Actuary, Model Risk

Genworth

Actuary assessing and managing model risks for Genworth’s insurance, investment, and corporate functions. Leading validations and collaborating on risk management practices across the enterprise.

Posted 6/24/2026full-timeRichmond • Virginia • 🇺🇸 United StatesSeniorLead💰 $115,900 - $220,200 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead independent model validations for actuarial, finance, investment, and data science models
Validate that models are fit for purpose and functioning as expected based on their design, input data, methodology, and output
Provide effective challenge on model rationale, reliability, stability, robustness, and limitations
Identify model issues, confirm their resolution, and document validation findings for both technical and non-technical audiences
Collaborate with model owners, developers, and business leaders to deliver independent, value-added model risk management
Assess the enterprise’s inherent and residual exposure to model risk based on its business processes, and risk management strategies
Contribute thought leadership and insights on modeling, model risk management, model controls, and model governance
Improve the efficiency and efficacy of existing model risk management processes
Share industry knowledge, best practices, and notable validation findings with the Model Risk Team

Requirements

What you’ll need

Bachelor’s Degree in a quantitative discipline
Fellow of Society of Actuaries (FSA) or Associate of the Society of Actuaries (ASA); FSA preferred
7+ years of relevant experience within the Life, Annuity, or LTC insurance industries
3+ years of experience developing actuarial models in an actuarial software platform (Moody’s AXIS or MG-ALFA/Integrate preferred)
Proficiency in SQL or programming languages such as Python, R, or SAS
Familiarity with actuarial valuation, projections, experience study or pricing models
Interest in adopting and building AI tools to improve how we work
Ability to document models, processes, and validation findings for technical and non-technical audiences
Ability to work independently, take ownership of projects, and self-study unfamiliar topics
Nice to have Master’s degree in a quantitative discipline
CERA designation
Familiarity with predictive analytics, statistical techniques, or AI/machine learning models
Experience with using AI tools to improve processes and boost productivity

Benefits

Comp & perks

Competitive Compensation & Total Rewards Incentives
Comprehensive Healthcare Coverage
Multiple 401(k) Savings Plan Options
Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
Disability, Life, and Long Term Care Insurance
Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
Caregiver and Mental Health Support Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

actuarial modelsSQLPythonRSASMoody’s AXISMG-ALFApredictive analyticsstatistical techniquesAI/machine learning models

Soft Skills

independent workownership of projectsself-studyeffective communicationcollaborationthought leadershipproblem-solvingdocumentation

Certifications

Fellow of Society of Actuaries (FSA)Associate of the Society of Actuaries (ASA)CERA designation