Senior Quantitative Risk Executive - San Antonio, Texas United States - 19882

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Job #: 19882
Title: Senior Quantitative Risk Executive
Job Location: San Antonio, Texas - United States
Employment Type:
Salary: $160,000.00 - $225,000.00 - US Dollars - Yearly
Other Compensation: Traditional Bank
Employer Will Recruit From: Nationwide
Relocation Paid?: Yes


Senior Quantitative Risk Executive - Overview

The client is looking for talented individuals who get excited about data solving business problems, and want to see their recommendations placed into action.Will provide direction in relation to model develop initiatives related to quantitative analytic modeling within the client’s Model Development platform.



Senior Quantitative Risk Executive


  1. Assist as a key contributor supporting independent model creation of capital planning and stress testing models.
  2. Lead the complete and in depth analysis on large data sets, and formulate analysis and reports to support discussions on crucial analytics and model risks.
  3. Partner with the business teams to discover and highlight model risk associated with models and keep pace with the newest developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to stakeholders.
  4. Provide independent model review services and support across functions at client.
  5. Work closely with validation regarding accuracy and performance of statistical models and to detect issues requiring further investigation.
  6. Monitor external vendor models to guarantee accuracy and relevancy.



  1. 8 (eight) or more years of hands-on modeling experience in stress testing, capital planning, capital allocation, funding and liquidity.
  2. Master's degree or equivalent in Statistics, Mathematics, Economics or related quantitative field is required
  3. 6 (six) or more years of work associated experience
    1. In a statistical modeling risk analytics position.
    2. Statistical analysis and the handling of large volumes of data and analyzing for trends
    3. Experience with the application of regulatory requirements for Model Risk.
    4. Experience using modeling techniques supporting one the following: Capital Planning, Stress Testing, ALLL, Loss Forecasting, etc.
    5. Work related experience in risk analytics/statistical modeling within the banking or financial industry.

University - Master's Degree