AVP, Financial Modeling

Wintrust Financial Corp

Chicago (IL)

Hybrid

USD 98,000 - 137,000

Full time

3 days ago
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Job summary

Wintrust Financial Corp. is seeking an AVP, Financial Modeling in Rosemont, IL. This hybrid role requires in-office presence once a week and focuses on building quantitative models for credit and market risk, with rigorous documentation and validation processes.

The successful candidate will hold a master's degree with at least two years of relevant experience in risk modeling, leveraging Python, SQL, and VBA to support CCAR, DFAST, CECL, and related regulatory needs.

Qualifications

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

Responsibilities

  • Develop quantitative/econometrics models for credit risk and market risk.
  • Ensure end-to-end model development: assess requests, discuss with business, prioritize, develop and document.
  • Provide evidence on statistical assumptions and discuss modelling concepts clearly.

Skills

Python
SQL
VBA
Credit risk methodologies
CCAR
DFAST
CECL
Statistical modeling

Education

Master's degree

Tools

Python
SQL
VBA

Job description

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.”

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.

  • 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. Wintrust provides community and commercial banking, specialty finance and wealth management services, delivering the sophisticated solutions of a large bank through a relationship-focused approach built from our community banking roots. Wintrust may collect personal information from you in connection with the application process. Wintrust complies with the California Consumer Privacy Act of 2018, and its policy may be found here.

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