Quantitative Modeling & Risk Consultant

Forvis Mazars, LLP; New York (NY); On-site; USD 69,000 - 102,000; Full time

Job summary

Forvis Mazars, LLP is seeking a quantitative consultant to lead end‑to‑end model validation and governance for complex financial institutions. You will validate models across credit, market and liquidity domains, and communicate findings to risk, finance and technology stakeholders in a client‑facing role.

The role requires hands‑on development, independent validation, and strong analytical problem‑solving skills, with experience in data analysis, programming (R/Python) and SQL.

Qualifications

• Bachelor's degree in a quantitative discipline such as finance, economics, statistics, mathematics, engineering or computer science.
• Proficiency with Microsoft Office suite applications.
• Experience with data analysis, quantitative analysis and data validation.
• Programming in R or Python and SQL database management is preferred.
• CFA/FRM or similar risk credentials and prior consulting or services experience are a plus.

Responsibilities

• Model validation and effective challenge of mathematical and statistical model methods.
• Evaluate data inputs, assumptions, and design choices for adequacy and support.
• Test computational accuracy and perform outcomes analysis including back‑testing and benchmarking.
• Validate a range of analytical models including CECL, ALM/IRR, stress testing and risk models.
• Document testing results and recommendations for model owners and executives.
• Prioritize workstreams, manage deadlines, and maintain attention to detail.

Skills

Data analysis

Quantitative analysis

Data validation

R

Python

SQL

Education

Bachelor's degree in quantitative field

Tools

Microsoft Office

Job description

Forvis Mazars, LLP is seeking a quantitative consultant to lead end‑to‑end model validation and governance for complex financial institutions. You will validate models across credit, market and liquidity domains, and communicate findings to risk, finance and technology stakeholders in a client‑facing role.

The role requires hands‑on development, independent validation, and strong analytical problem‑solving skills, with experience in data analysis, programming (R/Python) and SQL.