AVP, Financial Modeling

Wintrust; Illinois; Hybrid; USD 98,000 - 137,000; Full time

Job summary

Wintrust Financial Corp. in Rosemont, IL seeks an AVP of Financial Modeling to lead development of quantitative models for credit risk, market risk and regulatory capital.

You will own end-to-end modeling—from requests through validation—and document methodologies with transparency. Collaborate with Capital, Allowance for Credit Loss, Technology and Model Risk Management; present findings to regulators and internal stakeholders; monitor model performance and respond to inquiries as needed in a

Qualifications

• Master's degree in Mathematics, Economics, Data Science, Operations Research, Statistics or related field
• 2 years of experience in model design, development and compliance aspects of quantitative models
• 2 years of statistical programming experience with Python, SQL and VBA
• 2 years of experience with CCAR, DFAST or CECL
• 2 years of experience forecasting customer behavior for financial products
• 2 years of experience with credit risk evaluation and model validation

Responsibilities

• Develop quantitative/econometrics models for credit risk and market risk and regulatory capital requirements
• Ensure end-to-end model development process from requests to documentation
• Provide developmental evidence on statistical assumptions and model changes
• Collaborate with Capital, Allowance for Credit Loss, Technology and Model Risk Management
• Present results clearly and respond to internal and external validators during reviews

Job description

## AVP, Financial ModelingApply: Rosemont, IL: Posted Yesterday: 262075Wintrust 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.”**Job Title:**AVP, Financial Modeling**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. 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.