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Equifax · 1 day ago

Senior Director, Model Risk Management

Alpharetta, GA

Full-time

Hybrid

Mid, Senior Level

7+ years exp

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.

AnalyticsConsultingDatabase

No H1B

Responsibilities

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

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

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

Qualification

Model Risk ManagementGenerative AIPredictive ModelingStatistical MethodsProgramming LanguagesBig Data EnvironmentsTeam ManagementCritical ThinkingCommunication Skills

Required

Master's degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance

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

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

Extensive experience with Big Data environments and advanced computational processes

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