Validation Specialist

AI/ML Model Validation Specialist Location: Des Plaines; HYBRID (3 days onsite) Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. Overview This role leads independent validation and governance of models across the enterprise — spanning AI systems, machine learning, and traditional statistical models — ensuring they meet regulatory standards and internal policy. Coverage areas include credit risk, CECL, stress testing, AML, fair lending, customer risk ratings, and valuation models. Responsibilities Independently validate AI, machine learning, and statistical models for conceptual soundness, data integrity, and performance, using techniques like back-testing, sensitivity analysis, and benchmarking Provide critical challenge and review at each stage of validation — from model design and assumptions to documentation and results Build risk-tiered validation testing plans and execute structured programs across data quality, model theory, and effectiveness testing Track and drive resolution of validation findings and escalations Partner with senior member of Risk Management to engage stakeholders, report to senior leadership xmvmafu and regulators, and confirm remediation plans adequately close out findings Requirements 2–5 years of experience in data science, AI/ML modeling, or model validation Experience related to credit risk, liquidity, compliance (BSA/AML, fair lending), or CECL BS Degree required; Master's or PhD preferred