Model Validation Manager - Raleigh, NC

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Date :
Location :
Raleigh, NC US
Job ID :
Functional Area :
Risk Management
Employment Type :
Full-Time Exempt
Education :
Masters Degree
Experience :
5 years
Days and Hours :
M-F 8-5pm
Physical Address :
4300 Six Forks Road
Department Name :
Model Risk Managment
Position Description :
The Model Validation Manager (MVM) will be responsible for the day-to-day management and execution of validation activities associated with models that are assigned by the Senior Model Risk Manager. These duties will involve leading a team of quantitative analysts to assess the conceptual soundness of models, identify their limitations and opine on their suitability for use.  The work-streams associated with validation activities will encompass questions placed to model owners, independent testing, assessment of model design, the registration of any model findings, and other activities up to and including the writing of the final validation report.
The MVM will be expected to provide hands-on support to validation activities as necessary, as well as to determine the scope and necessary testing of validations, maintain validation scripts and work-papers, manage the interaction with model owners during the course of validation, and oversee the editing and content placed in validation reports.
The MVM will be expected, as well, to coordinate, as necessary, with colleagues in Model Risk Management to support the disposition and remediation of findings, model inventory updates, stakeholder reporting, and engagement with Internal Audit and Examiners.Basic Qualifications:
A graduate degree (M.A., M.S., or doctorate) in Economics, Quantitative Finance, Statistics, or a related quantitative discipline (like Operations Research or Applied Mathematics) and two years of experience as a quantitative analyst (or manager of analysts) in a financial institution.
A graduate degree (as in M.B.A) combined with an undergraduate degree in Finance, Economics or other quantitative discipline and five years of experience as a quantitative analyst in a financial institution.

Other Preferred Qualifications:
Experience with regression methodologies, loss forecasting or regulatory capital estimation
Familiarity with relational databases and SQL
Knowledge of SAS, R or other programming language.

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