Real Time Data Jobs in Gurgaon

Category: Administrative Staff Type: Full Time Location: Medanta, Gurugram Job Description: Data Analysis: Collect, clean, and analyze inventory and store data to identify trends, variances, and operational inefficiencies. Develop data models, reports, and dashboards that provide actionable insights into stock levels, order patterns, and consumption rates. Collaborate closely with inventory, procurement, and supply chain teams to enhance forecasting and stock replenishment strategies. Utilize data visualization tools such as Excel, Power BI, and PowerPoint to present complex data clearly and effectively. Coordinate with the IT team to develop automated reporting tools. Auditing: Conduct audits on inventory records, store transactions, and stock management processes to ensure compliance with company policies. Perform physical stock verifications and reconcile discrepancies with system records. Assess internal controls, risk management practices, and the effectiveness of store and inventory operations. Prepare detailed audit reports with actionable recommendations to mitigate risks and improve accuracy. Ensure timely follow-up on audit action plans and report progress to management. MIS Preparation and Reporting: Develop and maintain comprehensive MIS reports to track key performance indicators (KPIs) related to inventory and store management. Prepare daily, weekly, and monthly performance and inventory status reports. Provide insights and recommendations to senior management based on MIS data analysis to support strategic decision-making. Design custom reports and templates to better monitor inventory movement and storage efficiency. Ensure timely dissemination of reports and data insights to relevant stakeholders. Qualifications: Bachelor s degree in any field. Proven experience (1-3 years) in data analysis, auditing, and MIS reporting preferably in inventory or supply chain management. Proficiency in data analysis tools and ERP systems such as Excel, SAP, and Power BI. Basic knowledge of inventory management and control processes. Strong analytical, problem-solving, and communication skills. Qualification : Bachelors degree in any field.

Senior Analyst, Rejection Management Location: Gurugram, India Employment Type: Full-time Department: Global Operations About Commure Commure builds AI-powered healthcare technology to reduce administrative burden, helping providers focus on patient care. Our suite of tools includes revenue cycle management, clinical documentation, patient engagement, and more supporting over 250,000 clinicians nationwide. Role Overview As a Senior Analyst on the Rejection Management team, you will manage claim rejections by identifying issues, collaborating with insurers and billing teams, and driving timely resolution. Your efforts will improve revenue cycle efficiency and help ensure accurate claim submissions. Key Responsibilities Analyze rejected claims to determine reasons for rejection and gather info for resubmission. Work with insurance companies to obtain additional documentation, correct errors, and resubmit claims. Maintain thorough knowledge of payer-specific guidelines, policies, and procedures. Track and document claim rejections, resolutions, and resubmissions in internal systems. Monitor claim rejection trends and suggest process improvements to reduce future rejections. Educate and train staff on best practices for claims submissions and billing procedures. Participate in team meetings to discuss issues, share insights, and improve revenue cycle performance. Requirements 2-3+ years of experience in medical billing, coding, or revenue cycle management. Basic understanding of medical billing and coding practices (ICD-10, CPT, HCPCS). Familiarity with payer-specific guidelines and billing policies. Strong communication, interpersonal, and problem-solving skills. Detail-oriented with excellent organizational and time management abilities. Proficient with billing software and Microsoft Office Suite. Ability to thrive in a fast-paced, high-pressure environment. Mission-Driven: Work to transform healthcare and support providers. Strong Backing: Supported by top investors like Sequoia, Y Combinator, and General Catalyst. Rapid Growth: Over 500% YoY growth pre-merger with strong funding and runway. Competitive Benefits: Flexible PTO, healthcare coverage, parental leave (location dependent).

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.

Backend Engineer Location: Gurugram, India Type: Full-Time Experience: 1 2 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial planners. We empower top advisors across the country to deliver smarter investment strategies by offering tools that help rebalance portfolios, execute high volumes of transactions, and track financial goals. If you're passionate about building tech that transforms the way people invest, we d love to have you on our team. Role Overview We are seeking a motivated and skilled Backend Engineer with a strong foundation in server-side development, API design, and system architecture. As part of our backend team, you will help design and build scalable systems that power critical components of our platform and drive financial decision-making for millions of investors. Key Responsibilities Develop and maintain robust RESTful APIs. Build dynamic, high-performance backend systems using modern frameworks and tools. Ensure high-speed, low-latency server response times. Design and implement various types of data stores relational, document-based, key-value, or graph. Integrate indexing systems and messaging queues as needed. Deploy, monitor, and maintain applications on cloud infrastructure (AWS, Azure, Heroku). Participate in technical design discussions and document solutions. Work closely with frontend developers and product teams to deliver features end-to-end. Required Skills & Experience 1 2 years of backend development experience. Proficient in Node.js, Express.js, and JavaScript. Solid understanding of MySQL, MongoDB, and Elasticsearch. Experience in database design and system architecture. Familiarity with modern web application architecture and cloud services (AWS, Azure, or Heroku). Basic understanding of Docker and containerized applications. Strong problem-solving and algorithmic thinking. B.Tech in Computer Science or equivalent practical experience. Nice to Have Exposure to other backend languages like Python or Java. Hands-on experience with messaging systems like RabbitMQ, Kafka, etc. Some DevOps experience or familiarity with CI/CD pipelines. Perks & Benefits 5-day work week with flexible timings. Free group medical insurance for permanent employees (coverage up to 3 Lakhs). Free consultations with certified financial planners for your personal financial journey. Expert guidance to kickstart your own investment planning. Regular fun activities and a collaborative work culture. As part of Investwell, you ll contribute to software that directly impacts how India invests. You'll gain hands-on experience in building scalable fintech systems, and work alongside experienced engineers and financial experts on industry-leading tools. Qualification : B.Tech in Computer Science or equivalent practical experience.

Job Title: Customer Success Manager Location: Gurugram, Haryana (Onsite) Experience: 3 5 Years | Type: Full-Time About Spyne At Spyne, we are transforming the automotive retail industry with cutting-edge Generative AI solutions. With over 52 million cars sold annually in the US alone, our AI-powered imaging platform enables dealerships and marketplaces to create studio-quality visuals boosting engagement, footfall, and ultimately, sales. We re on a mission to become the leading AI software provider for the used-car market. From acquisition to appraisal, listing, marketing, and CRM Spyne aims to power every stage of the automotive retail journey with intelligent automation. Backed by Accel Partners, Storm Ventures, and other top investors, our team in Gurugram is scaling fast across the US and Europe, building impactful solutions for over 150K dealerships. About the Role: Customer Success Manager We are looking for a Customer Success Manager (CSM) with a proven track record in SaaS client management to own relationships, retention, and success for our US and EU customers. You ll serve as a trusted advisor to mid-market clients ensuring they unlock the full value of our platform and remain long-term partners. If you're a relationship-builder, data-driven thinker, and problem-solver who thrives in fast-paced environments, this is your opportunity to make a global impact. Key Responsibilities Client Relationship Management Own and nurture long-term relationships with mid-market clients across North America and Europe Serve as the main point of contact for a portfolio of customers, driving satisfaction and value realization Conduct regular QBRs, performance reviews, and check-ins to ensure goal alignment Account Growth & Retention Monitor account health and identify churn risks early, deploying proactive measures Spot and execute upsell and cross-sell opportunities in collaboration with the Sales team Ensure a seamless customer experience across onboarding, support, and renewals Data-Driven Insights & Strategy Analyze usage data, customer behavior, and feedback to uncover opportunities for growth and improvement Run customer satisfaction surveys (e.g., NPS) and translate insights into actionable product or process improvements Advocate for customer needs in internal roadmap discussions with Product and Engineering teams Tools & Operational Excellence Manage customer data and communication effectively using CRM tools like Salesforce, HubSpot, or similar Maintain accurate account records, ensuring consistency, reporting accuracy, and informed decision-making Cross-Functional Collaboration Partner with Product, Marketing, Sales, and Support teams to drive customer adoption and satisfaction Act as the voice of the customer, influencing product features, improvements, and support processes What You ll Bring 3 5 years of experience in Customer Success or Account Management within a SaaS company Proven success in managing mid-market clients across US and European regions Strong command of CRM systems (e.g., Salesforce, HubSpot) and analytics tools Excellent written and verbal communication skills with a customer-first mindset Strong problem-solving skills and the ability to handle escalations with tact and professionalism Familiarity with data-driven decision-making and success metrics Comfortable working in US time zones as needed (Preferred) Knowledge of the automotive SaaS space or experience supporting independent dealerships Fast-growth stage startup backed by top-tier global investors Work with a young, passionate team (average age: 25 26) led by seasoned professionals Best-in-class gender diversity in the AI tech industry Transparent, inclusive, and employee-first culture with near-zero attrition Excellent health, leave, and compliance-friendly policies Huge opportunity to grow 10x+ in your career as we scale across global markets If you're ready to take ownership of global customer relationships and drive real impact in a hyper-growth company, we d love to hear from you. Apply now and let s drive the next wave of automotive innovation together.

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Director, Data Protection Officer Location: Gurgaon, India Full Time Company: Meta Meta is looking for a Director to join its Product Compliance and Product organization as India s local Data Protection Officer (DPO), reporting to the Global Data Protection Officer. We are seeking someone who thrives in a fast-paced, dynamic environment, has a strong ability to navigate complex cross-functional initiatives, and is excited to provide strategic guidance to ensure compliance with India s new privacy regulations. The Global Data Protection Officer is responsible for monitoring internal compliance with global data protection laws. In this role, you will represent the Global DPO office in India and work closely with local cross-functional teams to fulfill the responsibilities of the Global DPO. You will also engage with India s Data Protection Board and the Ministry of Electronics and IT (MeitY) to help Meta align with the regulator s expectations. To be successful in this role, you should have extensive knowledge of India s Digital Personal Data Protection Law, data protection laws, regulations, and best practices, with a proven track record in ensuring compliance. You will also manage regional DPOs overseeing regions such as AMET (Africa, Middle East, Turkey), Latin America, Canada, and Asia Pacific. This is a leadership role that requires strong cross-functional collaboration, excellent project management skills, and the ability to work effectively in an ever-evolving regulatory environment. Responsibilities: Manage the relationship with India s Data Protection Board and the Ministry of Electronics and IT (MeitY), while overseeing relationships with other Data Protection Authorities in the AMET, Latin America, Canada, and APAC regions. Lead partnerships with key stakeholders to establish processes for how the Global DPO will carry out its responsibilities. This includes advising on key decisions, assessing privacy compliance programs, supporting escalations, and responding to user and regulator inquiries. Provide strategic leadership on how Meta complies with data protection laws (including India s DPDP) across regions. Oversee the execution of privacy law mandates, such as reviewing Data Protection Impact Assessments (DPIAs), addressing Data Subject Rights (DSR) escalations, and advising on privacy compliance. Drive accountability and performance through key metrics to measure success and ensure critical projects remain on track. Anticipate bottlenecks, provide escalation management, and ensure user privacy is always prioritized. Minimum Qualifications: 12+ years of experience in compliance, program/project management, operations, or strategy. Experience engaging with regulators and managing complex relationships with external stakeholders. Experience working in a product environment and collaborating with cross-functional stakeholders, including legal, policy, and product teams. Proven experience advising on compliance with data protection laws and privacy requirements. Experience building and iterating on complex processes requiring both process and change management. Exceptional communication skills with a track record of aligning cross-functional teams around shared goals. Strong project management, problem-solving, time management, and organizational skills. Ability to thrive in ambiguity and an evolving regulatory environment while building new processes and driving standardization. Preferred Qualifications: In-depth knowledge of data protection and privacy requirements, especially those applicable to global tech companies. Experience implementing mandated requirements of the DPO or acting as a DPO. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook s launch in 2004, Meta has changed how people connect. Apps like Messenger, Instagram, and WhatsApp have empowered billions of users worldwide. Meta is now expanding beyond 2D screens into immersive experiences such as augmented reality and virtual reality, helping build the next evolution in social technology. By joining Meta, you ll be part of shaping the future of digital connection beyond the constraints of screens, distance, and even physics! Equal Employment Opportunity: Meta is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics.

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 Summary: Field Technician (Wall Box Installation Training) We are seeking skilled and dedicated Field Technicians to join our team for wall box installation training. The ideal candidate will be responsible for inspecting and troubleshooting wall box units at customer sites, ensuring that all installations meet safety, quality, and regulatory standards. Key Responsibilities: Installation: Install wall boxes (e.g., electrical, utility, or network boxes) at designated sites according to specifications. Ensure proper alignment, connections, and functionality of the wall boxes. Perform installation of necessary components, including wiring, connections, and equipment integration. Inspection and Troubleshooting: Conduct post-installation inspections to ensure the wall box units are functioning properly. Diagnose and troubleshoot issues related to wall boxes, resolving problems efficiently. Document and report any issues encountered during installation or inspection. Customer Interaction: Communicate effectively with customers to ensure satisfaction and understanding of the installation process. Provide clear instructions for post-installation use, if necessary. Address any on-site questions or concerns regarding the installation. Compliance and Safety: Adhere to safety protocols and regulations at all times during installation. Ensure all installations comply with local building codes and regulations. Maintain a safe and clean work environment. Documentation and Reporting: Complete all installation forms, checklists, and reports accurately and in a timely manner. Submit work orders, time logs, and other required documentation to management. Support: Assist in creating the new network in the region of East for the wall box process. Requirements: Proven experience in wall box installation or a similar technical field. Basic knowledge of electrical systems, wiring, and troubleshooting techniques. Ability to read and interpret blueprints, diagrams, and technical documentation. Strong problem-solving skills and attention to detail. Excellent communication and customer service skills. Ability to work independently and as part of a team. Willingness to travel to different installation sites. About Allianz Group: Allianz Group is one of the most trusted insurance and asset management companies in the world. We care for our employees, their ambitions, dreams, and challenges, making us a unique employer. Together, we can build an environment where everyone feels empowered and confident to explore, grow, and shape a better future for our customers and the world around us. At Allianz, we believe in a diverse and inclusive workforce. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, regardless of ethnicity, cultural background, age, gender, nationality, religion, disability, or sexual orientation. Great to have you on board. Let's care for tomorrow.

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 description About this role The Role: The role of an Executive Researcher is instrumental in building human capital at BlackRock. Part investigative research, part consultancy and part analytical the role is varied and requires intelligence, an understanding of business and a good eye for detail. The Executive Researcher will leverage his/her research expertise and knowledge of the Financial Services sector to support the team s development. This includes both execution of requisitions globally as well as leading and supporting knowledge management initiatives. The Executive Researcher will work closely in collaboration with the executive recruiters around the world as a fully integrated team member on senior-level, international projects. Key responsibilities Requisitions: Demonstrate excellent research expertise and build in-depth knowledge of key markets and talent pools. Leverage individual and Firm knowledge/experience to act as a key enabler in the start-up phase of the search process. Identify potential candidates through internal/external sources. Analyzing information to develop insights and business intelligence. Partner closely with the Executive Recruiting team throughout the processes to bring forward candidate solutions and supporting client materials, such as client-ready documents and progress reports. Ensure the real-time capture of insights on candidates and companies and create a repository for the broader benefit of the research team. Maintain accurate and real-time updates in proprietary internal database. Promote best practices across the organization. Provide a high touch recruiting experience to our candidates, ensuring real time status updates in close partnerships with the recruiters and hiring managers. Partner with colleagues in the Talent and Diversity team. Leverage networks, and external suppliers/partners to ensure BlackRock has a high-quality diverse talent slate for all roles. Assist with candidate development and assessment, database management, and knowledge management. Knowledge Management initiatives: Track market/ candidate developments and disseminating this information in a targeted manner. Provide synthesized analysis of markets, competitors and compensation as required. Proactively provide insights on industry trends and key companies Proactively support knowledge management activities (organizational charts, candidate lists, industry trends) Record pertinent information in a timely manner; ensure relevant learnings and documents are captured and disseminated. CANDIDATE PROFILE Knowledge/Experience: An undergraduate degree from an accredited academic institution is required, and an advanced degree is an advantage. Knowledge and experience in the Financial Services sector 2+ years of research experience; experience of working on international engagements in a professional services environment would be an added advantage. Previous experience with candidate sourcing tools and methods Experience of working on international/ global engagements in a professional services environment. The ability to establish priorities, manage deadlines and exercise a high degree of professionalism in interactions with all levels of clients. Ability to be proactive and take initiative, follow-up and follow through on all areas of responsibility and anticipate business needs and plan accordingly. Knowledge of Microsoft Office and how to use its suite. Experience of working across geographies and building relationship networks through virtual teams. Skills: Excellent communication skills, superior organization, prioritization, and self-motivation skills. Highly effective interpersonal skills to facilitate frequent interaction with colleagues around the world and build effective, trust-based working relationships. Confident and concise style Drive for learning / intellectual curiosity; asks questions and seeks input from colleagues to build knowledge and expertise. Able to challenge own assumptions and engage in active listening and critical thinking. Proactive; has a can do attitude. Comfortable with ambiguity and a fast-paced environment. Skilled in operating in a team environment and work collaboratively. Structured and systematic in approach. International outlook and multicultural mindset. #EarlyCareers 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, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Qualification : An undergraduate degree from an accredited academic institution is required, and an advanced degree is an advantage.

About dunnhumby dunnhumby is the global leader in Customer Data Science, empowering businesses to thrive in the modern data-driven economy by putting the Customer First. Our mission is to help businesses grow and reimagine themselves by becoming true champions for their customers. With deep expertise in retail, one of the world s most data-rich and competitive sectors, we enable businesses across industries to embrace a Customer First mindset. With nearly 2,500 experts across Europe, Asia, Africa, and the Americas, we partner with iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro, delivering transformative customer insights and data-driven strategies. About the Role We are looking for a talented Engineering Manager to lead a team of engineers focused on building products that empower Retailers to transform their Retail Media business, maximizing ad revenue and enabling massive scale. As Engineering Manager, you will play a pivotal role in designing and delivering high-quality .NET Core-based solutions. You will guide a team of engineers, contribute to system architecture, enforce engineering best practices, and drive innovation. Your technical expertise, leadership, and results-driven mindset will be critical to the success of our products. Key Responsibilities Leadership & Team Management Lead and manage a team of software engineers, fostering a culture of collaboration, growth, and continuous development. Conduct regular performance reviews and provide constructive feedback. Mentor and coach junior engineers, nurturing talent within the team. Balance delivery timelines with technical excellence. Technical Oversight & Delivery Collaborate with Product Managers and Architects to define technical roadmaps and align engineering efforts with product goals. Oversee the design, development, and delivery of solutions built on .NET Core within a microservices-based architecture. Implement and enforce best practices in coding, CI/CD pipelines, and DevOps processes. Ensure adherence to security, compliance, and quality standards throughout the SDLC. Process Improvement & Innovation Drive continuous improvement initiatives to enhance developer productivity, system performance, and engineering processes. Advocate for the adoption of modern tools, frameworks, and approaches to optimize delivery. Encourage a culture of experimentation and innovation, ensuring the team stays up to date with emerging technologies. Skills & Experience Required Technical Expertise Strong hands-on experience with C# and .NET Core. Deep understanding of design patterns, SOLID principles, and system design. Expertise in Relational Databases such as SQL and PostgreSQL. Experience with BigQuery, Redis, and ElasticSearch is a plus. Familiarity with microservices architecture and event-driven systems (e.g., RabbitMQ, Google Pub/Sub). Proficiency in containerization technologies like Docker and Kubernetes. Hands-on experience with DevOps tools (e.g., GitLab CI/CD) and practices. Strong understanding of cloud platforms, especially GCP (preferred) or Azure. Experience working with distributed systems, multi-tenant services, cloud-native applications, and Unix/Linux environments. Quality, Testing & Security Familiarity with the Testing Pyramid and relevant tools at each level. Hands-on experience with Code Quality and Secure Code Scan tools (e.g., SonarQube, Checkmarx, ESLint, Resharper, Trivy). Experience implementing observability using tools like NewRelic. Ways of Working Strong understanding of the software development lifecycle (SDLC) and Agile methodologies. Proven track record of delivering high-quality software on time. Exceptional communication, interpersonal, and leadership skills, with the ability to motivate and align teams. Experience in the AdTech or Retail domain is a plus. What You Can Expect from Us At dunnhumby, we go beyond expectations to provide a rewarding career experience: Competitive compensation and comprehensive benefits. Flexible working hours and your birthday off. Opportunities to work with cutting-edge technologies and drive real impact. A collaborative, innovative environment where you can experiment, learn, and grow. A balance of global scale and agility, giving you both freedom and responsibility.

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.

Job Description Join us as a Customer Service & Operations Analyst We ll look to you to deliver successful outcomes for your customers by investigating their queries and understanding their needs. You ll be liaising with customers and businesses to accurately collect information in order to solve their queries. You ll be able to showcase your knowledge and enthusiasm as you deal with a variety of different customers on a daily basis. We're offering this role at senior analyst level. What you'll do As a Customer Service & Operations Analyst, you ll be responding to queries from customers promptly and within our service targets. We re looking for someone with strong interpersonal skills to listen to our customers, develop relationships with them, and maintain an understanding of their needs at all times. Day-to-day, you ll be: Authorising and investigating transactions. Collecting and analysing the required information from the customers and businesses. Reviewing processes which could be automated or enhanced to improve the customer and business experience. The skills you'll need In order to excel in this role, you ll have strong customer service abilities along with customer and industry knowledge. You ll also work well in a fast-paced environment and have good organisational skills to deliver to deadlines. You ll also demonstrate: An awareness of changes in trends, policies, and regulations. An understanding of our industry and its customers. Experience of managing stakeholder relationships. Expertise in the CDD process. Prior experience in QC is an added advantage. Minimum of 4 years of experience in CDD is required.

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.

Sales Commissions Analyst Company Overview MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database, available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 175,000 new developers signing up every month, leading organizations such as Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. Role Overview MongoDB continues to experience rapid growth, making this an exciting opportunity to contribute to a dynamic and expanding company. We are looking for a Sales Commissions Analyst who is passionate about implementing process improvements and ensuring accuracy in the administration of our Global Sales Incentive Plans. This role will work closely with Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance, Accounting, and HR to enhance commission processes and systems for MongoDB s next stage of growth. Shift Timings: 6:00 PM - 2:00 AM (Night Shift) Cab facility will be provided. Location: We are looking to speak to candidates based in our Gurgaon office for our hybrid working model. Responsibilities Administer MongoDB s Global Sales Compensation Plan in Xactly Incent, ensuring accurate electronic distribution and acceptance tracking. Perform commission calculations to ensure timely and accurate payments, aligned with company policies and compliance. Partner with Sales Operations and Sales Finance to deploy annual compensation plans worldwide on schedule. Identify and implement efficiency improvements within the commissions process and workflows. Support the design, implementation, and testing of sales compensation plans, policies, and process changes throughout the year. Provide quality support to sales teams and resolve commission-related queries and exceptions in a timely manner. Collaborate with Business Systems and other teams to scale the commissions process and systems in line with company growth. Conduct training for new and existing sales representatives and management on Xactly software and commission processes. Work with HR and Sales Operations to track sales employee data changes, including new hires, terminations, promotions, and retroactive adjustments. Prepare and post monthly sales commission and bonus accruals and payments. Assist with ad hoc data gathering, reporting, analysis, and other projects. Maintain and develop written process documentation to effectively manage all compensation-related activities. Experience & Skills Minimum 2 years of experience in Sales Commissions or a relevant area. Experience in a publicly traded technology company is preferred. Strong understanding of sales compensation processes, business acumen, and key concepts. Experience administering complex Incentive Plans. Proficiency with Microsoft Excel, Google Sheets, Advanced Formulas & Functions. Hands-on experience with Xactly Incent & Analytics or a similar commissions/reporting tool. Familiarity with Salesforce.com, NetSuite, SuccessFactors, ZenDesk, Smartsheet, and Tableau is a plus. Strong interpersonal and communication skills, with the ability to collaborate across multiple departments. Ability to manage multiple projects and meet deadlines efficiently. Personal Attributes Highly detail-oriented with strong organizational and time management skills. Excellent verbal and written communication skills. Self-motivated with the ability to work independently and take initiative. Critical thinker who identifies problems, suggests improvements, and implements solutions. At MongoDB, we are committed to fostering a supportive and enriching culture for all employees. We offer a range of benefits, including employee affinity groups, fertility assistance, and generous parental leave policies, ensuring that we support employees both professionally and personally. Learn more about what it s like to work at MongoDB and make a meaningful impact on the world! Equal Opportunity & Accommodations MongoDB is an equal opportunities employer. We are committed to providing necessary accommodations for individuals with disabilities throughout our application and interview process. If you require an accommodation, please inform your recruiter.

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