Senior Quantitative Consultant - Model Risk & AI

Forvis Mazars US; Greensboro (NC); On-site; USD 78,000 - 122,000; Full time

Job summary

Forvis Mazars, LLP seeks a dynamic Quantitative Senior Consultant to join its Quantitative & AI Solutions team. You will lead end-to-end model lifecycles, from development to independent validation, while strengthening model risk management in regulated environments.

You will work with large financial institutions and senior stakeholders across Risk, Finance, Treasury, Compliance, and Technology to enhance validation, governance, and operations in line with SR 11-7.

Qualifications

• Bachelor’s degree in a quantitative discipline (finance, economics, statistics, mathematics, engineering, CS).
• Proficiency with Microsoft Office suite applications.
• Two or more years of relevant professional experience.

Responsibilities

• Model validation and effective challenge: assess conceptual soundness and limitations of model methodologies.
• Data and assumptions review: evaluate inputs and design choices for completeness and support.
• Testing and performance analysis: assess computational accuracy and outcomes, back-testing and benchmarking where appropriate.
• Model coverage: validate models across credit risk, market risk, liquidity/treasury, and regulatory/compliance domains.
• Reporting and stakeholder communication: document results and limitations for owners and executives.
• Project execution: manage multiple workstreams and deadlines with attention to detail.

Skills

Model validation

Data analysis

Python

R

SQL

Consulting

Model risk management

Education

Bachelor's degree in quantitative field

Tools

Microsoft Office

Job description

Forvis Mazars, LLP seeks a dynamic Quantitative Senior Consultant to join its Quantitative & AI Solutions team. You will lead end-to-end model lifecycles, from development to independent validation, while strengthening model risk management in regulated environments.

You will work with large financial institutions and senior stakeholders across Risk, Finance, Treasury, Compliance, and Technology to enhance validation, governance, and operations in line with SR 11-7.