Senior Director, Model Risk Management

Equifax-posted 13 days ago

Full-time • Director

Alpharetta, GA

5,001-10,000 employees

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Equifax is seeking a leader to join our Data and Analytics Center of Excellence as the Senior Director, Model Risk Management. This is a critical 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.

Perform and lead independent, hands-on model validations, including deep-dive analysis of model design, performance, and implementation.
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.
Conduct deep-dive research on emerging analytical techniques, with a particular focus on validating models using generative AI and agentic AI.
Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles.
Lead, manage, and mentor a high-performing team of model validators, ensuring their professional growth and development.
Oversee the execution of multiple complex validation projects simultaneously, from test design to final delivery and communication.
Foster a culture of critical thinking, continuous improvement, and effective risk management within the team.
Collaborate and coordinate with global partners, providing guidance and supervision on validation projects conducted by non-direct reports.
Serve as a trusted advisor to model developers and business owners on model design, development, and risk mitigation strategies.
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.

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.
Model Risk Management experience in banking or financial industry.
Proven ability to quickly grasp complex concepts and identify potential model issues or validation gaps.
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.
Exceptional critical thinking, problem-solving, and analytical skills.
Programming experience with Python, R, and/or Scala.

Prior experience with credit risk model development and/or validation is highly preferred.
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 either advanced forecasting analytics (e.g., logistic regression, time series modeling, ML classification models)) or adv anced machine learning techniques including generative AI and agentic AI.
Extensive experience with Big Data environments and advanced computational processes.
Demonstrated experience with model risk management and/or compliance is highly preferred.
Proficiency with programming languages such as SAS, SQL, R, Python, Scala, and Spark.
Hands-on experience with UNIX/LINUX and Google cloud environments.

comprehensive compensation and healthcare packages
401k matching
paid time off
organizational growth potential through our online learning platform with guided career tracks

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