Validation Specialist

Forbes Technical Consulting LLC; Chicago (IL); Híbrido; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Forbes Technical Consulting LLC in Des Plaines, IL, is seeking a qualified professional to lead independent validation and governance of AI, ML, and statistical models across the enterprise, ensuring regulatory standards and internal policy alignment.

You will work with Risk Management to develop validation plans, challenge design and data integrity, and report remediation findings to leadership and regulators as needed.

Formación

• 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.

Responsabilidades

• Independently validate AI, ML, and statistical models for conceptual soundness, data integrity, and performance, using back-testing 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 Risk Management to engage stakeholders, report to senior leadership and regulators, and confirm remediation plans adequately close out findings.

Conocimientos

AI/ML modeling

Model validation

Data analysis

Educación

Bachelor's degree

Master's degree or PhD preferred

Descripción del empleo

Location

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

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