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Quant Audit Manager

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: Truist Inc
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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Regular or Temporary:

Regular

Work Shift:

1st shift (United States of America)

Please review the following job description:

The Quantitative Audit Manager (QAM) is responsible for the delivery of complex technical audit assessments related to the identification and mitigation of risk associated with both financial and non‑financial models and other quantitative tools implemented across Truist. The QAM will also proactively coach junior team members by providing candid and constructive feedback and technical insights.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Lead the execution of technical model validation reviews completed by the Truist Model Risk Management Risk Management Technical Review Team. Work will consist of:
    • Performing full or targeted scope validation assessments.
    • Reviewing validations to ensure TAS concurs with the conclusions made by the Model Risk Management Team (MRM) within Truist.
    • Assessing methodology, implementation, and the fit for use status of models.
    • Reviewing various other components of models given the model’s expected use and the scope of the Audit project.
  • In coordination with the more experienced Model Quantitative Auditors, maintain relationships with Model Risk Management, Model Development, and Model Owners throughout the first and second lines of defense.
  • In coordination with the more experienced Model Quantitative Auditors, contribute to improving Truist model risk management by:
    • Recommending improvements to model risk management systems and processes.
    • Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models.
    • Providing feedback to management on the implementation of new model systems and related processes, and changes to existing model systems, standards, and procedures.

Develop and maintain specialization and expertise in complex modeling concepts as well as developing knowledge of auditing concepts and risk management practices, and pursuing continuing education and possible additional professional certifications, as appropriate.

Collaborate with various audit delivery teams and provide subject matter expertise for models used by the related lines of business.

Maintain the requisite knowledge and experience to assist audit delivery teams with evaluating Truist’s adherence to SR 11‑7 regulatory guidance on model risk governance and oversight for various model types.

Provide leadership and train/coach/mentor junior team members to enhance achievement of goals and objectives.

QUALIFICATIONS Required Qualifications

Master’s in Mathematics, Statistics, Data Science, Engineering, Computer Science or formal post‑undergraduate certification with a focus on Quantitative or Financial Analytics.

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…

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