Telecommute Quantitative Modeling Jobs in Chicago, IL

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."

Location:

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

Responsibilities:

• Direct and actively participate in all stages of model development from data collection, model building, model validation, testing, calibration, and documentation.

• Lead modelers and analysts in the team on the art and science of modeling, data analysis, documentation, decision trade-offs between model complexity and model deployment.

• Monitor statistical model performance and provide technical advice to business leadership.

• Direct and lead the best practice in model development, coding, and systems. Play thought leadership in the applications of predictive analytics, data science, and other advanced methods such as machine learning and statistical modeling.

• Respond to model scrutiny and inquiries from both internal and external validators as well as regulators to ensure conceptual soundness, model accuracy, and robustness.

• Communicate model results to stakeholders and senior management

• Mentor and nurture team members in cutting edge modeling technology and analytics. Direct and grow team members in all aspects of modeling & analytics as well as career growth.

• Supervise 3 employees (VP, Financial Modeling and AVP, Financial Modeling)

Requirements:

Requires a Ph.D. in Statistics, Math, Finance, Economics, Operations Research, or related field plus 8 years of experience in a related occupation.

The position also requires:

• 4 years of experience leading a team of modelers and communicate model results to stakeholders and senior management.

• 4 years of experience with Model design, development, documentation and compliance aspects of quantitative models.

• 4 years of experience in Programming with at least two of the following: Python, R, SQL.

• 4 years of experience with Comprehensive business and technical knowledge of credit risk management methodologies and techniques.

• 4 years of Experience with regulatory model compliance including stress testing and model validation.

• 2 years of experience with credit scoring, data mining, or predictive modeling.

• Any amount of experience with XGBoost.

Compensation

The estimated salary for this role is $236,775.00, 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.