Top Data & Analytics Jobs in Mumbai, MH

The Quantitative Modeler will join the Portfolio Risk Modeling team to build and maintain risk models, ensuring model governance and collaborating with stakeholders on performance and analytics.

Lead design and delivery of enterprise data platform capabilities, building scalable ingestion, transformation and orchestration pipelines using Python, Airflow, Snowflake and dbt. Drive metadata, lineage, data quality, observability, and Agentic AI integrations; support production L2/L3 operations, CI/CD deployments, POCs, cross-functional integration, and mentor engineering teams within an Agile framework.

Deliver customized portfolio risk and performance reports for financial advisors, customize model portfolios, analyze product performance and market data across asset classes, support ad-hoc reporting, document processes, and drive automation and efficiency improvements while meeting quality and timeline standards.

Embed with partner teams to onboard and validate data products on DPaaS, troubleshoot pipelines, build reusable ingestion/transformation accelerators, run enablement, and contribute AI-assisted onboarding and platform features across structured and unstructured data.

Design, develop, test, deploy, and maintain cloud data platform components and automated pipelines using Airflow, Python, Snowflake and dbt; support teams, ensure performance and scalability, perform root-cause analysis, and provide L2/L3 operational support within Agile SDLC.

The Executive Director will lead the Data & Analytics team, drive global data strategy, oversee data delivery, and partner with various business functions to enhance AI and data capabilities.

The Vice President, IT Data Analytics leads analytics engineering to enable AI-driven solutions, manages data pipelines, and collaborates across teams to enhance business intelligence and analytics capabilities.

Lead strategic development of data quality frameworks and controls within BlackRock's data ecosystem, ensuring reliable and accurate data for decision-making.

Deliver timely performance reporting and risk metrics for private equity portfolios. Monitor and analyze investment, portfolio and fund performance; produce monthly/quarterly/ad hoc reports and investor data requests; maintain data integrity across systems; coordinate with Valuation, Fund Accounting, Investor Relations, Compliance and Portfolio Managers; assist with operational due diligence and support new product launches and custom client servicing.

Lead design and delivery of scalable data pipelines and platforms for structured and unstructured data. Own end-to-end ingestion, transformation, orchestration, storage, and serving for analytics and AI use cases. Architect data models and reusable components, enforce engineering best practices, implement data quality/observability, optimize cloud workloads, mentor junior engineers, and partner with cross-functional teams to deliver enterprise-scale data products.