SECU
Model Risk Analyst
Raleigh - Salisbury St
Sponsorship not specifiedDetected 30 days ago
Machine LearningData ScienceLLMsStatisticsLoad TestingSASCommunication
About the role
- Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.
Responsibilities
- (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
- (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
- Ability to assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
- Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
- Perform job functions independently with some day-to-day oversight from supervisor.
- Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
Skills
- Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field)
- 3+ years of experience in modeling or analytics
- Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
- Masters in quantitative discipline
- Experience in financial services or consulting industry
- Subject matter expertise in generative large language models (Artificial Intelligence)
Benefits
- Required Education & Experience (Knowledge, Skills, & Abilities):
- Preferred Education & Experience (Knowledge, Skills, & Abilities):
This listing is sourced directly from SECU's careers page and normalized into a canonical job model.