Business Modeling Jobs in Gurgaon

Job Title: Wholesale Portfolio Analyst Location: Gurgaon Job Family: Financial Services Employment Type: Full-Time About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is breaking new ground to sustainably advance the noble work of farmers and builders globally. Our products, ranging from alternative power to precision productivity tech, help feed and shelter a growing population. Join a collaborative global team passionate about driving customer success and innovation. Job Purpose As a Wholesale Portfolio Analyst within Wholesale Finance, you will collaborate with Commercial Sales, Retail Sales, Credit, and Operations teams to manage inventory funding (supply chain finance) for local dealers. You will oversee portfolios of local dealers and end users for whole goods and spare parts in the Agricultural & Construction Equipment business. Key Responsibilities Onboard new and existing dealers, ensuring completion of financial documentation and credit requirements. Coordinate with Commercial Sales, Retail Sales, Credit, and Operations for dealer stock audit management. Continuously follow up on account recoveries and implement timely corrective actions. Manage Bank Guarantees including audits and renewals. Support alignment of Wholesale Credit processes with CNH Capital global practices. Collaborate with Capital Retail teams to increase penetration and enable smooth dealer outstanding rotation. Monitor portfolio delinquency regularly. Conduct dealer location visits for critical accounts. Support policy and procedure definition for the India region. Experience Required Minimum 5 years of financial experience, including at least 3 years in Banking, NBFC (supply chain finance, inventory funding, dealer funding), or credit control in industrial organizations. Knowledge of local trade operations and Incoterms. Proficient in Microsoft Office applications. Preferred Qualifications CA or MBA with a university degree in Economics, Finance, or related fields. Dynamic international career opportunities. Inclusive and respectful workplace culture. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave and adoption assistance. Fertility and family-building support. Employee assistance programs. Charitable contribution matching and volunteer time off. Grow your career at CNH Industrial where innovation meets purpose. Qualification : CA or MBA with a university degree in Economics, Finance, or related fields

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

Job Title: Senior Software Developer (SAP BusinessObjects) Location: Gurugram, India Job Type: Full-Time | Permanent About G+D For over 170 years, Giesecke+Devrient (G+D) has been a global leader in SecurityTech, delivering innovative solutions in Digital Security, Financial Platforms, and Currency Technology. We safeguard physical and digital currencies worldwide. Join us and help shape the future of secure payments and cash management. Role Summary As a Senior Software Developer (SAP BusinessObjects), you will design, develop, and test reports and dashboards for our Compass Cash Center product, which serves banks and cash-in-transit businesses globally. You will focus on SAP BusinessObjects data engineering, universe design, and report creation to provide actionable insights supporting cash management operations. You will collaborate closely with cross-site Scrum teams based in India and Germany. Key Responsibilities Design, implement, and test SAP BusinessObjects reports for cash management solutions. Develop and maintain data models and universe designs aligned with reporting requirements. Create custom Web Intelligence reports and interactive dashboards. Collaborate with stakeholders to gather and understand detailed reporting needs. Assist in effort estimation for new reports and enhancement projects. Troubleshoot and resolve report development and performance issues. Develop proof of concepts (PoCs) to validate reporting designs and assumptions. Provide user training and documentation for reporting tools and processes. Participate in continuous development process improvements. Required Skills & Qualifications Bachelor s degree in Computer Science or related field. 5+ years of experience developing reports using SAP Business Intelligence (SAP BO 4.x). Certification in Web Intelligence for Business Intelligence (BI) Analytics preferred. 2+ years of experience with RDBMS technologies (Oracle, SQL Server). Strong proficiency in SQL and experience with Java and .NET applications. Hands-on experience with SAP BO Administration and universe design. Familiarity with version control tools like Git and Azure DevOps. Excellent troubleshooting and debugging skills. Strong communication skills with experience in multicultural team environments. Our greatest asset is our people. We foster an inspiring and diverse workplace that values professionalism, human values, and continuous growth. Join our international team and help improve security for billions worldwide. Qualification : Bachelors degree in Computer Science or related field.

Job Title: Revenue Finance Manager Location: Gurgaon, India Company: Builder.ai About Builder.ai At Builder.ai, we re making software development so easy, everyone can do it regardless of their tech skills or budget. We've empowered thousands of entrepreneurs and global giants like BBC, Makro, and Pepsi to bring their software ideas to life. And we re just getting started. Backed by $450M in funding, including a $250M Series D round and a strategic partnership with Microsoft, we re one of the fastest-growing AI tech companies globally. We were named one of Fast Company s Most Innovative Companies in AI (2023) and Europas Scaleup of the Year (2022). Life at Builder.ai Builder.ai isn t your average tech company. Here, experimentation is encouraged, innovation is expected, and learning never stops. You ll join a diverse, passionate, high-performance team that thrives on pushing boundaries and rewriting the rules of software development. We believe in Builder s HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, Transparency and most importantly, getting stuff done. As a Revenue Finance Manager, you'll be at the core of our financial operations driving accurate revenue recognition, leading strategic reporting, and enabling high-impact business decisions. You ll work across functions to manage our complex invoicing and revenue processes, support audits, and drive financial automation. This is a high-impact, high-visibility role ideal for someone who loves both strategy and execution, and who wants to play a foundational role in a fast-scaling finance function. Key Responsibilities Invoicing & Compliance Ensure invoicing aligns with contract terms across global regions. Partner with delivery, product, and customer teams for timely and accurate invoicing. Apply payments in systems like B360 and NetSuite. Revenue Recognition & Audit Support Understand and manage complexities like unbilled revenue, deferred revenue, and promotions accounting. Support external audits by preparing reconciliations and documentation. Automation & Optimization Lead automation of the payment application process. Identify red flags and revenue risks using data analytics. Drive adoption and optimization of NetSuite revenue modules. Month-End Close & Financial Control Assist with monthly/quarterly close activities. Prepare and account for credit notes as required. What You ll Bring Chartered Accountant (CA) qualification. 3 7 years of experience in revenue finance, invoicing, reconciliation, and ERP systems. In-depth understanding of revenue recognition standards (e.g., ASC 606 / IFRS 15). Hands-on experience with NetSuite or other major ERP platforms. Strong analytical mindset with experience in financial modeling, forecasting, and variance analysis. Excellent stakeholder management skills and attention to detail. What You ll Get Quarterly discretionary variable pay Stock options in a $450M Series D tech company 24 days annual leave + public holidays 2 Builder family days + Christmas-New Year time off Fully funded private medical insurance Free lunch at our state-of-the-art Gurugram office Generous referral bonus scheme Why You Should Join If you re a finance leader in the making who wants to go beyond the numbers, challenge yourself daily, and grow with a fast-paced, mission-driven company this is your chance to do it at scale. Apply now and take your career to the next level with Builder.ai. Qualification : Chartered Accountant (CA) qualification.

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.

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.

Growth Analyst Location: Gurugram, India Employment Type: Full-time About ixigo ixigo is a technology company revolutionizing the way Indian travelers plan, book, and manage their trips. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo helps travelers make smarter decisions through AI, machine learning, and data science. With apps like ixigo, ConfirmTkt, and AbhiBus, ixigo offers travelers the ability to book train, flight, bus tickets, hotels, and much more. In 2022, ixigo was named one of the Top 10 Most Downloaded Travel Apps worldwide (data.ai). Headquartered in Gurugram, ixigo also has offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus). Job Description We are looking for a Growth Analyst to join our dynamic team. As a Growth Analyst, you will help us unlock growth opportunities by analyzing customer behavior and campaign performance. You will collaborate closely with marketing, product, and data teams to develop data-driven strategies that drive user acquisition, activation, retention, and revenue growth. Your work will directly impact how we scale smarter and faster. Key Responsibilities Data Analysis & Insights: Analyze user behavior, campaign performance, and funnel metrics to identify and drive growth opportunities. Reporting & Dashboards: Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track key performance indicators (KPIs). Data Querying & Processing: Develop SQL queries to extract, clean, and aggregate data from various sources and databases. A/B Testing & Experimentation: Design and run A/B tests and experiments to evaluate new growth initiatives and optimize performance across all user touchpoints. Strategic Collaboration: Work closely with marketing and product teams to design data-driven growth strategies that increase customer acquisition, activation, retention, and lifetime value (LTV). Campaign Measurement & Optimization: Support the measurement of paid and organic campaigns (including email, search, social media) and provide actionable insights to improve their effectiveness. Core Technical Skills SQL & Relational Databases: Advanced querying skills, performance tuning, working with window functions and CTEs. Data Visualization & BI: Proficiency in tools like Tableau, Power BI, or Looker for building dashboards and reports. Spreadsheet Modeling: Expert-level proficiency in Excel (pivot tables, macros; VBA is a plus). Scripting Languages: Familiarity with at least one scripting language (e.g., Python or R) for data cleaning, ETL tasks, and basic machine learning prototypes. Marketing Analytics Tools: Hands-on experience with Clevertap and Firebase for user engagement and campaign tracking. Good to Have Marketing Analytics Tools: Experience with tools like Google Analytics 4, Mixpanel, and Clevertap for campaign performance tracking. Ad Platforms: Basic understanding of programmatic ad platforms (e.g., DV360, Meta Ads API). Data Warehouses: Exposure to SQL-based data warehouses like Snowflake, BigQuery, or Redshift. Impactful Work: Directly contribute to the growth and success of a leading travel tech company. Collaborative Culture: Work with talented professionals across diverse teams. Career Growth: Opportunities for fast-paced career development. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: We encourage a healthy work-life balance in a supportive environment.

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!

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: Manager - Business Analytics Location: Gurugram Experience: 6+ Years (1+ Years as Manager in MIS, WFM, or Reporting) Education: Any Graduation Job Description: We are seeking a Manager - Business Analytics to effectively lead our Business Analytics function and manage a team of 15-20 business analysts. In this role, you will be responsible for implementing tools and strategies that translate raw data into valuable business insights. Your goal will be to help drive high performance and quality by leveraging data for decision-making. Strong logical reasoning skills, business intelligence, and excellent communication abilities are essential for this role. Key Responsibilities: Team Leadership: Lead and manage a team of 15-20 Business Analysts, providing guidance and support in their daily activities and ensuring the accuracy and efficiency of their work. Data Reporting & MIS Generation: Generate, maintain, consolidate, and track various reports, ensuring timely and accurate delivery. Develop and execute daily, weekly, and monthly MIS Reports, utilizing advanced Excel/VBA, PPT, and MySQL. Update informative dashboards regularly with data visualization elements like Bar Charts, Pie Charts, etc. Reconcile and email MIS reports with data visualization details and track business performance. Data Analysis & Experimentation: Conduct data-based experiments to identify opportunities for improving the decision-making process. Develop and execute statistical modeling techniques for better business insights and to cover adjacent categories. Identify opportunities for automating reports, snapshots, and dashboards using advanced formulas, macros, and VB. Strategy & Process Optimization: Develop strategies for effective data analysis and reporting, ensuring that insights generated are aligned with business goals. Build systems and tools that can transform raw data into actionable business insights. Work closely with cross-functional teams to ensure that all analytics solutions are correctly configured and implemented. Data Quality & Integrity: Oversee all analytics operations to identify discrepancies and ensure the data is of the highest quality. Identify gaps in reporting systems and drive improvements to ensure the accuracy of business-critical data. Cross-Functional Collaboration: Collaborate with other departments to gather insights, ensure consistent reporting, and solve business challenges using data-driven decisions. Skills and Qualifications: Experience: Minimum 6 years of overall experience in analytics or reporting, with at least 1 year as a Manager in MIS, WFM, or Reporting. Technical Skills: Proficient in Advanced Excel, VBA, PowerPoint, and MySQL. Experience in building and maintaining dashboards, utilizing data visualization tools. Strong understanding of statistical modeling techniques and experience in applying them to business problems. Leadership: Proven experience in managing and mentoring a team, with the ability to guide the team towards effective problem-solving and reporting outcomes. Analytical Mindset: Strong problem-solving abilities and a keen eye for detail, ensuring data accuracy and the generation of actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and understandable manner to stakeholders at all levels. Automation & Optimization: Expertise in automating reporting processes using advanced formulas, macros, and VB to improve efficiency and accuracy. Additional Information: Work Days: 6 Days a week. Location: Gurugram. Education: Any graduation (Bachelors or higher). What We Offer: Competitive salary and benefits. A collaborative and growth-oriented work environment. Opportunity to make a significant impact on business performance using data-driven insights.

About KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Description: Sr. Security Engineer - Application Security About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the Role: The Sr. Security Engineer will be responsible for supporting Gartner s AppSec function. This individual will play an integral role in, executing daily vulnerability Assessments functions; (ii) working closely with Information Security partners, and technology stakeholders to identify risks/vulnerabilities and collaborate with key stakeholders on remediation, developing and tracking risk/vulnerability remediation and prioritize effort across our various business units, partnering to implement security tools, technologies and controls with an appropriate balance of security, business, and user experience, while providing education and training; and engineer automation solutions and/or security tool integrations to assist with day-to-day AppSec responsibilities. What you ll do: Supports day-to-day life cycle management of identification and remediation of security vulnerabilities and threats to Gartner Systems and Data, partnering with key resources on remediation. Ability to create reasonable and actionable recommendations based on the analysis of vulnerability data and impact to Gartner s security posture. Coordinate the orchestration, automation, and management of security technologies and platforms. Own day-to-day life cycle management, including identification, threat assessment, threat modeling and risk avoidance. Apply technical expertise and skills to develop and implement solutions to meet complex business and technical requirements, working collaboratively across functional areas to turn innovative ideas into reality. Define and implement meaningful metrics to measure the effectiveness of security controls through KRIs and security scorecards. Serve as a subject-matter-expert for Application Security; act as a first point of contact for critical issues, security risk assessments and triaging CI/CD issues with Partners and stakeholders. Evaluate business and technical requirements to identify and implement tools, processes, and technologies to improve our security posture in our environments. Ensure the continuous improvement of existing compliance processes. What you ll need: Strong independent critical thinking, problem-solving skills, and the ability to consistently evaluate and pivot based on the current organizational priorities. Proven Experience Developing and maturing KPI s and Metrics to assess the effectiveness of a Application security program. Must Have: 4+ year s of Technical and Professional Expertise. Proven communication, collaboration, and critical thinking skills. Ability to define and communicate risk in a business-relevant language and to non-technical audiences. Deep technical expertise in at least one additional area of Information Security. Ability to think like a bad actor and use that context to develop threat models. Passion for finding flaws in processes and ability to efficiently communicate recommendations to fix them. Proven ability to communicate and educate Engineering and Architecture teams as to why Information Security is an important function to the business. Nice to Have: Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001/27013, NIST 800-53. Ability to automate tasks and code solutions to repetitive problems. Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash). Experience with penetration testing and web application assessment. Who you are: Proven communication, collaboration, and critical thinking skills. Ability to build trusting, meaningful relationships with peers, stakeholders, partners and suppliers. Ability to define and communicate risk in a business-relevant language to both non-technical and technical audiences. Ability to apply expert knowledge to solve complex business/technical issues strategically. Desire for life-long learning and continuous personal/professional development. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

Job Posting Title: Experienced Business Analyst - Capital Markets & Compliance Job Profile: Lead Business Analyst - Derivatives & Financial Markets Job Description: We are looking for a seasoned Business Analyst with 8+ years of experience to join our team. The ideal candidate will have strong documentation and conceptualization skills and deep expertise in Capital Markets, especially in derivatives, OTC, and transaction reporting. The role involves collaborating closely with Compliance, Operations, and Technology teams to gather and document business requirements, conduct impact assessments, and drive improvements in reporting and exception management processes. You'll work with global teams to align on project execution and solution design. Experience in ecommerce platforms, API, and SDK integration is essential. Primary Skills: Expertise in Capital Markets, OTC Derivatives, and transaction reporting Strong knowledge of ecommerce platforms, APIs, SDKs, and integration 8+ years of Business Analyst experience Strong analytical and problem-solving skills Excellent communication and documentation skills Experience with multi-system/application integration Secondary Skills: Knowledge in Foreign Exchange or Investment Banking Familiarity with Java technologies is a plus Experience in end-to-end platform implementations and application management Diversity & Inclusion Statement: Synechron celebrates Diversity & Inclusion as key pillars of our culture. We are an equal-opportunity employer, committed to creating an inclusive environment. We encourage applicants from diverse backgrounds to apply and are dedicated to fostering a work culture that promotes equality, diversity, and respect for all. About Synechron: Synechron is a global leader in technology and consulting services, specializing in financial services. We offer flexible work arrangements, mentorship programs, and continuous development opportunities for all employees.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered 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 to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

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.

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT 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 : 5-8 years of experience in a data engineering role

Position Title: Global Services Group (GSG) MIS & Analytics Analyst Functional Overview: The Global Services Group (GSG) delivers exceptional customer care, handling key functions such as Credit, Collections, and Fraud Services for our Cardmembers, Merchants, and Commercial Clients globally. Within GSG, the Late-Stage MIS & Analytics team plays a pivotal role in supporting executive leadership with comprehensive data insights, performance tracking, and business intelligence to drive key operational decisions. What You'll Do: MIS & Analytical Support: Provide in-depth MI and analytical support to executive leadership, focusing on key operations metrics across all Servicing functions within GSG. MIS Maintenance & Issue Resolution: Ensure the smooth operation of existing MIS systems, identify any data deficiencies promptly, and collaborate with relevant teams to resolve issues. Leadership Reporting & Insights: Understand and translate leadership's analytical and reporting needs into effective, user-friendly solutions that enhance decision-making. Industry Trends & Methodologies: Stay updated with the latest industry trends in analytics and emerging technologies, continuously improving reporting processes and methodologies. Required Qualifications: Technical Proficiency: Strong expertise in Hive, SQL, Big Query, Python, and statistical packages, with a solid understanding of Big Data ecosystems. Data Visualization: Proficient in using Tableau and Power BI to create impactful data visualizations. Communication & Relationship Management: Excellent communication skills with the ability to build strong relationships and collaborate effectively with leadership and cross-functional teams. Multitasking & Flexibility: Ability to manage multiple projects simultaneously, work under tight deadlines, and adapt to changing priorities. Analytical Mindset: Strong background in quantitative business analytics, with a creative and conceptual approach to solving business problems. Project Management Skills: Ability to manage projects effectively, translating business requirements into actionable insights and driving successful outcomes. Benefits & Perks: Competitive Compensation: Base salary and bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Access to on-site wellness centers (where applicable). Work-Life Balance: Flexible working arrangements, including hybrid, onsite, or virtual roles, depending on business needs. Parental Leave: Generous paid parental leave policies (depending on location). Career Development: Opportunities for continuous learning, career development, and training. Mental Health Support: Access to free, confidential counseling support through the Healthy Minds program. Why American Express? American Express is an equal opportunity employer, committed to creating a diverse and inclusive workplace. We offer a culture where everyone is seen, heard, and valued. Employment decisions are made based on merit, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.