Director, Actuary

Overview

This role applies statistical and mathematical techniques to analyze data, assess risk factors, and support actuarial pricing and analytics for Health & Wealth Benefits.

You will collaborate with data scientists, analysts, and cross-functional partners to develop pricing models, conduct risk assessments, and help ensure compliance with regulatory requirements.

Responsibilities

• Collaborate effectively with cross-functional teams to align and develop business strategies for best-in-class pricing and offerings.
• Communicate complex ideas clearly, including to leadership and technical/non-technical audiences; drive transparency on priorities and expected return.
• Adapt quickly to changing priorities and re-assess/pivot as needed while managing multiple deliverables.
• Take initiative and work independently as needed to assess scope, estimate effort, build 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; identify opportunities for improvement for new business and the existing client base.
• Gather and develop benchmarks to assess performance and potential improvement.
• Prepare and present actuarial reports to senior leadership, explaining findings and recommendations in a clear and 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 environment.
• Create use-case specific data tables by joining and deriving critical elements across multiple data domains.
• Assess and determine key data elements needed for evaluation; ensure data is well-structured, follows data quality rules, and is 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.
• Maintain awareness of industry regulations and support compliance across actuarial aspects of products and services, including SOX, HIPAA, and other regulations.

Requirements

• Can be fully remote, if the identified candidate is not near an ADP office. Otherwise, we support a hybrid flexible work arrangement; 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’ 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.
• 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 effectively lead and participate on a variety of large projects, including complex analytical initiatives across departments.
• Ability to effectively communicate optimal design of the data for modeling.
• Experience with Jira and Confluence.
• Knowledge of dashboarding tools (e.g., Dash, Shiny, Tableau, PowerBI).
• Comfort using APIs to perform advanced data transformations.
• Exceptional analytical and problem-solving skills.
• Excellent written, verbal, presentation, and interpersonal skills with both technical and non-technical audiences.

Compensation & Benefits

• Compensation: USD $123,400.00 - USD $303,800.00 / Year
• Base salary offers may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions.
• Benefits offered: 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.
• Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.

Location

• Fully remote option available if the candidate is not near an ADP office; otherwise hybrid arrangement: 3 days in the office and 2 days at home.