Model Risk Governance Manager

SECU • Raleigh, NC

1d • Hybrid

About The Position

Join our team if you are motivated and believe in the credit union philosophy of "People Helping People." This role involves the development and execution of policies, standards, and internal procedures for all phases of the model and AI life cycle. You will own the model risk management framework, report on model governance, development, validation, and monitoring, and create key risk indicators and management reports for senior stakeholders. The position also requires designing and maintaining AI governance frameworks for responsible AI adoption, ensuring AI capabilities are delivered safely and ethically, and partnering with other risk leaders. You will manage and develop model risk and AI risk governance staff, ensure program compliance with regulatory guidance, and provide training on MRM and AI risk management. The role requires a deep understanding of regulatory guidance and expectations in Model Risk Management (e.g., SR 26-2, SR 15-19) and Artificial Intelligence (e.g. NIST AI Risk Management Framework, ISO 42001). Programming skills in a statistical programming language like SAS, R, or Python are necessary, as is the ability to write and review code. Subject matter expertise in advanced mathematical and statistical modeling techniques, including machine learning, is required. Excellent communication skills are essential, along with experience writing and reviewing technical validation reports and model development documentation. Familiarity with modern AI, including LLMs, generative AI, and agentic AI, is also needed. The ideal candidate will have strong attention to detail, the ability to independently solve complex problems, mentor staff, evaluate model risks, and communicate technical concepts clearly. The role requires performing job functions independently with limited oversight.

Requirements

• Masters in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field).
• 5+ years of experience in modeling or analytics, including experience developing enterprise-wide policies, standards and protocols in model risk, AI, or a related discipline.
• Ability to understand model conceptual design, testing of performance, controls over data flows, and compliance of model results with intended application.
• Deep understanding of regulatory guidance and expectations in Model Risk Management (e.g., SR 26-2, SR 15-19) and Artificial Intelligence (e.g. NIST AI Risk Management Framework, ISO 42001).
• Programming skills in a statistical programming language, such as SAS, R, or Python.
• Ability to independently write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency.
• Subject matter expertise in advanced mathematical and statistical modeling techniques, such as competing risk logistic regression, time series analysis, ordinary least squares, Monte Carlo simulation, and machine learning techniques (e.g. XGBoost).
• Excellent oral and written communication skills.
• Experience writing and reviewing detailed technical validation reports and/or model development documentation.
• Familiarity with modern artificial intelligence (AI), including large language models (LLMs), retrieval augmented generation, generative AI, agentic AI, and the approaches and architecture required to harness and manage the risks of these tools.
• Strong attention to detail and the ability to independently formulate solutions to complex modeling and analytical challenges without existing procedures or precedent.
• Ability to mentor staff through complex analytical challenges and difficult technical conversations with internal and external stakeholders.
• Ability to evaluate model risks, weigh pros and cons of risk mitigation, and communicate very technical concepts in plain language.
• Perform job functions independently with limited day-to-day oversight from supervisor.

Nice To Haves

• Experience managing teams of technical individual contributors and/or external vendors performing technical modeling work
• Experience in financial services or consulting industry
• Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
• Subject matter expertise in generative large language models (Artificial Intelligence)
• FRM or CFA certification

Responsibilities

• Development and execution of policies, standards, and internal procedures for all phases of the model and AI life cycle, including identification, risk assessment, definition of control objectives, ongoing monitoring, and retirement.
• Ownership of the model risk management framework and reporting on model governance, development, validation, and monitoring for the organization. Responsible for creating and ongoing reporting of key risk indicators and management reporting for senior risk management stakeholders, management committees, and board-level committees.
• Design and maintain AI governance frameworks, standards, and research to guide responsible AI adoption. Embed responsible, transparent, and controlled AI practices across the full AI life cycle, from design and development to deployment and monitoring. Ensure that AI capabilities are delivered safely, ethically, and in alignment with regulatory expectations, while enabling speed, scalability, and business value. Partner with technology, privacy, operational, and compliance risk leaders to ensure AI risk practices are well-integrated.
• Manage and develop model risk and AI risk governance staff.
• Ensure overall compliance of the program with regulatory guidance on model risk management and artificial intelligence, staying current with changes in regulatory expectations and leading industry practices.
• Provide training and communication around the expectations of the MRM program and AI risk management to stakeholders across the organization.

Benefits

• Equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager