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Senior Consultant, Quantitative Consulting

Forvis
United Statesfull_timeVerifiedPosted 14 Feb 2026

About the role

General information

Name Senior Consultant, Quantitative Consulting Posting Title Senior Consultant, Quantitative Solutions Ref # 2236171 Date Published Wednesday, December 10, 2025 City Charlotte State North Carolina Country United States Job Category Risk Advisory Advertised Location US-NY-New York Working time Full Time

Description & Requirements


We are looking for team members to join our global, inclusive community of passionate risk advisors. These diverse professionals should be highly skilled, entrepreneurial, and future- focused - they are self-starters with curiosity and a passion for continuous learning. They possess a strong growth mindset that propels themselves and others forward, driving innovation through delivery, and helping clients succeed beyond their expectations.

What You Will Do:
  • Assessing the conceptual soundness and applicability of the mathematical/statistical theories
  • Evaluating data inputs and assumptions
  • Testing model computational accuracy and performing outcomes analysis (such as back-testing and benchmarking)
  • Validating and providing an effective challenge on a wide range of models, such as CECL, ALM/IRR, capital and liquidity stress testing, scorecard, compliance/regulatory, pricing/valuation, regression, and economic capital models
  • Documenting conclusions from testing in a report to be shared with model owners, executives, and other key stakeholders


Minimum Qualifications:
  • Bachelor’s degree in finance, economics, mathematics, or other quantitative fields
  • Proficiency in Microsoft Office suite applications
  • 2 years or more of relevant experience

Preferred Qualifications:
  • Experience with data analysis, quantitative analysis, and data validation
  • Competency in programming in languages like R or Python, as well as experience with database management using SQL
  • CFA, FRM, or similar risk management-related credent

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Company

Forvis

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