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Tier-1 brand, metro Bangalore location, mid-level generalist analyst title, and broad Python/ML requirements increase candidate density.
High—role requires investment domain knowledge, model risk and regulatory familiarity beyond generic data skills.
Moderate filters: 2-5 years, STEM degree, and mandatory Python/SQL plus model risk understanding.
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Support oversight and monitoring of investment and AI-enabled models through quantitative analysis and performance testing.
Develop and maintain analytical tools, dashboards, and automation to support model risk management and monitoring.
Prepare governance documentation, monitoring reports, and collaborate with model users and stakeholders for model validation and regulatory compliance.
Degree in STEM field such as mathematics, statistics, physics, engineering, computer science, quantitative finance, or economics; advanced degree preferred.
2-5+ years experience in quantitative analysis, data science, analytics, risk management, investment analysis, or related field.
Experience with programming and data analytics tools including Python, SQL, Power BI, or similar technologies.
Work Experience Required: 24 months as Associate Analyst/Associate Consultant/Technical Coordinator (for internal applicants); external applicants have 2-5+ years experience.
Strong quantitative and analytical background with familiarity in statistics, mathematical modeling, machine learning, and AI concepts.
Experience working with large datasets, automation, statistical analysis, and data visualization techniques.
Able to communicate complex analytical concepts clearly and work collaboratively with technology and business stakeholders.