Actuary, Data Analysis

Genworth • Richmond, VA

1d • Remote

About The Position

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. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. 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. YOUR ROLE As an Actuary and member of the Long Term Care (LTC) Derived Hub and Experience Team, you are responsible for developing and maintaining complex data sets for use in assumption setting, valuation, projections, and other data analysis. This role requires working closely with key cross functional stakeholders, collecting requirements, and producing deliverables in the form of Insights, strategy, reports, or raw datasets that will be used to drive business decisions and processes. This role also plays a key part in ensuring strong data governance through the design, execution, and maintenance of data quality standards and controls that support reliable analytics, financial reporting, and business decision-making. This role partners closely with actuarial model development teams to ensure consistent, well understood use of data across models, analyses, and downstream applications. The Actuary develops data recommendations and strategy, demonstrates thought leadership, manages complex projects, builds relationships, mentors other team members, and collaborates with cross-functional teams.

Requirements

• Bachelor’s Degree in an analytical or technical discipline
• Fellow of Society of Actuaries (FSA) preferred or Associate of the Society of Actuaries (ASA)
• 5+ years of relevant experience within the Life, Annuity, or LTC insurance industries
• Technical experience & skills
• Proficiency in SQL and programming languages such as Python, R, and/or SAS
• Ability to work independently, take ownership of projects, and self-study unfamiliar topics as needed
• Intellectual Curiosity: Desire to find answers providing creative solutions to complex issues
• Critical Thinking: Apply analytical reasoning to leverage quantitative and qualitative data, supporting business strategy and effective execution
• Results Orientation: Demonstrate a strong sense of urgency and accountability, consistently delivering high-quality work within deadlines
• Self-Motivation: Manage multiple and changing priorities independently, maintaining a drive for results in a fast-paced environment
• Communication: Deliver clear and effective customer-focused verbal and written communications to both technical and non-technical audiences
• Teamwork & Collaboration: Build relationships and work collaboratively with cross-functional teams and contribute as a strong team player
• Leadership: Ability to lead cross functional teams and influence outcomes at all levels up to executive

Responsibilities

• Maintain and enhance critical data supporting key business initiatives: including experience studies, assumption setting, financial reporting, strategic objectives, and analysis.
• Own and support data-related controls, including documentation, monitoring, issue investigation, and remediation, in partnership with IT, process improvement specialist, actuarial, and governance stakeholders.
• Proactively identify data quality risks, root causes, and control gaps, and drive sustainable improvements to upstream and downstream processes.
• Leverage strong programming skills to test, explore, examine, and interpret large data sets in various forms
• Develop subject-matter expertise and knowledge around new and existing complex datasets associated with policies, claims, and customers.
• Provide ad hoc code and logic reviews to support partner teams, promoting consistency, accuracy, performance, and best practices across analytical and actuarial solutions.
• Solving complex problems utilizing creative solutions and new perspectives
• Becoming an expert in assigned business processes, including upstream and downstream implications.
• Leading and executing process and data improvement projects
• Influencing all levels of an organization to support projects and/or ideas
• Handle ad hoc requests from customers in a timely fashion identifying core business problem, gather relevant customer requirements, and develop solutions

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level