description Join us as a Markets Data Management Analyst In this role, you ll work on the static setup and maintenance of clients and standard settlement instructions. As a Markets Data Management Analyst, we ll expect you to act as a point of contact for queries, requests, and the facilitation of onboarding and trade execution for clients. You ll be working in partnership with internal and external stakeholders, allowing you to hone your communication skills and gain great exposure for your work. We're offering this role at senior analyst level. What you'll do You ll make sure that clear and unambiguous roles and responsibilities are agreed and seek out opportunities to engage with new and existing functions and learn new skills. We ll look to you to make sure that your stakeholders fully understand the global reference data strategy and agenda. And, you ll be managing the expectations of internal support functions with insight into client requirements and the development of business. Your responsibilities will include: Maintaining an understanding of the front-to-back client life cycle. Suggesting areas of improvement for daily processing and escalating these appropriately. Formulating plans that are delivered in line with agreed risk, cost, and time requirements. Acting as a point of contact for static data queries and requests. Driving the development, implementation, and regular review of policies and procedures and ensuring colleagues have adequate awareness and training. The skills you'll need We ll expect you to have strong experience in the financial services industry, with a specialism in reference data, client onboarding, or client exits. You ll need to have excellent analytical skills, with a structured and methodical approach when investigating data issues. Crucially, you ll have the ability to thrive in a fast-paced and rapidly evolving environment. You ll also need: Excellent communication and presentation skills. Strong interpersonal skills with the ability to build, maintain, and enhance relationships at all levels. Good Microsoft Office Excel, Word, and PowerPoint skills.

Job Title: Cloud Target Operating Model Consultant Location: Gurgaon About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design. We help CxOs envision and build what s next for their businesses, focusing on delivering impactful solutions and driving sustainable change. Your Role: As a Cloud Target Operating Model Consultant, you will be responsible for designing and implementing cloud operating models that deliver innovation, agility, cost benefits, and faster time-to-market. You will work with clients to modernize their business operating models by focusing on multiple dimensions such as process, governance, skills, culture, tooling, technology, and organization. You will leverage and maximize clients existing IT investments and communicate with stakeholders at all levels of the organization to design and implement sustainable transformation strategies. Key Responsibilities: Design and implement cloud operating models to ensure innovation, agility, and cost-effectiveness. Take a holistic approach to modernize business operating models, covering processes, governance, tools, and organization. Integrate business operating models with cloud operating models. Lead the design, implementation, and management of cloud centers of excellence. Advise on the implementation of DevSecOps models, automation, and business change processes. Work with hybrid and multi-cloud environments, DevOps, CI/CD, and cloud strategy implementations (AWS, Azure, or GCP). Develop security and governance models for cloud engineering and operations. Drive IT and business automation across product management, engineering, and operations. Apply ITIL and service management principles to optimize operations. Your Profile: Experience working on at least one end-to-end Cloud Target Operating Model engagement. Solid understanding of Cloud Target Operating Models. Project experience in multiple areas such as Cloud Strategy, Business Case, DevOps, FinOps, etc. Proven ability to deliver advisory engagements, driving positive outcomes and opportunities for future work. Leadership experience in delivering large-scale, complex IT transformations aligned to clients strategic goals. Experience in implementing DevSecOps models and automation. Familiarity with hybrid and multi-cloud environments and cloud service models. What You ll Love About Working Here: We recognize the significance of flexible work arrangements. Whether remote work or flexible work hours, you will find the support to maintain a healthy work-life balance. At Capgemini Invent, your career growth is at the heart of our mission. Our wide range of career growth programs will help you explore a world of opportunities. Equip yourself with valuable certifications in the latest technologies, including Generative AI. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world, creating a tangible impact for enterprises and society. With a global team of 340,000 members across more than 50 countries, Capgemini is trusted by clients to unlock the value of technology. Capgemini delivers end-to-end services and solutions, leveraging capabilities in AI, cloud, and data, combined with deep industry expertise. The Group reported 22.5 billion in global revenues for 2023.

Position: Java Engineer - Studio Engineer Job Overview: At BlackRock, technology has always been at the core of what we do. Our technologists continue to shape the future of the industry through innovative solutions. As part of the Aladdin Data team, we focus on evolving our platform to deliver exponential scale, powering the future growth of Aladdin. The Studio Engineers at BlackRock build and design large scale data storage, computation, and distribution systems, working on next-generation technologies. About this Role: We are seeking Java engineers who enjoy innovating and tackling complex problems. You will be part of a multi-disciplinary squad, involved from the inception of projects, working on architecture, development, deployment, and maintenance of studio products and services. Engineers in this role will collaborate with product managers to deliver solutions that improve platform performance and scalability, all while maintaining a collaborative work environment and adhering to industry-leading standards. Responsibilities: Collaborate with program and product managers to expand product offerings based on business demands. Design, develop, deploy, and maintain studio products and services, while iterating on design processes. Drive user engagement and adoption while working towards improving platform performance and scalability. Work closely with various teams to ensure effective deployment and maintenance of the products. Provide production support for applications when necessary and troubleshoot complex performance issues. Create user documentation to maintain development and operations continuity. Contribute to the upkeep of UX and design standards in the studio. Required Qualifications: BA/BS in Computer Science or equivalent practical experience. 10+ years experience delivering medium to large scale enterprise solutions. Experience architecting and building scalable distributed applications. Proficiency in Java, Python, SQL, and Linux. Experience with Event Driven Architecture, Microservices, and Cloud technologies. Familiarity with object-oriented design patterns. Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps. Experience with Agile development methodologies and tools. Ability to troubleshoot and fix performance issues across codebases and database queries. Excellent written and verbal communication skills. Passion for learning and implementing new technologies in a fast-paced environment. Preferred Skills: Experience with Perl and C++. Familiarity with UI/UX stack. Experience supporting large-scale, complex analytics requirements. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may have different requirements based on their roles and responsibilities. About BlackRock: At BlackRock, our mission is to help more people experience financial well-being. We are dedicated to investing in our employees and fostering an environment where colleagues feel welcomed, valued, and supported. Our employees contribute to global growth, helping strengthen businesses, finance infrastructure, and facilitate innovation. We offer development opportunities and benefits to help our employees thrive. Qualification : BA/BS in Computer Science or equivalent practical experience

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Aladdin Data Client Experience (BCX) Team Member Overview: BlackRock Aladdin Data is responsible for maintaining data critical to the investment decision-making process for BlackRock and its proprietary Aladdin end-to-end investment platform. The team collaborates closely with Portfolio Management, Global Capital Markets, Relationship Management, Portfolio Compliance, Risk Analytics, Regulatory Reporting, and others to meet their data needs accurately, timely, and efficiently. BlackRock Aladdin Data operates under BlackRock s key principles: Innovation, Fiduciary focus, Passion for Performance, Emotional Ownership, and the unified purpose of One BlackRock. This philosophy is focused on creating value by understanding clients' needs and utilizing technology to develop innovative solutions. Key Responsibilities: Main Point of Contact: Serve as the subject matter expert in risk, returns, and attribution analytics for internal clients. Client Engagement: Conduct regular meetings with internal clients and ensure positive client sentiment. Project Leadership: Lead complex analytical projects, providing regular updates to senior internal and external partners. Optimization Efforts: Collaborate with internal partners to drive GP optimization efforts. Solution Development: Work with Aladdin Data Partners to build and implement solutions for custom processes. Reporting: Run client partner meetings to present Green Package Health, thematic issue analysis, and Aladdin Data service metrics. Knowledge/Experience: Bachelor s degree (or equivalent experience) in Finance, Economics, or a related field. 3+ years of proven experience in financial services with knowledge of markets, technology, operations, or business management. Strong communication skills with the ability to present complex concepts clearly to diverse audiences. Knowledge of financial products in Fixed Income, Equities, and Derivatives; familiarity with risk analytics such as Durations, Spreads, Beta, and VaR is a plus. Demonstrated project management and leadership skills in delivering large, complex projects. Proficiency in SQL, Linux, Unix. Strong interpersonal and time management skills with the ability to thrive in a fast-paced environment. High attention to detail. Our Benefits: We offer a range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) to help you relax, recharge, and take care of your loved ones. Our Hybrid Work Model: BlackRock s hybrid work model enables collaboration while supporting flexibility. Employees are required to work at least 4 days in the office per week, with 1 day working remotely. Some business groups may require more in-office presence due to role responsibilities. This hybrid model is designed to accelerate your learning and onboarding experience. About BlackRock: At BlackRock, we help people experience financial well-being by supporting their retirement, education, home purchases, and business ventures. The investments made by our clients strengthen the global economy, supporting businesses, infrastructure projects, and innovations. This mission is made possible by our investment in employees. We create an environment where colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities. Qualification : Bachelors degree or equivalent experience in Finance, Economics or related field is desired.

Description We re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you ve come to the right place The Senior AP is responsible for selling the full portfolio of Success Cloud offerings to designated accounts. The AP must be a strategic thinker with exceptional enterprise, commercial, and cross-functional skills, demonstrate high energy, and have strong sales management experience. The AP is responsible for earning the right to be a trusted advisor to the customer, with the primary goal of helping customers generate significant business value from their Salesforce investment. This individual will be expected to understand and manage our customers throughout their lifecycle, driving adoption through sales activity for new and existing customers; this will include pipeline generation and delivering sales presentations to C-level clients. The primary measurement of success for this role will be YOY growth in overall services bookings and revenue. Responsibilities: Exceed CSG Success Cloud growth and bookings, ensure organizational health and customer satisfaction goals as a regional leader Utilize industry expertise and business acumen to understand a customer's motivation, business drivers, strategic goals and objectives, and desired business outcomes Engage customers, especially C-Level, using a consultative selling approach that positions Salesforce and yourself as a long-term trusted advisor relationship Create a compelling vision and clearly communicate our transformative solutions with the goal of generating significant success and business value from a customer's investment in the Salesforce Platform Develop and manage a territory plan and a personalized account plan for each customer, which aligns with their business goals. Forecast accurately and timely, build a pipeline and progress opportunities to deliver Success Cloud YOY revenue growth Form a strong relationship with the License Sales organization and regional Alliances/Partner organizations that are instrumental to success Be a recognized role model for collaboration, leadership and overall business results Preferred Qualifications & Skills: 15+ years of consultative sales experience with a proven record of consistently exceeding quota Of which, 5+ years experience selling and/or delivering professional services for a strategic consulting firm or large scale system integrator Demonstrated ability to develop and maintain C-level relationships where you are recognized as a trusted advisor Experience growing accounts with large and complex pursuits ($M+) Highly collaborative and excels in a complex, matrixed environment Team player with strong interpersonal skills Ability to thrive in a fast-paced, unpredictable environment

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field