Senior Quant - Model Risk & ML Validation

Wintrust Financial Corp; Chicago (IL); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Medical Insurance

Dental

Vision

Life insurance

401(k) with company match

Tuition reimbursement

Job summary

Wintrust Financial Corp is seeking a Sr. Quantitative Analyst in Model Risk Management to validate bank-wide models (CECL, Stress Testing, AML, sanctions, risk ratings, fair lending) and contribute to governance. You will design validation plans, run back-testing, and document results for leadership.

The role requires 1–3 years in data science/validation, PhD/Master’s in a quantitative field, and Python experience. On-site in Chicago area; strong growth and risk management exposure.

Qualifications

• 1-3 years of experience related to data science, ML models, validation in credit risk.
• PhD or Master’s in Mathematics, Statistics, Economics, or other quantitative field.
• 1-2 years of experience with Python.

Responsibilities

• Validate bank-wide statistical, econometric, mathematical, and ML models per policy.
• Develop validation approach and benchmark models for risk tiers.
• Prepare validation reports with findings and recommendations.

Skills

Data science

Machine Learning

Model development

Validation

Credit risk

Education

PhD or Master's in mathematics, statistics, economics

Tools

Python

Job description

Wintrust Financial Corp is seeking a Sr. Quantitative Analyst in Model Risk Management to validate bank-wide models (CECL, Stress Testing, AML, sanctions, risk ratings, fair lending) and contribute to governance. You will design validation plans, run back-testing, and document results for leadership.

The role requires 1–3 years in data science/validation, PhD/Master’s in a quantitative field, and Python experience. On-site in Chicago area; strong growth and risk management exposure.