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Sr. Quantitative Analyst – Model Risk Management

Wintrust Financial Corporation
Rosemont, USA
Full-time
Senior · 1–3 years experience
Onsite
Discovered 2 weeks ago
python

Full Job Posting

Qualifications

  • 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.
  • PhD or Master’s in Mathematics, Statistics, Economics, or other quantitative field. 1-2 years of experience with Python.
  • 1-2 years of experience with Python
  • Preferable skillset: some experience with AI models

Benefits

  • Medical Insurance • Dental • Vision • Life insurance • Accidental death and dismemberment • Short-term and long-term Disability Insurance • Parental Leave • Employee Assistance Program (EAP) • Traditional and Roth 401(k) with company match • Flexible Spending Account (FSA) • Employee Stock Purchase Plan at 5% discount • Critical Illness Insurance • Accident Insurance • Transportation and Commuting Benefits • Banking Benefits • Pet Insurance
  • Compensation
  • The estimated salary range for this role is $90,000-$110,000, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate’s qualifications, skills, and experience.
  • #LI-ONSITE
  • From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

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.

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