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Role Summary

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HIGHLIGHTS

Senior life actuarial data role supporting Genworth's Long Term Care Derived Hub and Experience Team, based in Richmond, VA or remote (US Eastern/Central). You will develop and maintain complex datasets for assumption setting, valuation and projections, own data quality controls and partner with actuarial model developers. The role requires strong SQL and programming skills and 5+ years in Life, Annuity, or LTC insurance.

JOB DESCRIPTION SUMMARY

Support LTC assumption setting, valuation, projections and experience studies
Develop and maintain complex policy, claims and customer datasets
Own data quality controls and drive upstream/downstream improvements
Use SQL and Python/R/SAS to analyze large datasets and review code
Remote (Eastern/Central US) or Richmond, VA in-office option

DOMAIN EXPERTISE

Long term care insurance experience
Experience with assumption setting and valuation
Experience supporting projections and financial reporting
Experience developing data controls and governance

KEY REQUIREMENTS

5+ years relevant experience within Life, Annuity, or LTC insurance
Bachelor's degree in an analytical or technical discipline
Proficiency in SQL and Python, R, and/or SAS
Ability to lead projects and influence stakeholders
Eligible to work in the US without sponsorship

TECH STACK

No tech stack specified

Blog Post a Job

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Role Summary

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HIGHLIGHTS

Senior life actuarial data role supporting Genworth's Long Term Care Derived Hub and Experience Team, based in Richmond, VA or remote (US Eastern/Central). You will develop and maintain complex datasets for assumption setting, valuation and projections, own data quality controls and partner with actuarial model developers. The role requires strong SQL and programming skills and 5+ years in Life, Annuity, or LTC insurance.

JOB DESCRIPTION SUMMARY

Support LTC assumption setting, valuation, projections and experience studies
Develop and maintain complex policy, claims and customer datasets
Own data quality controls and drive upstream/downstream improvements
Use SQL and Python/R/SAS to analyze large datasets and review code
Remote (Eastern/Central US) or Richmond, VA in-office option

DOMAIN EXPERTISE

Long term care insurance experience
Experience with assumption setting and valuation
Experience supporting projections and financial reporting
Experience developing data controls and governance

KEY REQUIREMENTS

5+ years relevant experience within Life, Annuity, or LTC insurance
Bachelor's degree in an analytical or technical discipline
Proficiency in SQL and Python, R, and/or SAS
Ability to lead projects and influence stakeholders
Eligible to work in the US without sponsorship

TECH STACK

No tech stack specified

Job Overview

Salary

$116k - $220k

Years of Experience

5+ Years

Work Type

Permanent

Full Time

Ideal Candidate Profile

Ideal for a senior life actuary with 5+ years in long-term care who holds or is pursuing ASA/FSA and is skilled in SQL and Python/R for data governance, valuation, and projection support.

Benefits

Annual BonusHealth InsuranceLife InsuranceShort/Long Term Disability401(k) PlanHigh 401(k) MatchTuition ReimbursementStudy SupportWellness ProgramPaid Parental Leave

Active Screening

Standard Review

5d

5 days ago

Strategy: Apply This Week

Recruiters typically begin first-round screenings within 14 days.

"You are entering the second review batch. Optimize for ATS keywords."

Job Overview

Salary

$116k - $220k

Years of Experience

5+ Years

Work Type

Permanent

Full Time

Ideal Candidate Profile

Ideal for a senior life actuary with 5+ years in long-term care who holds or is pursuing ASA/FSA and is skilled in SQL and Python/R for data governance, valuation, and projection support.

Benefits

Annual BonusHealth InsuranceLife InsuranceShort/Long Term Disability401(k) PlanHigh 401(k) MatchTuition ReimbursementStudy SupportWellness ProgramPaid Parental Leave

Active Screening

Standard Review

5d

5 days ago

Strategy: Apply This Week

Recruiters typically begin first-round screenings within 14 days.

"You are entering the second review batch. Optimize for ATS keywords."

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