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Truist Bank

Runs banking and lending for people and businesses

Quantitative Audit Manager - Quant

Quantitative RiskConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Master’s degree in Mathematics, Statistics, Data Science, Engineering, or Computer Science, or formal post-undergraduate certification focused on Quantitative or Financial Analytics.
  • At least 6 years of technical model experience, which may include work on a model validation team, model development team, or an equivalent technical audit review team.
  • Demonstrated proficiency with one or more financial modeling methodologies, including knowledge of statistical and algorithmic methods applied in financial modeling.
  • 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 ability to present findings and articulate and defend conclusions to senior Audit and/or line-of-business management.
  • Strong proficiency with standard software applications such as Microsoft Office.

Responsibilities

  • Lead execution of technical model validation reviews, including full or targeted-scope validation assessments.
  • Review validations to ensure TAS concurs with conclusions made by Truist’s Model Risk Management team.
  • Assess model methodology, implementation, and fit-for-use status, and review other model components according to expected use and audit-project scope.
  • In coordination with 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 more experienced Model Quantitative Auditors, recommend improvements to model risk management systems and processes; maintain knowledge of organizational operations, policies, and procedures related to model use and management; and provide management feedback on new model systems and processes and changes to existing systems, standards, and procedures.
  • Develop and maintain expertise in complex modeling concepts and knowledge of auditing concepts and risk management practices, and pursue continuing education and possible additional professional certifications as appropriate.
  • Collaborate with audit delivery teams and provide subject-matter expertise on models used by related lines of business.
  • Maintain the knowledge and experience needed to assist audit delivery teams in 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, and mentor junior team members to support achievement of goals and objectives.

Desired Qualifications

  • Ph.D. in Mathematics, Statistics, Data Science, Engineering, Computer Science, or another relevant field.
  • Technical model experience with a large bank.
  • General auditing skills.
  • Broad understanding of finance and accounting concepts and the banking and financial services industry.

About the Company

Truist Bank

Runs banking and lending for people and businesses

Truist Bank runs consumer and commercial banking for households, small businesses, and larger companies across the United States. Its services connect everyday accounts and borrowing with business cash management and wealth planning through the wider Truist group. Customers manage money through branches and digital banking, while businesses use the bank to collect payments, move funds, and finance operations. It earns interest on loans and fees for banking and trust services, with brokerage and investment advice handled by separate affiliates. The Truist brand emerged from the BB&T and SunTrust merger in 2019, and the bank is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
2019

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