AVP, Financial Modeling

About the role

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."

About the role

Location

Job location -Rosemont, IL- Hybrid position with some telecommuting flexibility, but requirement to physically be in the Rosemont, IL office once a week.

Responsibilities

• Responsible for the development of quantitative/econometrics models and applications in support of credit risk and market risk assessment and regulatory capital requirements.
• Ensure that the model development process is followed end-to-end from assessing requests for models, discussions with the business, prioritization for development, and completion of development and documentation.
• Provide developmental evidence on statistical assumptions of risk in modeling methodology.
• Work with team members on defining model enhancements/changes, process automation, performing testing and scenarios analysis, and conduct ongoing review and analysis.
• Collaborate with various internal groups including Capital, Allowance for Credit losses, Technology and Model Risk Management to provide model transparency and enhancing analytics capability.
• Present quantitative results clearly and concisely and display a capability to discuss statistical and quantitative concepts coherently.
• Develop and document model monitoring plan, monitor statistical model performance.
• Respond to model scrutiny and inquiries from both internal and external validators as well as regulators to ensure conceptual soundness, model accuracy, and robustness of the models.

Requirements

Master's degree in Mathematics, Economics, Data Science, Operations Research, Statistics or related field plus 2 years of experience in a related occupation.

The position also requires

• 2 years of experience in model design, development, documentation and compliance aspect of quantitative models.
• 2 years of statistical programming experience with Python, SQL and VBA.
• 2 years of comprehensive business and technical knowledge of credit risk management methodologies and techniques.
• 2 years of experience with Comprehensive Capital Analysis & Review ("CCAR"), Dodd-Frank Act Stress Testing ("DFAST"), or Current Expected Credit Loss ("CECL").
• 2 years of experience using mathematical modeling to solve business problems in forecasting customer's saving, lending, investing and borrowing behaviors, for consumer and commercial financial products such as mortgages and commercial loans.
• 2 years of experience with credit risk evaluation, including qualitative and quantitative approaches, linear/logistic regressions, predictive modeling, time series analysis, back-testing, in sample and out-of-sample forecasting.
• 2 years of experience with regulatory model compliance including stress testing and model validation.

Compensation

The estimated salary range for this role is $97,739.00 - $136,500.00 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.