Director Actuary

ADP is hiring a Director, Actuary - Health & Wealth Benefits organization.

In this role, you will apply statistical and mathematical techniques to analyze data and assess risk factors. The ideal candidate will work closely with data scientists, analysts, and other teams to develop pricing models, perform risk assessments, and ensure compliance with regulatory requirements.

• Collaborate effectively with cross-functional teams. Work with the business to align and develop business strategies for best-in-class pricing and offerings.
• Communicate complex ideas simply. Excellent verbal and written skills; able to communicate effectively with leadership at all levels and across a broad set of team members. Drive transparency on priorities and expected return.
• Adapt quickly to changing priorities. Commitment to manage multiple priorities and have ability to re-assess and pivot as needed.
• Take initiative and work independently when needed. Ability to effectively assess the scope of work and level of effort, to develop models, predict outcomes, and assess future risk and vulnerability.
• Results Driven. Proactive and hands-on. Understands statistical packages and has proven ability to deploy models; evaluate and work with large data sets; and provide actionable insights.

As the Director, you will be recognized as an expert within the company. You will have 12+ years of experience in actuary or equivalent. You will have a passion for health insurance--a motivated self-starter with strong analytical and problem-solving skills. This special someone should have excellent attention to detail, with the ability to learn quickly, keeping up with the ever-evolving healthcare space. Ideal candidates have a history for producing key insights and delivery models to increase accuracy of reporting and advanced analytics in an agile environment to unlock transformational growth.

Ready to #MakeYourMark? Apply now!

WHAT YOU'LL DO IN THIS ROLE: Responsibilities

• Conduct experience studies and identify actionable insights to modify subscriber behaviors geared toward 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 for purposes of assessing our performance and the potential for improvement.
• Prepare and present actuarial reports to senior leadership, explaining findings and recommendations in a clear and understandable manner.
• Offer insights to partners to continuously improve processes through data and innovation.
• Build strong internal and external partnerships.
• Partner with the Data & Analytics organization, Data Product teams, and business stakeholders to create roadmaps and execute project plans in fast-paced, agile development environment.
• Create use-case specific data tables by joining and critical elements across multiple data domains.
• Assess and determine key data elements needed for evaluation, ensuring it is well-structured, adheres to data quality rules, and traceable from consumption layer back to raw layer.
• Drive strategic use of data to support business efficiencies and competitive decision-making.
• Mentor junior team members working within matrix pod to support Advanced Analytics initiatives.
• Stay current with industry trends, actuarial methodologies, and best practices through ongoing professional development and education.
• Ongoing awareness of industry regulations and work to ensure compliance in all actuarial aspects of our products and services. Ensure compliance with SOX, HIPAA, and other regulations.

TO SUCCEED IN THIS ROLE: 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 various aspects 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.