← Serch more jobs

Quant Audit Manager

LinkedIn Truist Richmond, VA
Not Applicable Posted April 3, 2026 2 variants Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • 6+ years of technical model experience, which could include working on a model validation team, model development team or Audit equivalent technical review team.
  • Demonstrated proficiency with one or more financial modeling methodologies.
  • This includes knowledge of statistical and algorithmic methods applied in financial modeling.
  • The ability to work independently without supervision.
  • Strong knowledge of programming languages such as R, Python, or C++.
  • Strong knowledge of one or more database management tools such as SAS and/or SQL.
  • Strong analytical, facilitation, interpersonal and decision-making skills.
  • Strong written, oral, and negotiating skills, including the ability to present findings and articulate and defend conclusions to senior Audit and/or line of business management.
  • Strong proficiency of standard software applications such as MS Office.
Preferred Skills
  • Strong proficiency of standard software applications such as MS Office.
  • Ph.D in Mathematics, Statistics, Data Science, Engineering, Computer Science or other relevant degree
  • Technical model experience with a large bank
  • General auditing skills
  • Broad understanding of finance and accounting concepts and the banking and financial services industry
  • Prior experience with technical model reviews, knowledge of one or more financial modeling methodologies which includes knowledge of statistical and algorithmic methods applied in financial modeling, proficient knowledge of programming languages such as R, Python, or C++, and strong knowledge of database management tools such as SAS and or SQL
Education
  • (Not required) – Master’s in Mathematics, Statistics, Data Science, Engineering, Computer Science or formal post undergraduate certification with a focus on Quantitative or Financial Analytics.
  • (Not required) – Ph.D in Mathematics, Statistics, Data Science, Engineering, Computer Science or other relevant degree