Hybrid Actuary, Data Analysis

Posted 3 days ago

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About the role

  • Actuary developing and maintaining complex data sets for long term care analysis at Genworth. Collaborating with cross-functional teams and ensuring strong data governance.

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

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
  • 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

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

Job title

Actuary, Data Analysis

Job type

Experience level

Mid levelSenior

Salary

$115,900 - $220,200 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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