AVP, Financial Modeling

Wintrust•Rosemont, IL

5d•Hybrid

About The Position

The AVP, Financial Modeling develops quantitative and econometric models and applications supporting credit risk and market risk assessment and regulatory capital requirements. The role manages the model-development process end to end, from assessing model requests and coordinating with business partners through development, prioritization, and documentation. It also provides evidence supporting statistical assumptions in modeling methodologies. The position works with team members and internal groups—including Capital, Allowance for Credit Losses, Technology, and Model Risk Management—to define model changes and enhancements, automate processes, conduct testing and scenario analysis, perform ongoing reviews, and improve model transparency and analytics capabilities. The AVP presents quantitative results clearly, develops and documents monitoring plans, monitors model performance, and responds to inquiries from internal and external validators and regulators to support model soundness, accuracy, and robustness. This is a hybrid position requiring the employee to work physically in the Rosemont, Illinois office once a week, with some telecommuting flexibility.

Requirements

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

Responsibilities

Develop quantitative and econometric models and applications supporting credit risk and market risk assessment and regulatory capital requirements.
Manage the end-to-end model development process, including assessing model requests, discussing them with the business, prioritizing development, and completing development and documentation.
Provide developmental evidence regarding statistical assumptions of risk in modeling methodologies.
Work with team members to define model enhancements and changes, automate processes, perform testing and scenario analysis, and conduct ongoing review and analysis.
Collaborate with Capital, Allowance for Credit Losses, Technology, and Model Risk Management to provide model transparency and enhance analytics capability.
Present quantitative results clearly and discuss statistical and quantitative concepts coherently.
Develop and document model monitoring plans and monitor statistical model performance.
Respond to scrutiny and inquiries from internal and external validators and regulators to ensure models' conceptual soundness, accuracy, and robustness.