Senior Manager - Model Risk Management

WHO WE ARE

Elliott Davis pairs forward-thinking tax, assurance and consulting services with industry-leading workplace culture. Our nine offices — located in the fastest growing cities in the US — are built on a foundation of inclusivity, collaboration, and collective growth. We work daily to provide exceptional service to our people, customers, and our communities. Audit and assurance services are provided by Elliott Davis, LLC (doing business in NC and D.C. as Elliott Davis, PLLC), a licensed CPA firm.

We are seeking a Senior Manager – Model Risk Management to join our Financial Services Group (FSG). Our FSG team is over 120 professionals strong and serves more than 500 financial institutions across the United States. This role is ideal for an experienced model risk professional who brings strong technical depth, proven leadership capabilities, and a desire to guide clients and internal teams in delivering high‑quality, high‑impact model risk solutions. The Senior Manager will serve as a subject-matter expert across a wide range of financial modeling disciplines, lead complex engagements, manage teams of professionals, and contribute meaningfully to the continued growth of the Model Risk Management practice.

Responsibilities

As a Senior Manager, you will lead advanced model risk engagements, oversee staff development, and ensure exceptional service delivery. Responsibilities include:

Technical & Engagement Leadership

• Lead and manage model validations, internal audits, and consulting engagements related to:
  • Current Expected Credit Losses (CECL)
  • Asset Liability Management (ALM)
  • Interest Rate Risk (IRR)
  • Liquidity Risk
  • Budgeting and forecasting models
  • Risk‑Adjusted Return on Capital (RAROC)

• Serve as a senior technical authority on financial institution modeling approaches, risk frameworks, quantitative methods, and regulatory expectations.
• Oversee detailed evaluation of model theory, assumptions, data, methodology, controls, cash flow logic, calibration, implementation, and performance monitoring.
• Review and approve high‑quality written reports summarizing findings, recommendations, and model improvement strategies.

Team Leadership & Development

• Lead, coach, and mentor team members across multiple simultaneous engagements.
• Oversee staff development, provide performance feedback, and support ongoing technical training initiatives.
• Allocate resources, set engagement timelines, and ensure successful completion of project milestones.

Client Advisory & Relationship Management

• Serve as a trusted advisor to financial institution executives and risk leaders.
• Communicate engagement progress, technical findings, and strategic recommendations clearly and confidently.
• Assist clients in enhancing model governance practices, strengthening model risk frameworks, and implementing regulatory expectations.

Practice Growth & Operational Excellence

• Participate in and help drive business development initiatives, including opportunity identification, proposal development, and client presentations.
• Contribute to internal methodology enhancements, knowledge‑sharing, and development of best‑practice tools.
• Lead external presentations related to subject matter expertise, on occasion.
• Help shape the long‑term strategy of the Model Risk Management practice.

Required Qualifications:

• Bachelor’s degree in business, accounting, economics, finance, mathematics, statistics, data science, or related analytical field.
• 7+ years of recent experience in Model Risk Management, financial institution modeling, quantitative risk analysis, or related analytical fields.
• Demonstrated technical expertise in CECL, ALM, IRR, Liquidity, Budgeting, and/or RAROC modeling.
• Strong understanding of financial institution balance sheets, earnings drivers, credit risk, interest rate risk, liquidity frameworks, and regulatory guidance.
• Proven experience leading, training, and developing teams of professionals.
• Exceptional written and verbal communication skills and the ability to explain complex topics to both technical and non‑technical audiences.
• Strong analytical, problem‑solving, and critical‑thinking s