VP, Model Risk & AI Validation

Wintrust Financial Corporation; Northern (KY); Hybrid; USD 135,000 - 165,000; Full time

Benefits offered by this job

Medical Insurance

Dental

Vision

Life Insurance

Disability Insurance

Parental Leave

401(k) with company match

FSA

Stock Purchase Plan

Critical Illness Insurance

Accident Insurance

Transit benefits

Banking Benefits

Pet Insurance Compensation

Job summary

Wintrust Financial Corporation is seeking a highly experienced Model Risk Vice President to lead validation efforts for bank-wide AI and traditional models. The role focuses on supervising a team, evolving validation practices, and ensuring regulatory compliance across the model inventory.

The ideal candidate has 10-15 years in model development or risk, strong Python skills, and advanced degrees in a quantitative field.

Qualifications

• 10-15 years of progressive experience in model development or model risk management within midsize or large US financial institutions.
• Deep knowledge of traditional statistical modeling methods (OLS, logistic regression, survival modeling, etc.).
• Familiarity with performance evaluation metrics and techniques for LLMs.
• Strong programming skills in Python and experience with ML frameworks.

Responsibilities

• Perform validations of all types of models used in Wintrust.
• Conduct model validation work directly when required, including programming in Python.
• Lead a comprehensive model validation framework and process for all models in the inventory system, including AI models.
• Deliver management reports on model risk and support regulatory examinations.

Skills

Model risk management

Statistical modeling

Python programming

AI/ML concepts

Analytical communication

Education

PhD or Master’s in Mathematics, Statistics, Economics, Engineering, or related field

Tools

Python

TensorFlow/PyTorch

Job description

Wintrust Financial Corporation is seeking a highly experienced Model Risk Vice President to lead validation efforts for bank-wide AI and traditional models. The role focuses on supervising a team, evolving validation practices, and ensuring regulatory compliance across the model inventory.

The ideal candidate has 10-15 years in model development or risk, strong Python skills, and advanced degrees in a quantitative field.