Description

Role Summary
We are looking for a credentialed Actuary who wants to build, not just analyze. In this role, you will serve as the actuarial backbone of our product, translating complex healthcare data into actionable insights for employers and health plans. You will move beyond traditional reporting to help design the logic and algorithms that power our transparency, alternative health plan design models and cost-containment tools.

This is a unique opportunity for a self-starter who is comfortable navigating ambiguity and wants to bridge the gap between actuarial science and software development. You will work directly with our engineering teams to operationalize actuarial principles, ensuring our platform accurately models plan designs, provider quality, and member behavior.

Responsibilities

Core Modeling & Methodology

Plan Design Analytics: Model the impact of changes in health plan design and perform precise calculations of Plan Actuarial Values (AV).
Data Mastery: Ingest, clean, and analyze (with data engineering support) large medical claims datasets to uncover trends and baseline costs.
Provider Scoring: Evaluate provider cost and quality metrics to support the development of tiered networks and high-performance steering strategies, including episode based claims bundling.
Network comparison: Refine and expand carrier network cost comparison tools and capabilities

Product & Algorithm Development

Engineering Collaboration: Partner closely with Product and Engineering teams to translate actuarial principles into user-friendly software tools and scalable algorithms.
Behavioral Modeling: Apply studies on benefit incentives and member decision support tools to predict how product features will drive utilization shifts and cost savings.

Communication & Strategy

Stakeholder Presentation: Present complex study results and actuarial methodologies to both technical and non-technical audiences (including clients, investors, and internal leadership) with clarity and impact.
Industry Influence: Leverage your established peer network across national carriers and consulting firms to stay ahead of market trends and valid methodologies.  Facilitate introductions to industry leaders, and help strengthen Hand's reputation & credibility as a provider of actuarial solutions.

Compensation: 
The salary ranges from $170k - 250k, depending on your location, experience, and market conditions. Benefits you'll receive:

• Employee Stock Options
• Generous health benefits and 401K matching
• Flexible paid vacation, parental and medical leave
• A stipend to help you set up a home office 

Location:
This role is fully remote but if you are in the LA area, there is an opportunity to work within the Handl office.  Travel requirements for this role are limited to infrequent in person meetings with the team.

About Handl Health
Handl Health is building the next generation of health insurance infrastructure for employers by making healthcare costs transparent and actionable. As regulations like the Transparency in Coverage Rule and the CURES Act reshape the industry, we believe healthcare is entering a pivotal moment — and data-driven decision-making will define what comes next.

Founded by leaders with backgrounds in clinical care, data strategy, and healthcare innovation, Handl Health is a Series A company that's backed by leading venture firms and the National Institutes of Health through the Small Business Innovation Research (SBIR) program. Our platform helps employers, brokers, and health plans better understand healthcare pricing, identify cost-saving opportunities, and design more affordable plans.

We are a growing, mission-driven team that values thoughtful execution, collaboration, and balance. We work hard, support one another, and stay focused on our shared goal: making 

Requirements

Requirements

• Credentials: Credentialed Actuary (ASA or FSA) is required.
• Experience: 5–10 years of deep healthcare experience, specifically working with medical claims data.
• Technical Range: Demonstrated ability to apply actuarial rigor to large, unstructured datasets; familiarity with SQL, Python, or R is a strong plus (SQL preferred).
• Subject Matter Expertise: Deep understanding of plan design, utilization management, and the mechanics of provider networks.   Familiarity with price transparency data.  Experience with episode based claims bundling is highly desirable.
• Startup Mindset: A self-starter who thrives in a fast-paced environment. You are comfortable dealing with ambiguity, defining your own roadmap, and executing without a massive support infrastructure.