Senior Actuary: Data Science & Analytics

Highmark Health; East Honolulu (HI); On-site; USD 120,000 - 170,000; Full time

Job summary

Highmark Inc. is seeking a senior level actuarial analyst to participate in the Actuarial Executive Development Program and advance toward actuarial credentials. The role involves defining problems, outlining data needs, and developing analyses and materials to inform management decisions across multiple actuarial functions.

The position emphasizes mentorship, process improvement, and collaboration with teams on pricing, reserves, and predictive modeling. Office-based with travel as needed.

Qualifications

• 3 years experience in an actuarial role.
• 6 Exam Components
• Preferred: 10 or more Exam Components

Responsibilities

• Define & diagnose a problem. Outline data requirements for a study or analysis and devise potential solutions.
• Create studies, analyses, and presentation materials to inform decision makers and provide recommendations to management.
• Proactively ensure internal and external consistency of all work and perform reasonability checks.
• Identify methods to test suspect results and communicate findings clearly to stakeholders.
• Mentor less experienced staff regularly and lead by example.
• Understand environment, goals, and objectives of stakeholders to propose and implement improved processes.

Skills

Actuarial principles

Analytical skills

Oral & Written communication

Problem-Solving

Mentoring

Education

Bachelor's degree in Actuarial Science / Mathematics / Statistics

Master's degree (preferred) in Actuarial Science / Mathematics / Statistics

Job description

Highmark Inc. is seeking a senior level actuarial analyst to participate in the Actuarial Executive Development Program and advance toward actuarial credentials. The role involves defining problems, outlining data needs, and developing analyses and materials to inform management decisions across multiple actuarial functions.

The position emphasizes mentorship, process improvement, and collaboration with teams on pricing, reserves, and predictive modeling. Office-based with travel as needed.