Top Data & Analytics Jobs in Mumbai, MH

Join the Morningstar Indexes Team as an Associate Quantitative Analyst, participating in the development of benchmark indexes and collaborating with various research teams.

The Senior Analyst will conduct in-depth analysis of CMBS transactions, collaborating with teams to model cash flows, underwrite loans, and manage databases.

As a Senior Quantitative Developer, you'll implement credit modeling methodologies, collaborate with analysts, and develop applications on Python and AWS, ensuring a robust development environment and automated data pipelines.

The Senior Principal Quantitative Analyst ensures data accuracy for financial models, develops AI/ML validation frameworks, and enhances data quality processes. Responsibilities include collaborating on modeling readiness, applying statistical methodologies, and mentoring junior analysts.

The role involves conducting quantitative research for investment management, developing financial models, and leading research initiatives across various asset classes.

The Associate Quantitative Analyst will automate data analysis processes and enhance data analysis and workflow optimization tools. Responsibilities include delivering projects, conducting quantitative analysis, and developing integrations for data systems while ensuring compliance with regulations.

The Compliance Analyst will support the Financial Crime Compliance team by screening business relationships, implementing procedures, documenting reviews, and managing compliance culture within Morningstar.

The role involves data sourcing, validation, UAT, and managing corporate actions within financial indices while adhering to quality standards and client requirements.

The Senior Quantitative Analyst role involves developing innovative indexes through research, collaboration within teams, and publication of supporting materials. You'll require strong analytical and programming skills.

The Analyst will support cash flow analysis in mortgage-backed securities, develop tools in Python, SQL, and VBA, and analyze credit risks.