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Enact Mortgage Insurance

Provides mortgage insurance for lenders

Senior Technology & Model Risk Manager

Risk ManagementConfirmed live in the last 24 hours
Full-timeRaleigh, NC, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in business, technology, or a related field, with coursework or experience in analytics, data science, or quantitative methods.
  • At least 8 years of experience in one or more of model risk management, model validation, quantitative analytics, data science, artificial intelligence/machine learning, or other technology- or risk-related disciplines.
  • Strong business acumen, analytical and critical-thinking skills, and the ability to identify emerging risks, develop meaningful insights, influence decision-making, and communicate with executive audiences.
  • A strong risk, governance, and control mindset, with the ability to apply these principles to complex business, technology, data, or operational activities while balancing oversight with practical business outcomes.
  • Experience operating independently in evolving environments, navigating ambiguity, and applying sound judgment to emerging risks and complex business challenges.
  • Excellent written and verbal communication skills, with the ability to influence and collaborate with stakeholders and translate complex concepts into clear, actionable insights for diverse audiences, including senior leadership.
  • The ability to provide credible independent challenge, assess complex risks, and influence risk-informed decision-making across business and technology functions.

Responsibilities

  • Lead the Model Governance Program by owning the Model Risk Management Framework, model inventory, governance processes, and Model Governance Committee.
  • Perform, coordinate, or oversee independent model validation activities, using quantitative, statistical, and analytical techniques to evaluate model design, assumptions, limitations, performance monitoring, conceptual soundness, and outcomes.
  • Provide independent risk oversight and effective challenge throughout the model lifecycle, and drive ongoing enhancement of model governance practices and program maturity.
  • Partner with enterprise stakeholders to support the evolution of the AI Governance Framework, providing risk advisory support and effective challenge related to AI use cases, governance processes, risk assessments, monitoring activities, and emerging regulatory expectations.
  • Assess and monitor AI-related risks and promote the responsible adoption and use of artificial intelligence technologies.
  • Develop reporting, metrics, and risk insights to enable management and governance committees to oversee model and AI-related risks across the enterprise.
  • Monitor emerging model, AI, and technology-related risks, industry practices, and regulatory expectations to keep governance frameworks effective, scalable, and fit for purpose.
  • Advise stakeholders and provide education on model, AI, and technology-related risks, governance expectations, and industry practices; help teams understand risks, evaluate alternatives, and implement practical solutions.
  • Partner with business, technology, product, and project leaders to provide risk oversight, advisory support, and effective challenge for strategic, technology, operational, and transformation initiatives.
  • Analyze risks, control effectiveness, and implementation approaches; help stakeholders understand risks, evaluate alternatives, and develop pragmatic solutions that support business objectives and appropriate governance and risk management.
  • Evaluate governance effectiveness, implementation readiness, decision-making processes, cross-functional dependencies, and emerging risks to ensure material risks are identified, understood, and managed throughout initiative lifecycles.
  • Synthesize information across model risk, AI, technology, operational resilience, third-party risk, data governance, and enterprise initiatives to identify emerging risks, interdependencies, and systemic themes.
  • Develop risk insights, recommendations, and governance perspectives that support proactive risk management, informed decision-making, and effective enterprise oversight.
  • Translate complex technical and risk-related concepts into clear, actionable insights through executive reporting, dashboards, governance materials, and presentations tailored to diverse audiences.

Desired Qualifications

  • Experience supporting governance, risk management, or oversight of AI, machine learning, advanced analytics, or other technology-enabled business capabilities.
  • Experience building, implementing, or maturing governance programs, frameworks, or enterprise oversight practices.
  • Relevant professional certifications (such as FRM, PRM, CFA, CISA, or CRISC), an advanced degree, or ongoing specialized training in AI and emerging technologies.

About the Company

Enact Mortgage Insurance

Provides mortgage insurance for lenders

Enact Mortgage Insurance provides mortgage insurance through its subsidiaries, Enact Mortgage Insurance Corporation and Enact Mortgage Insurance Corporation of North Carolina, to help lenders approve more home loans and keep borrowers in their homes. Its product works by offering insurance coverage on mortgage loans, typically enabling lenders to offer loans with lower down payments or better terms while transferring default risk to the insurer. Enact differentiates itself through its deep expertise, insightful offerings, and dedicated service that aims to support lenders and borrowers, including a regional presence via its North Carolina affiliate. The company’s goal is to help lenders put more people in homes and maintain home ownership for as long as possible.

Company size
201-500
Company stage
IPO
Headquarters
Raleigh, NC
Founded
1981

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