AI Systems & Model Risk Validation Officer

Wintrust Financial Corp; Chicago (IL); Sur place; USD 100 000 - 120 000; Plein temps

Avantages offerts par ce poste

Medical Insurance

Dental

Vision

Life insurance

Disability Insurance

Parental Leave

401(k) with company match

Flexible Spending Account

Employee Stock Purchase Plan

Résumé du poste

Wintrust Financial Corporation seeks an Officer, Model and AI System Risk Management to validate AI systems, ML and conventional models across bank-wide applications in accordance with SR 26-02/OCC 2026-13. You will lead testing, governance and collaborative remediation efforts with stakeholders to ensure model soundness and regulatory compliance.

The role requires 2-5 years in data science, AI systems, ML model validation, and CECL-related risk, with a Master’s or PhD preferred.

Qualifications

• 2-5 Years of experience related to data science, AI systems, machine learning models, model development, and validation experience related to credit risk (Consumer and Commercial), CECL.

Responsabilités

• Perform independent validation of bank-wide AI systems and machine learning models in compliance with SR 26-02/OCC 2026-13 and MRM policy.
• Develop a validation testing plan and conduct quantitative and qualitative tests for conceptual soundness, data integrity and performance.
• Review model documentation to ensure regulatory and policy compliance.
• Design and execute data validation, model framework testing, assumptions testing, back-testing, sensitivity analysis, and benchmarking.
• Maintain status updates and communicate findings to stakeholders, and support remediation planning and governance.

Connaissances

Data science

AI systems

Machine learning models

Model development

Validation experience

Credit risk (CECL)

Formation

Master’s degree or PhD preferred

Description du poste

Wintrust Financial Corporation seeks an Officer, Model and AI System Risk Management to validate AI systems, ML and conventional models across bank-wide applications in accordance with SR 26-02/OCC 2026-13. You will lead testing, governance and collaborative remediation efforts with stakeholders to ensure model soundness and regulatory compliance.

The role requires 2-5 years in data science, AI systems, ML model validation, and CECL-related risk, with a Master’s or PhD preferred.