Audit Manager – Quant

Jobtailor; North Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

Truist is seeking an experienced professional to lead technical model validation reviews within the Model Risk Management function in North Carolina. You will oversee full- or targeted-scope assessments, evaluate methodologies and model fit-for-use, and maintain cross‑team relationships to ensure governance and strong risk controls.

The role requires 6+ years in model validation or related technical reviews, strong programming (R/Python/C++), and deep knowledge of SAS/SQL, with excellent

Qualifications

• : Master’s degree in Mathematics, Statistics, Data Science, Engineering, Computer Science, or formal post-undergraduate certification focused on Quantitative or Financial Analytics
• : 6+ years of technical model experience, including model validation, model development, or equivalent technical review team experience
• : Proficiency with one or more financial modeling methodologies
• : 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 database management tools such as SAS and/or SQL
• : Strong analytical, facilitation, interpersonal, and decision-making skills
• : Strong written, oral, and negotiating skills, including presenting findings and defending conclusions to senior Audit or business management
• : Strong proficiency with standard software applications such as MS Office
• : English language fluency required

Responsibilities

• Lead technical model validation reviews conducted by the Truist Model Risk Management Technical Review Team
• Perform full- or targeted-scope validation assessments
• Review validations and assess methodology, implementation, and model fit-for-use status
• Review model components according to intended use and audit scope
• Maintain relationships with Model Risk Management, Model Development, and Model Owners across the first and second lines of defense
• Recommend improvements to model risk management systems and processes
• Provide feedback on new and existing model systems, standards, and procedures
• Develop expertise in complex modeling concepts, auditing concepts, and risk management practices
• Collaborate with audit delivery teams and provide model subject-matter expertise
• Assist teams in evaluating adherence to SR 11-7 model risk governance and oversight guidance
• Lead, train, coach, and mentor junior team members

Skills

Technical Model Validation

Financial Modeling Methodologies

R Programming

Python Programming

SAS/SQL

Education

Master’s degree

Post-Undergraduate Certification

Tools

MS Office

SQL

Job description

• Lead technical model validation reviews conducted by the Truist Model Risk Management Technical Review Team
• Perform full- or targeted-scope validation assessments
• Review validations and assess methodology, implementation, and model fit-for-use status
• Review model components according to intended use and audit scope
• Maintain relationships with Model Risk Management, Model Development, and Model Owners across the first and second lines of defense
• Recommend improvements to model risk management systems and processes
• Provide feedback on new and existing model systems, standards, and procedures
• Develop expertise in complex modeling concepts, auditing concepts, and risk management practices
• Collaborate with audit delivery teams and provide model subject-matter expertise
• Assist teams in evaluating adherence to SR 11-7 model risk governance and oversight guidance
• Lead, train, coach, and mentor junior team members

Requirements

• Master’s degree in Mathematics, Statistics, Data Science, Engineering, Computer Science, or formal post-undergraduate certification focused on Quantitative or Financial Analytics
• 6+ years of technical model experience, including model validation, model development, or equivalent technical review team experience
• Proficiency with one or more financial modeling methodologies
• 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 database management tools such as SAS and/or SQL
• Strong analytical, facilitation, interpersonal, and decision-making skills
• Strong written, oral, and negotiating skills, including presenting findings and defending conclusions to senior Audit or business management
• Strong proficiency with standard software applications such as MS Office
• English language fluency required

Core Competencies

Demonstrates expertise in technical model validation, financial modeling methodologies, and risk management practices, with strong analytical and decision-making capabilities. Proficient in programming languages and database management tools, while effectively leading and mentoring teams.

Highest-signal resume keywords

• Technical Model Validation
• Financial Modeling Methodologies
• R Programming
• Python Programming
• SAS Database Management

ATS Optimization Keywords

Hard Skills

• Model Validation
• Model Development
• Statistical Methods
• Algorithmic Methods
• Quantitative Analytics
• Financial Analytics
• Data Science
• Mathematics
• Statistics
• Decision-Making

Soft Skills

• Analytical Skills
• Interpersonal Skills
• Facilitation Skills
• Negotiating Skills
• Communication Skills

Certifications & Qualifications

• Master’s Degree
• Post-Undergraduate Certification

Industry Keywords

• Model Risk Management
• Audit Governance
• SR 11-7 Compliance
• Model Fit-for-Use
• Model Owners

Tools & Technologies

• MS Office
• SQL