Model Risk Analyst

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team! Position Overview 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. Essential Responsibilities

• 40%) Execute model validation activities across the model life‑cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU’s statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
• 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%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
• 10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
• 10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

Required Education & Experience (Knowledge, Skills, & Abilities) 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 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. Advanced programming skills in a statistical programming language, such as SAS, R, or Python. 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. Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc. Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor. Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation. Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff. Perform job functions independently with some day‑to‑day oversight from supervisor. Preferred Education & Experience (Knowledge, Skills, & Abilities) Masters in quantitative discipline Experience in financial services or consulting industry 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 Subject matter expertise in generative large language models (Artificial Intelligence) Job Environment & Physical Requirements Hybrid expectations Sitting for prolonged periods Computer for prolonged periods SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law. Disclaimer State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need. #J-18808-Ljbffr SECU