Director Enterprise Model Validation

Job Overview

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.

• 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‑solving abilities, strong leadership, communication, and stakeholder management skills.
• Proficiency with model documentation tools and governance platforms (e.g., Riskonnect, Archer).
• Demonstrate the ability to deal with multiple issues simultaneously and to handle ambiguity and accountability while not always being in direct control of all areas involved.

Voya is committed to pay that is fair and equitable. The annual base salary range is $166,310 to $207,890 USD, with additional incentive opportunities based on performance. Salaries may vary by location, experience, education, licensure, and skill level.

• Health, dental, vision and life insurance plans
• 401(k) savings plan with generous company matching contributions (up to 6%)
• Voya Retirement Plan – employer paid cash balance retirement plan (4%)
• Tuition reimbursement up to $5,250 per year
• Paid time off – including 20 days of paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
• Paid volunteer time – 40 hours per calendar year

Voya Financial is an equal‑opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Voya is committed to the inclusion of all qualified individuals. If reasonable accommodation is needed to participate in the job application or interview process, or to perform essential job functions, please reference resources for applicants with disabilities.