Overview
This role involves applying statistical and mathematical techniques to analyze data, assess risk factors, and support pricing and risk processes for Health & Wealth Benefits.
You will collaborate with data scientists, analysts, and cross-functional teams to develop pricing models, perform risk assessments, and help ensure compliance with regulatory requirements.
Responsibilities
- Collaborate with cross-functional teams to align and develop business strategies for best-in-class pricing and offerings.
- Communicate complex ideas clearly to leadership at all levels and across a broad set of stakeholders.
- Adapt quickly to changing priorities; manage multiple priorities and re-assess/pivot as needed.
- Take initiative and work independently when needed, including assessing scope and effort to develop models, predict outcomes, and assess future risk and vulnerability.
- Conduct experience studies and identify actionable insights to modify subscriber behaviors aimed at improving overall results.
- Analyze carrier cost ratios based on overall experience, identifying opportunities for improvement among new business and existing client base.
- Gather and develop benchmarks to assess performance and potential areas for improvement.
- Prepare and present actuarial reports to senior leadership, explaining findings and recommendations in a clear, understandable manner.
- Provide insights to partners to continuously improve processes through data and innovation.
- Build strong internal and external partnerships.
- Partner with Data & Analytics, Data Product teams, and business stakeholders to create roadmaps and execute project plans in a fast-paced, agile development environment.
- Create use-case specific data tables by joining key elements across multiple data domains.
- Assess and determine key data elements needed for evaluation, ensuring they are well-structured, adhere to data quality rules, and are traceable from the consumption layer back to the raw layer.
- Drive strategic use of data to support business efficiencies and competitive decision-making.
- Mentor junior team members working within a matrix pod to support Advanced Analytics initiatives.
- Stay current with industry trends, actuarial methodologies, and best practices through ongoing professional development and education.
- Maintain awareness of industry regulations and support compliance in all actuarial aspects of products and services, including compliance with SOX, HIPAA, and other regulations.
Requirements
- Fully remote is available if the identified candidate is not near an office; otherwise, a hybrid flexible work arrangement is supported (3 days in the office and 2 days at home).
- Bachelor’s degree in actuarial science, Mathematics, Statistics, or a related field.
- Associate of the Society of Actuaries (ASA).
- 12+ years of experience as an actuary or equivalent relevant role, with a strong background in health insurance.
- Knowledge of healthcare actuarial practice, including pricing, reserving, and forecasting.
- Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space.
- Proficiency in statistical modeling tools and programming languages: SQL, Python, MATLAB, R, or similar.
Preferred Qualifications
- MBA is a plus.
- Experience working in PEO, Risk analytics, or analytical consulting.
- Understanding of both fully insured and self-insured Health & Benefits programs with underwriting and claims projection experience.
- Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts.
- Demonstrated ability to lead and participate on large projects, including complex analytical initiatives across departments.
- Ability to communicate optimal design of the data for modeling.
- Experience with Jira and Confluence preferred.
- Knowledge of dashboarding tools (e.g., Dash, Shiny, Tableau, PowerBI).
- Comfort using APIs to perform advanced data transformations.
- Exceptional analytical and problem-solving skills.
- Strong written, verbal, communication, presentation, and interpersonal skills with both technical and non-technical audiences.
Compensation & Benefits
- Base salary: USD $123,400.00 - USD $303,800.00 / Year*
- Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.
- Additional compensation may include bonus, equity, or commissions (where applicable).
- Benefits may include: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short- and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more.
Location
- Fully remote available if the identified candidate is not near an office.
- Otherwise, hybrid flexible work arrangement: 3 days in the office and 2 days at home.