Model Risk Validator — Quant Analytics (Hybrid, Chicago)

REKRUITD; Illinois; Hybrid; USD 95,000 - 125,000; Full time

Job summary

REKRUITD is partnering with a financial services client to hire a Quantitative Model Risk Analyst for a full-time, permanent role in the Chicagoland area. The position supports independent oversight of models used for business, risk, compliance, and financial decisions, requiring strong quantitative skills and clear communication of risks.

Responsibilities include reviewing models, assessing design and data, performing testing, documenting conclusions, and collaborating with developers and

Qualifications

• 1–3 years of experience in quantitative analysis, model validation, data science, or similar area.
• Exposure to financial services models, particularly credit risk, CECL, liquidity, compliance, BSA/AML, or fair lending.
• Hands-on experience using Python for data analysis, modeling, or quantitative testing.

Responsibilities

• Review quantitative models and analytical methodologies used across banking and risk functions.
• Assess model design, assumptions, underlying data, calculations, implementation, controls, and performance.
• Use independent analysis to challenge model results and determine whether methodologies are appropriate for their intended use.
• Perform quantitative testing and develop comparison approaches to evaluate model accuracy and stability.
• Review models supporting lending and credit risk, financial forecasting, regulatory compliance, financial crime, and valuation.
• Evaluate traditional statistical models as well as newer ML/AI-based approaches.
• Document analyses and clearly communicate conclusions, identified risks and recommended improvements.
• Partner with model developers, business teams, and risk stakeholders to understand methodologies and resolve findings.
• Contribute to the broader model governance program, including reporting and regulatory support.
• Look for ways to make validation and review processes more efficient through improved tools and automation.

Skills

Python

Quantitative analysis

Model validation

Education

Master's or PhD in Mathematics/Statistics/Economics

Job description

REKRUITD is partnering with a financial services client to hire a Quantitative Model Risk Analyst for a full-time, permanent role in the Chicagoland area. The position supports independent oversight of models used for business, risk, compliance, and financial decisions, requiring strong quantitative skills and clear communication of risks.

Responsibilities include reviewing models, assessing design and data, performing testing, documenting conclusions, and collaborating with developers and