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TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services.

Perform independent validations of models covering a wide range of financial, economic and actuarial instruments.
- Assess models theoretical and conceptual soundness
- Evaluate model assumptions and limitations including input data and parameters, design and methodology
- Verify model implementation and performance
- Identify underlying model risk drivers and assess overall model risk level
- Document the review as well as any recommendations on improvements  
Team members have advanced knowledge of mathematics/physics/financial math and have 3 - 5 years working experience in quantitative financial modeling or model validation covering one or several of the following areas: stochastic processes/derivatives/structured products/credit and market risk/fixed income/asset allocation/actuarial/ALM. Programming skills in in both general-purpose languages such as C++, Java, Python and computational/statistical/data languages such as Matlab, SAS, R, SQL




- Master's Degree - Must be in a quantitative discipline in quantitative finance or hard science such as mathematics, physics, chemistry or engineering
- 1 - 3 Years of experience - Experience in mathematical finance, statistics, numerical methods. Content knowledge with respect to finance theory and financial instruments.  Quantitative modeling or model validation experience.
- PhD
Equal Employment Opportunity is not just the law, it’s our commitment. Read more about the Equal Employment Opportunity Law.
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We are an Equal Opportunity/Affirmative Action Employer. We will consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

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United States, New York, New York City

📁 Legal, Compliance, & Risk