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TIAA

Quantitative Risk Management Analyst – Financial Risk Developer

TIAA

. Review and analyze the portfolio for Market Risk .

Posted 10/20/2026full-timeMumbai • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in financial risk analysis and quantitative modeling, with proficiency in Python and advanced mathematics. Capable of building and enhancing risk analytics systems and performing model validation within the Asset Management domain.

Highest-signal resume keywords
Python ProgrammingFinancial Risk AnalysisQuantitative ModelingModel ValidationData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantitative AnalysisFinancial ModelingAdvanced MathematicsStatisticsModel Risk Assessment
Soft Skills
Excellent Communication Skills
Tools & Technologies
MSCI Risk ManagerFactSetTableauPower BIRDBMS
Industry Keywords
Market RiskAsset ManagementFinancial Risk ManagementEquitiesFixed Income

Tech Stack

Tools & technologies
MySQLOraclePythonRDBMSSQLTableau

About the role

Key responsibilities & impact
  • Review and analyze the portfolio for Market Risk
  • Develop or validate quantitative models, including investment risk, VaR, and product pricing models
  • Perform model risk assessment and governance
  • Build and enhance risk analytics systems, processes, and reports
  • Support the Enterprise Risk team at TIAA
  • Perform financial risk analysis and implement models in Python
  • Work with the Risk Data Analytics and Infrastructure team
  • Work closely with U.S. colleagues and other partners to improve technology and processes

Requirements

What you’ll need
  • Bachelor's degree in information technology or related fields
  • 3+ years of work experience required; 5+ years preferred
  • Prior experience with Python for financial risk analysis and modeling
  • Domain knowledge in Asset Management / Financial Risk Management
  • Deep understanding of financial products data, including Equities and Fixed Income
  • Experience building feeds to risk engines such as MSCI Risk Manager and FactSet using batch or service APIs (preferred)
  • Experience with R (preferred)
  • Experience with Tableau or Power BI (preferred)
  • Experience with RDBMS such as Oracle, MS SQL, or MySQL (preferred)
  • Excellent verbal and written communication skills
  • Advanced mathematics, data analysis, financial modeling, model validation, programming, quantitative analysis, and statistics

Benefits

Comp & perks
  • Equal Opportunity Employer
  • Accessibility support for online application process
  • Meaningful learning experiences and development pathways
  • Future-focused skills and AI tools
  • Collaborative in-office environment