at Wintrust Financial Corporation in Rosemont, Illinois, United States
Job Description
Wintrust is a financial holding company with approximately $50 billion assets under management and traded on the NASDAQ:WTFC. Built on the "HAVE IT ALL" model, Wintrust offers sophisticated technology and resources of a large bank while focusing on providing service-based community banking to each and every customer. Wintrust operates fifteen community bank subsidiaries with over 170 banking locations in the greater Chicago and southern Wisconsin market areas. Additionally, Wintrust operates various non-bank business units including commercial and life insurance premium financing, short-term accounts receivable financing, out-sourced administrative services, mortgage origination and purchase, wealth management services and qualified intermediary services for tax-deferred exchanges.
Why join us?
- An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 10 years) and Employee Recommended award by the Globe & Mail (past 6 years)
- Competitive pay and discretionary or incentive bonus eligible
- Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few
- Family-friendly work hours
- With 175+ community bank locations, we offer opportunities to grow and develop in your career
- Promote from within culture
Why join this team?
- We have a culture that encourages an entrepreneurial spirit
- We offer multiple opportunities for development and upward mobility
Location
Rosemont, IL- Hybrid position with some telecommuting flexibility, but requirement to physically be in Rosemont, IL office occasionally/as needed.
What Youll Do
- Present quantitative results clearly and concisely and display a capability to discuss statistical and quantitative concepts coherently. 10%
- Develop and document model monitoring plan, monitor statistical model performance. 10%
- Perform various ad hoc reporting and analysis for senior management. 10%
- Develop Python predictive models for the purposes of risk ratings, CECL, and capital stress testing. This includes but not limited to writing of Python code, the training / fitting of the model parameters, and working with model validation team. 25%
- Assist in data collection, extraction, scrubbing, validity and sanity checks, transformation, and validation. 25%
- Responsible for full documentation of the model development process, testing performed, any and all modeling assumptions, limitations, and relevant control and governance processes surrounding the model. 10%
- Ensure that the model development process is followed end-to-end and completion of development and documentation. 10%
Requirements
- Masters degree in Mathematics, Quantitative Finance, Economics, or related field with background in statistics is a prerequisite and 1 year of relevant experience in model design.
- 1 year of experience with SAS, Python, and SOL.
- 1 year of experience with credit risk management methodologies and techniques.
- 1 year of experience using mathematical modeling to solve business problems in predicting customer's credit defaults, losses for commercial or retail financial products such as C&I, CRE, retails, and CRE Construction.
- 1 year of experience with credit risk evaluation, including qualitative and quantitative approaches, linear/logistic regressions, Xgboost, machine learning, statistical sampling, predictive modeling,...
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
