Director Enterprise Model Validation
Listed on 2026-01-14
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Finance & Banking
Risk Manager/Analyst, Financial Compliance
Director Enterprise Model Validation
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At Voya Financial, we are committed to fighting for everyone’s opportunity for a better financial future. We believe that every individual and community deserves access to financial opportunities, and we are determined to support them in reaching a better financial future.
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’s fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long‑term incentives) based on the role to reward the achievement of annual performance objectives.
Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting. Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work…
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