Actuary, Model Risk

Role Description

As an Actuary and member of the Model Risk Team, you will assess and manage model risk for Genworth's US Life Insurance, CareScout Insurance, CareScout Services businesses, and Genworth’s Investment and Corporate functions. You will lead independent model validations, partner with model owners and business leaders, and help advance best-in-class model risk management practices across the enterprise.

What you will be doing:

• 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.

Qualifications

• 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.

Requirements

• 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

• 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.

Company Description

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

• Make it human: We care about the people that make up our customers, colleagues, and communities.
• Make it about others: We do what's best for our customers and collaborate to drive progress.
• Make it happen: We work with intention toward a common purpose and forge ways forward together.
• Make it better: We create fulfilling purpose-driven careers by learning from the world and each other.