Quantitative Consultant: Model Risk & AI Solutions

Forvis Mazars US; Chicago (IL); On-site; USD 64,000 - 93,000; Full time

Job summary

Forvis Mazars US seeks a client-facing Quantitative Consultant to join our Quantitative & AI Solutions team. You will lead end-to-end model lifecycles, including development and independent validation, while ensuring governance and controls in regulated environments, engaging with senior stakeholders across Risk, Finance, and Technology.

You’ll work on models spanning CECL, ALM/IRR, capital and liquidity, and regression, delivering rigorous testing, reporting, and actionable recommendations.

Qualifications

• Bachelor's degree in finance, economics, statistics, mathematics, engineering, or computer science.
• Proficiency with Microsoft Office suite applications.

Responsibilities

• Model validation and effective challenge: Assess the conceptual soundness, applicability, and limitations of mathematical and statistical model methodologies.
• Data and assumptions review: Evaluate data inputs, assumptions, and model design choices to confirm they are appropriate, complete, and well supported.
• Testing and performance analysis: Test computational accuracy and perform outcomes analysis, including back-testing, benchmarking, and sensitivity review as appropriate.
• Model coverage: Validate and challenge a range of analytical models, including CECL, ALM/IRR, capital and liquidity stress testing, scorecard, compliance/regulatory, regression, and economic capital models.
• Reporting and stakeholder communication: Document testing results, conclusions, limitations, and recommendations in clear reports for model owners, executives, and other key stakeholders.
• Project execution: Prioritize multiple workstreams, manage competing deadlines, and maintain strong attention to detail across engagements.
• Analytical rigor: Apply strong analytical, organizational, and problem-solving skills to complex quantitative and model risk management issues.
• Communication: Present technical concepts and findings clearly through effective written and verbal communication.
• Collaboration: Work effectively both independently and as part of a team in client-facing delivery environments.

Skills

Data analysis

Python

R

SQL

Education

Bachelor's degree in a quantitative discipline

Tools

SQL

Excel

Job description

Forvis Mazars US seeks a client-facing Quantitative Consultant to join our Quantitative & AI Solutions team. You will lead end-to-end model lifecycles, including development and independent validation, while ensuring governance and controls in regulated environments, engaging with senior stakeholders across Risk, Finance, and Technology.

You’ll work on models spanning CECL, ALM/IRR, capital and liquidity, and regression, delivering rigorous testing, reporting, and actionable recommendations.