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Director, ERM Model Risk Management
TIAA-CREF
Charlotte, NC, United States
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COMPANY OVERVIEW:
As long as there are people who make the world a better place, we’ll keep making a difference for them. Since 1918, it has been TIAA’s mission to serve those who serve others. It is this mission and the values we embrace that make us a different kind of financial services organization.
When you work here at TIAA, you’re not just in it for yourself. You are part of something bigger. A collective mission to make a difference – a collective mission we make our own.
To be difference makers.
For more information about TIAA, visit our website.
POSITION SUMMARY:
This role will perform independent reviews and validations of models covering a wide range of financial instruments with primary focus on actuarial models.
KEY RESPONSIBILITIES AND DUTIES:
• Evaluation of models based on: conceptual soundness of model specification, assessment of model assumptions and limitations including input data and parameters, design and methodology, completeness of testing performed to support the correctness of the implementation, suitability and comprehensiveness of performance metrics and risk measures associated with use of a model
• Design and implementation of tests to measure the potential impact of model limitations, parameter estimation error or deviations from model assumptions
• Performing model benchmarking by using alternative approaches
• Communicating validation results and discussing issues, challenges and methodologies with internal audiences including model owners and senior management
QUALIFICATIONS:
Required:
• Advanced degree in a quantitative discipline (statistics, mathematics, hard sciences or engineering) or FSA designation is required.
• A minimum of 7+ years working experience in quantitative financial modeling or model validation covering one or several of the following areas: stochastic processes; actuarial/ALM; derivatives; structured products; credit and market risk; fixed income; asset allocation is required.
• Programming skills in both general-purpose languages and statistical software is required (such as SAS, MATLAB, C++, etc.).
Preferred:
• Formal actuarial experience is a strong plus.
• Understanding of supervisory guidance on Model Risk Management (SR 11-7) preferred.