Sr. Quantitative Analyst – Model Risk Management

Wintrust Financial Corporation•Rosemont, IL

2d•$90,000 - $110,000•Onsite

About The Position

The Sr. Quantitative Analyst in the Model Risk Management team will conduct various activities related to enterprise model risk validation and model governance. This individual is accountable for independently validating the technical and functional soundness for bank-wide models including CECL, Stress Testing, Anti-Money Laundering, Economic Sanctions, Customer Risk Ratings, Fair Lending as well as valuation models. Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol “WTFC.”

Requirements

1-3 years of experience related to data science, machine learning models, model development, and validation experience related to credit risk (Consumer and Commercial), Liquidity, Compliance (BSA/AML, Fair Lending), CECL.
Master’s degree or PhD.
1-2 years of experience with Python

Nice To Haves

some experience with AI models

Responsibilities

Independently validate bank-wide statistical/econometric/ mathematical/AI/Machine Learning and qualitative (expert judgment) models in compliance with SR 26-02/OCC 2026-13 and Model Risk Management (MRM) policy and procedures.
Develop and implement validation approach and benchmark models commensurate with the model risk tier. Perform testing and analysis to assess models for conceptual soundness, implementation accuracy, data integrity, governance and performance, including back testing, sensitivity analysis, scenario analysis, benchmarking.
Prepare and document validation reports, including testing, findings, conclusions, and actionable recommendations for model owners and management in-line with MRM standards.
Maintain status updates and collaborate with model developers and business stakeholders to address identified issues in a timely fashion.
Use MRM Model Validation tool to perform model validation activities.
Manage activities related to model governance and assist VP, model risk management in creating reports for the senior management, executive management, risk committees, and regulatory exams.
Recommend new ways to automate/improve the end-to-end validation process.