Validation Specialist
forbes technical consultingOak Park (IL)
About the role
AI/ML Model Validation Specialist
Location: Des Plaines; HYBRID (3 days onsite)
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 and regulators, and confirm remediation plans adequately close out findings
- Requirements2–5 years of experience in data science, AI/ML modeling, or model validation
- Experience related to credit risk, liquidity, compliance (BSA/AML, fair lending), or CECLBS Degree required; Master's or PhD preferred
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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