Senior Actuary, Life Modeling & Modernization

About the role

This position is available to Virginia residents as Richmond, Virginia in-office applicants. A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. This position is available to remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin.

Responsibilities

• Drive and contribute to key Modeling & Modernization initiatives, including the UL Conversion program and broader Life modeling efforts, helping design, build, test, and deploy AXIS models for valuation and projection use cases.
• Integrate and align modeling processes across UL and TRAD platforms, advancing a more unified Life modeling ecosystem within AXIS.
• Partner with Valuation, Projections, Administration, and IT teams to design and implement efficient, scalable end-to-end modeling processes, including upstream data flows, model execution, and downstream reporting and analytics.
• Identify and implement opportunities to streamline and enhance the modeling and production lifecycle through automation, improved tooling, and emerging AI-enabled capabilities.
• Provide subject matter expertise on Life products and modeling approaches, supporting cross-functional initiatives and solving complex modeling and business problems.
• Support and influence assumption development, implementation, and testing in collaboration with the assumptions team.
• Lead and support project workstreams by defining approach, managing execution, and ensuring high-quality deliverables across initiatives.
• Develop and maintain clear, well-structured model documentation to improve transparency, usability, and governance.
• Serve as a senior team member by providing guidance, mentorship, and technical leadership to junior staff and project team members.

Requirements

• BA/BS Degree in Mathematics, Statistics, Actuarial Science, Finance, Engineering, or a related field with strong quantitative and analytical coursework.
• FSA or ASA with commensurate experience (i.e., 7+ years of relevant experience in the actuarial or insurance industry).
• 8+ years of life insurance experience across Universal Life (UL) and/or Traditional Life (TRAD) products.
• Strong expertise in actuarial modeling platforms, with deep experience in AXIS and familiarity with systems such as Integrate/MG-ALFA and PolySystems.
• Strong technical and analytical skills, with demonstrated ability or interest in leveraging automation, data tools, and emerging AI capabilities to improve modeling processes and production efficiency.
• Ability to take a broader, end-to-end view of the modeling lifecycle, including connections between data, models, processes, and business applications.
• Inquisitive mindset with a willingness to challenge assumptions and deeply understand model design and behavior.
• Strong problem-solving skills and ability to analyze complex modeling and business issues.
• Proven ability to manage multiple priorities and deliver high-quality work under tight deadlines.
• Strong communication skills (verbal and written), with the ability to clearly explain complex concepts to both technical and non-technical stakeholders.
• Experience with programming and data tools (e.g., SQL, Excel, Python or similar technologies) and ability to apply them in a modeling environment.
• Knowledge of key actuarial processes, including valuation, projections, and experience analysis.
• Results-oriented mindset with strong ownership, accountability, and follow-through on commitments.
• Demonstrated ability to collaborate effectively across teams, lead technical workstreams, and influence decisions across cross-functional teams.

Qualifications

• BA/BS Degree in Mathematics, Statistics, Actuarial Science, Finance, Engineering, or a related field with strong quantitative and analytical coursework.
• FSA or ASA with commensurate experience (i.e., 7+ years of relevant experience in the actuarial or insurance industry).
• 8+ years of life insurance experience across Universal Life (UL) and/or Traditional Life (TRAD) products.
• Strong expertise in actuarial modeling platforms, with deep experience in AXIS and familiarity with systems such as Integrate/MG-FA and PolySystems.
• Strong technical and analytical skills, with demonstrated ability or interest in leveraging automation, data tools, and emerging AI capabilities to improve modeling processes and production efficiency.
• Ability to take a broader, end-to-end view of the modeling lifecycle, including connections between data, models, processes, and business applications.
• Inquisitive mindset with a willingness to challenge assumptions and deeply understand model design and behavior.
• Strong problem-solving skills and ability to analyze complex modeling and business issues.
• Proven ability to manage multiple priorities and deliver high-quality work under tight deadlines.
• Strong communication skills (verbal and written), with the ability to clearly explain complex concepts to both technical and non-technical stakeholders.
• Experience with programming and data tools (e.g., SQL, Excel, Python or similar technologies) and ability to apply them in a modeling environment.
• Knowledge of key actuarial processes, including valuation, projections, and experience analysis.
• Results-oriented mindset with strong ownership, accountability, and follow-through on commitments.
• Demonstrated ability to collaborate effectively across teams, lead technical workstreams, and influence decisions across cross-functional teams.

Skills

• Programming and data tools (e.g., SQL, Excel, Python or similar technologies).
• Actuarial modeling platforms, with deep experience in AXIS and familiarity with systems such as Integrate/MG-FA and PolySystems.
• Automation, data tools, and emerging AI capabilities.
• Key actuarial processes, including valuation, projections, and experience analysis.

Benefits

Genworth offers a comprehensive benefits package including competitive compensation, total rewards, and employee well-being programs. This includes:

• Competitive Compensation & Total Rewards
• 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

Pay

National Range: $137,000 - $212,000 High-Cost Range (includes New York): $171,500 - $266,000

Schedule

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.