Senior Director, Model Risk Management

Equifax is seeking a seasoned and strategic leader to join our Data and Analytics Center of Excellence as the Senior Director, Model Risk Management. This is a critical leadership role responsible for independently validating and supervising a portfolio of statistical and advanced machine learning models and analytical solutions. This individual will lead a highly talented team of validators and serve as a key consultant on model risk matters across the organization. * Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week. * This role reports to our office in Alpharetta, Georgia OR midtown ATL (OAC). * This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support. * This is a direct-hire role and is not open to C2C or vendors. What you will do Leadership & Management * Lead, manage, and mentor a high-performing team of data scientists and reviewers, providing expert oversight for both Generative AI application review and rigorous model validation projects. * Oversee the execution of multiple complex validation projects simultaneously, from test design to final delivery and communication. * Serve as the primary technical lead for validating GenAI safety. Direct team members in identifying and mitigating complex risks such as model hallucinations, prompt injection, and data leakage. * Foster a culture of critical thinking, continuous improvement, and effective risk management within the team. * Collaborate with global partners to supervise validation projects, ensuring a consistent and technically sound approach to AI/Model Risk Management across non-direct reporting lines Technical Validation & Research * Lead and perform independent, deep-dive validations of complex models, focusing on the end-to-end design, implementation, and performance of Generative AI applications alongside traditional statistical models. * Conduct deep-dive research into emerging analytical techniques and "LLM-as-a-judge" evaluation methods to stay ahead of the curve in validating Agentic AI and other non-deterministic systems. * Develop and execute comprehensive validation test designs to assess model soundness and identify potential risks. * Critically assess the completeness and accuracy of model documentation, code, and marketing materials. * Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles. Governance & Collaboration * Serve as a trusted advisor to model developers, engineers, and business owners, providing expert guidance on model design, development and AI safety-by-design. * Review and provide guidance on model monitoring plans and ongoing performance reports. * Drive the enhancement of Model Risk Management procedures and standards to align with evolving regulatory requirements and industry best practices * Collaborate with key stakeholders across the organization, including marketing, technology, legal, compliance, and business owners, to ensure a robust model risk governance framework. * Respond to and manage inquiries from clients, internal auditors, and regulators regarding model risk matters. What experience you will need * Master's degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance. A PhD is strongly preferred. * 7- 10 years of industry experience in predictive modeling, data science, or a related quantitative field. Prior experience with credit risk model development and/or validation is highly preferred. * A minimum of 3 years of experience managing a highly talented team with 6 or more direct reports is preferred. * Strong knowledge of and hands-on experience with a broad spectrum of modeling techniques, ranging from traditional statistical methods (e.g., Logistic Regression, Time Series, XGBoost) to advanced architecture including Deep Neural Networks. * Generative AI, and Agentic AI frameworks are highly preferred. * Extensive experience with Big Data environments and advanced computational processes. * Demonstrated experience with model risk management and/or compliance is highly preferred. * Proven ability to quickly grasp complex concepts and identify potential model issues or validation gaps. * Proficiency with programming languages such as SAS, SQL, R, Python, Scala, and Spark. * Hands-on experience with UNIX/LINUX and Google cloud environments. What could set you apart * Experience as a Data Scientist in the banking industry. * Exceptional critical thinking, problem-solving, and analytical skills. * Excellent interpersonal, networking, verbal, and written communication skills, with a proven ability to write and edit high-quality technical reports. * Highly detail-oriented, proactive, and efficient. #LI-Hybrid #LI-AM2

Created: 2026-04-02