Quantitative Model Risk Specialist – Validation & AI

Rekruitd; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

Rekruitd is seeking a quantitative validation professional to review and challenge models used across banking and risk functions. You will assess design, data, and performance, and communicate risks and improvements clearly.

The role requires 1–3 years in quantitative analysis or validation, with Python experience and exposure to financial services models. Strong communication is essential, and ML/AI exposure is a plus.

Qualifications

• 1–3 years of experience in quantitative analysis or model validation.
• Exposure to financial services models (credit risk, CECL, liquidity, BSA/AML, or fair lending).
• Master's degree or PhD in a quantitative field.
• Hands-on Python for data analysis and testing.
• Strong analytical and written communication skills.
• Exposure to machine learning or AI modeling is a plus.

Responsibilities

• Review quantitative models and analytical methodologies used across banking and risk functions.
• Assess model design, assumptions, data, calculations, implementation, controls, and ongoing performance.
• Use independent analysis to challenge 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, credit risk, regulatory compliance, financial crime, and valuation.
• Evaluate traditional statistical models as well as newer ML/AI approaches.
• Document your analysis and clearly communicate conclusions, 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

Statistics

Quantitative analysis

Data science

Model validation

Communication

Education

Master's degree in Mathematics/Statistics/Economics or related

Tools

R

SQL

Pandas

Job description

Rekruitd is seeking a quantitative validation professional to review and challenge models used across banking and risk functions. You will assess design, data, and performance, and communicate risks and improvements clearly.

The role requires 1–3 years in quantitative analysis or validation, with Python experience and exposure to financial services models. Strong communication is essential, and ML/AI exposure is a plus.