Hiring: Officer, Model and AI System Risk Management Company: Wintrust Financial Corporation Location: Rosemont, IL Job Posted Time: 2026-09-10 11:08:01 Target Skills & Keywords : Machine Learning, Risk Management, Wealth Management About the job Experience: •2-5 Years of experience related to data science, AI systems, machine learning models, model development, and validation experience related to credit risk (Consumer and Commercial), Liquidity, Compliance (BSA/AML, Fair Lending), CECL. •12 years) and Employee Recommended award by the Globe & Mail (past 6 years). •5 Years of experience related to data science, AI systems, machine learning models, model development, and validation experience related to credit risk (Consumer and Commercial), Liquidity, Compliance (BSA/AML, Fair Lending), CECL. Required Skills: •Perform independent and comprehensive validation of bank-wide AI systems/Machine Learning/statistical/econometric/ mathematical and qualitative (expert judgment) models in compliance with SR 26-02/OCC 2026-13, Model Risk Management (MRM) policy, AI policy, and internal procedures. •Develop a model validation testing plan commensurate with the model risk tier and perform quantitative and qualitative tests to assess models for conceptual soundness, implementation accuracy, data integrity, and performance accuracy, including back testing, sensitivity analysis, scenario analysis, benchmarking, and governance. •Provide effective and meaningful challenges during the following processes of model validation: Review of conceptual soundness; Review adequacy of modeling data; Materiality analysis of model assumptions and limitations; Review of model theoretical framework and design; Review of model performance. •Review of Model Documentation to ensure compliance with regulation/policy. Model documentation review should consist, amongst others, the following: Assessing the quality of model documentation; Reviewing documentation of developmental evidence; Review documentation of model governance; Review testing results in the model methodology document. •Design and execute a comprehensive and granular program for the following: Data Validation; Model theoretical framework and design; Assumptions and Limitations testing; Model Conceptual soundness; Back-testing; Model Effectiveness Testing, Sensitivity Analysis; Benchmarking for material portfolios; and developing benchmark Machine Learning models. •Maintain status updates and facilitate resolution/escalations of issues in a timely fashion. •Use MRM Model Validation tool to perform model validation activities. •The analyst in collaboration with the VP of Model Risk Management interfaces with key stakeholders throughout validation process to discuss justification and reasoning behind validation and review findings. Qualifications: •Master’s degree or PhD preferred. Compensation: •$100,000 - $120,000 / year •Competitive pay and discretionary or incentive bonus eligible Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!