Director Enterprise Model Validation

Together we fight for everyone’s opportunity for a better financial future.

We will do this together — with customers, partners and colleagues. We will fight for others, not against:
We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work.

Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage –
Apply Now

The Director of Model Validation directly reports to the Head of Corporate Risk within the Voya Enterprise Risk Management organization. This role is responsible for leading the independent validation of all models across the enterprise, including actuarial, asset management, non-financial, and AI/ML models. The Director ensures that model risk is effectively identified, assessed, and mitigated in alignment with regulatory expectations and internal governance standards.

The position plays a critical role in enhancing model transparency, audit readiness, and risk-adjusted decision-making.

The list that follows is not intended to be a comprehensive list; it is intended to provide a representative summary of the major duties and responsibilities. Incumbent(s) may not be required to perform all duties listed, and may be required to perform additional, position-specific tasks. This includes:

• Model Validation Oversight:
  Direct and execute the enterprise-wide model validation program, ensuring all models, including actuarial and asset management tools, are validated according to their risk tier and regulatory requirements.
• AI/ML Model Review:
  Establish and oversee validation protocols for AI/ML models, including annual validation cycles and evolving regulatory guidance.
• Governance & Frameworks:
  Develop and maintain a formalized, risk-based model validation framework, including policies, procedures, and documentation standards.
• Team Leadership:
  Manage a small team of validation analysts including those dedicated to AI/ML and non-AI models.
• Stakeholder Engagement:
  Collaborate with model owners, business units, internal audit, compliance, and IT to ensure timely and effective validations.
• Regulatory Interface:
  Support regulatory exams and ORSA reporting by providing validation evidence, schedules, and governance documentation.
• Platform Integration:
  Oversee the use of centralized validation platforms (e.g., Riskonnect) to streamline workflow, documentation, and audit tracking.
• Build strong relationships and collaborate effectively on cross‑functional teams
• Perform other related duties as assigned

• Bachelor’s degree with actuarial credentials (ASA, FSA, or equivalent designation) or advanced degree (Master’s/PhD) in mathematics, statistics, actuarial science, finance, data science, or a related field.
• 10+ years of experience in model risk management, validation, or quantitative analytics within insurance or financial services; actuarial model validation experience strongly preferred.
• Proficiency with programming languages such as Python, R, statistical modeling software.
• Deep understanding of model governance, regulatory expectations (e.g. NAIC Model Risk Guidance, SR 11‑7), and industry best practices for validation.
• Familiarity with AI/ML model validation and emerging regulatory frameworks.
• Outstanding attention to detail, problem…