Director, Actuary

Overview

This role applies statistical and mathematical techniques to analyze data, assess risk factors, and support actuarial analysis for Health & Wealth Benefits. The position partners closely with data scientists, analysts, and cross-functional teams to develop pricing models, perform risk assessments, and support regulatory compliance.

Responsibilities

• Collaborate with cross-functional teams to align and develop business strategies for pricing and offerings.
• Communicate complex ideas clearly to leadership and a range of stakeholders.
• Adapt to changing priorities by re-assessing work scope and pivoting as needed.
• Take initiative and work independently, including developing models, predicting outcomes, and assessing future risk and vulnerability.
• Conduct experience studies and identify actionable insights to modify subscriber behaviors and improve overall results.
• Analyze carrier cost ratios based on overall experience, identifying improvement opportunities for new business and existing clients.
• Gather and develop benchmarks to assess performance and potential improvements.
• 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 using data and innovation.
• Build internal and external partnerships.
• Partner with the Data & Analytics organization, 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 critical 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 ongoing awareness of industry regulations and ensure compliance with 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 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.
• 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 large projects and complex analytical initiatives across departments.
• Ability to effectively communicate optimal design of the data for modeling.
• Experience with Jira and Confluence.
• Knowledge with 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 communication, presentation, and interpersonal skills with both technical and non-technical audiences.
• Ability to effectively communicate optimal design of the data for modeling.

Compensation & Benefits

• Base salary: USD $123,400.00 - USD $303,800.00 / Year*
• Some positions may include additional compensation in the form of bonus, equity, or commissions.
• Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.

Benefits offered 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
• Additional benefits

Location

• Fully remote (if the identified candidate is not near an ADP office), otherwise hybrid flexible work arrangement: 3 days in the office and 2 days at home.