Senior Audit Manager- Quantitative Risk Modeling
Job Summary
We are seeking an Audit Manager for Quantitative Risk Modeling with a strong passion for identifying and mitigating model and business risks. This role serves as a trusted advisor and subject matter expert, collaborating with stakeholders across the bank, including external regulators to review various model types (e.g., Deposit, Capital Stress Testing (i.e., CCAR), Credit Risk (i.e., CECL), Interest Rate Risk, Fraud, Anti-Money Laundering, and Artificial Intelligence and Machine Learning models).
This role will lead a team comprised of both internal and external co-sourced resources and will report to the Treasury and Model Audit Director.
Job Responsibilities
- Model Assurance and Testing: Own and drive effective assurance and quantitative testing for various model suites across the model inventory, including:
- Model validation reviews
- Ongoing performance monitoring reviews
- Model governance reviews
- Finding validations
- Stakeholder Collaboration: Serve as a subject matter expert, partnering with internal audit teams (e.g., credit risk, risk management, consumer and regional banking) to provide model coverage recommendations and deliver opinions on model risk in auditable entities.
- Strategic Support: Support the Treasury and Model Audit Director in refining and executing the model strategy.
- Project Management: Demonstrate strong project management skills to manage multiple projects concurrently, meeting department deadlines while ensuring quality deliverables.
- Team Leadership: Manage multiple teams to achieve departmental and organizational goals through coaching and feedback.
- Communication Skills: Deliver thoughtful and organized messages to senior management and regulators, both in writing and verbally.
- Relationship Development: Develop and maintain strong working relationships with key management members and the Internal Audit department to effectively execute model review responsibilities.
- Analytical Evaluation: Evaluate model review results to identify issues, themes, and trends, developing actionable recommendations for improvement.
- Technical Knowledge: Ensure the team has adequate knowledge in critical areas to execute the assigned model review plan, coaching and mentoring staff throughout the process.
- Dynamic Feedback: Interact directly with management during engagements, providing dynamic feedback to enhance evolving processes.
- Resource Coordination: Utilize knowledge of strategic planning, resource allocation, and coordination of personnel and resources to drive effective audit outcomes.
Basic Qualifications
- Bachelor’s degree in mathematics, statistics, or a related field.
- 7+ years of experience in quantitative modeling, model risk, or model internal audit, with experience as a quantitative risk analyst in the financial services industry.
- Strong understanding of financial predictive modeling fields, including consumer behavioral modeling, time series forecasting, optimization theory, panel data analysis, and decision science, as well as AI and machine learning modeling.
- Detailed knowledge of model governance processes and regulatory requirements for U.S. banks, specifically SR 11-7 Supervisory Guidance on Model Risk Management.
- Clear understanding of methodology and regulatory expectations in executing model-related audit work, issue validation, MRA validation, and responding to regulatory inquiries.
- Excellent proficiency in Microsoft Office suite products (Excel, Outlook, PowerPoint, Word, and Visio) and Adobe Acrobat.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong verbal and written communication skills, with demonstrated ability to articulate findings effectively.
- Ability to work in a collaborative, team-oriented, hybrid work environment.
- Professional certification (e.g., CIA, CPA, CAMS, CFE, CRCM, etc.) or completion of certification within 24 months of hire.
Preferred Qualifications:
- Advanced degree in a quantitative field such as economics, statistics, finance, mathematics, or physics.
- Comprehensive knowledge of deposit models, capital stress testing (CCAR) models, credit risk (CECL) models, and interest rate risk models.
- Advanced skills with one or more analytical tools (e.g., SQL, SAS, R, Python, or MATLAB).
- Strong knowledge of risk frameworks, such as COSO’s Internal Control – Integrated Framework.
Why Join Us?
- If you are driven to optimize business performance through effective risk management, build meaningful relationships, and lead successful teams, we want to hear from you.
Exempt Status: Yes
Workplace Type: Hybrid
Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
#J-18808-Ljbffr
