Quant Audit Manager

Quantitative Audit Manager

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 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: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 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 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 Qualifications:

• 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