Top Data & Analytics Jobs in Mumbai, MH

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 Investment Analyst will construct and oversee multi-strategy portfolios, analyze investment data, support client relationships, and automate processes using Python and SQL.

The Associate Quantitative Analyst will participate in product development cycles, work with data, and collaborate with research teams to create Benchmark Indexes.

As a Data Analyst at Morningstar, you'll gather and analyze data, assist with internal queries, and enhance data processes. This role is ideal for fresh graduates and offers structured training in investment management.

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 Senior Data Analyst will manage investment data collection, ensure data accuracy, facilitate cross-team projects, and improve data quality processes.

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.