Drimva

Maven Clinic

Senior Actuary, Outcomes

$180K–$210K

New York, NY +2 · Remote · Senior · Full-time · Posted Jul 7, 2026

Location
New York, NY
Remote, US (Hub cities)
Remote
Experience
6+ years of directly relevant actuarial or healthcare analytics experience when qualifying via a graduate degree; alternatively, an actuarial credential or meaningful progress toward credentialing.
Education
Graduate degree (when qualifying through the experience alternative).

About the job

Leads actuarial modeling and claims analysis to evaluate outcomes, savings, and financial risk across Maven’s employer benefit programs, while supporting client-facing strategy.

What you'll do

  • Own claims and savings projections, retrospective analyses, performance guarantee assessments, and value-based care modeling.
  • Build and maintain actuarial and ROI models; conduct claims analytics and actuarial confidence evaluations.
  • Support RFPs, present outcomes methodology to clients and partners, contribute to thought leadership, and manage actuarial vendors.

What they ask for

  • FSA, ASA, or equivalent actuarial credential (or meaningful progress toward credentialing), or a graduate degree with 6+ years of directly relevant actuarial or healthcare analytics experience.
  • Strong analysis design, modeling, data manipulation, and client-ready communication skills.
  • Comfort using a coding language (SQL preferred) and Excel; ability to use AI to produce and QA code for data exploration and analysis.
  • Deep familiarity with healthcare claims data, PMPM/PBPM cost modeling, and trend analysis.

Nice to have

  • Experience in employer-sponsored benefits, stop-loss, or managed care actuarial roles; familiarity with performance guarantees or risk-based contracting.
  • Experience supporting sales or growth in healthcare technology or benefits; women's health, maternity, or family benefits experience; data visualization tools (Looker a plus).

Pay

USD $180,000-$210,000 per year (base salary)

Tools

Excel, SQL, Looker

AI focus

Use AI to produce and QA code for data exploration and analysis.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)