Job Details

JOB DESCRIPTION

WHY IS THIS A GREAT OPPORTUNITY?

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Overview - Senior Quantitative Risk Analyst 

Provide support model validation initiatives related to quantitative analytic modeling within the client’s Model Validation platform. The client is looking for talented individuals who get excited about data solving business problems, and want to see their recommendations placed into action. This is an opportunity to get in early with one of the fastest growing financial institutions in the United States.

JOB DESCRIPTION

Tasks

1. Work closely within the Risk group to validate accuracy and performance of statistical models and to detect issues requiring further investigation.
2. Validate external vendor models to guarantee accuracy and relevancy.
3. Assist as a key contributor and lead analyst supporting independent model validation of capital planning and stress testing models.
4. Lead the review and care of relevant model and model validation documentation, complete in depth analysis on large data sets, and formulate analysis and reports to support discussions on crucial analytics and model risks.
5. Liaise 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.
6. Provide independent model review and validation services and support across functions at client.

QUALIFICATIONS

Required

1. Five or more years of hands-on modeling experience in stress testing (DFAST, CCAR), capital planning, capital allocation, funding and liquidity.
2. Master's degree or equivalent in Statistics, Mathematics, Economics or related quantitative field is required, and three or more years of work related experience in risk analytics position or in lieu of a Master's degree.
3. Four or more years of statistical analysis and the handling of large volumes of data and analyzing for trends
4. Four or more years’ experience with the application of regulatory requirements for Model Risk.
5. Four or more years of experience using modeling techniques supporting one the following: Capital Planning, Stress Testing (DFAST and/or CCAR), ALLL, Loss Forecasting, etc.
6. Five or more years of work related experience in risk analytics/statistical modeling within the banking or financial industry.
7. Six or more years of work associated experience in a statistical modeling risk analytics position.
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Education:
University - Bachelor's Degree/3-4 Year Degree