Healthcare Actuary (US-Remote)

Role Summary

We are looking for an actuary to support both data analytics and tool building. In this role, you will serve as a critical resource supporting the ongoing development of Handl's tool suite, translating complex healthcare data into actionable insights for employers, brokers, and health plans. You will move beyond traditional reporting to help design the logic and algorithms that power our network analytics tools, alternative health plan modeling capabilities, and cost-containment tools, powered by a deep understanding of both new and traditional sources of healthcare data.

This is a unique opportunity for a self-starter who is comfortable navigating ambiguity and wants to bridge the gaps between actuarial science, data science, and product development. You will work directly with our Chief Actuary and actuarial team, Product team, and Engineering team to operationalize actuarial principles, ensuring our platform accurately models network cost comparisons, plan design evaluation, provider quality scoring, and member behavior modeling.

The role combines hands-on healthcare data analysis and validation with supporting the development and refinement of actuarial methodologies, algorithms, and tools. You will work closely with senior actuarial leadership while contributing your own analytical insights and problem-solving skills, with opportunities to take on greater ownership and independence as you grow in the role.

Responsibilities

Core Modeling & Methodology

• Data Mastery: Validate and analyze healthcare transparency data and large medical claims datasets, investigating data quality, inconsistencies, and limitations to determine appropriate exclusions, adjustments, or workarounds. Use these insights to optimize how data is used in identifying savings opportunities and promoting efficient use of healthcare resources.
• 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.
• Plan Design Analytics: Model the impact of changes in health plan design and perform precise calculations of Plan Actuarial Values (AV).

Product & Algorithm Development

• Engineering Collaboration: Partner closely with the actuarial, Product, and Engineering teams to translate actuarial principles into user-friendly software tools and scalable algorithms, supporting the development and refinement of specific methodologies and tool components.
• Actuarial Review: Serve as a primary resource reviewing output from new models and algorithms to ensure results are reasonable, explainable, and aligned with actuarial expectations. Utilize critical thinking skills when results deviate from expectations to identify drivers and recommend corrective actions as necessary.
• Healthcare Transparency Data SME: Develop deep subject matter expertise related to healthcare transparency datasets, both provider and payer. Utilize this knowledge to identify gaps and opportunities related to Handl's use of this data, to fully optimize the value of these datasets and position Handl as an industry leader in healthcare transparency-based tools and analytics.
• 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: Prepare written presentations and reports summarizing results of complex studies, suitable for both technical and non-technical audiences. Participate in meetings with senior leadership and clients as a technical subject matter expert to discuss findings and recommendations.
• Industry Influence: Serve as a brand ambassador for Handl by promoting Handl's reputation and credibility within your peer network.

Requirements

• Credentials: ASA or FSA credential preferred. Candidates who are very close to completing their ASA will also be considered.
• Experience: 4–7 years of healthcare actuarial experience, including substantial hands-on experience analyzing medical claims data. Commercial healthcare experience is preferred, but candidates with strong Medicare or Medicaid claims analytics experience will also be considered.
• Technical Range: Demonstrated ability to apply actuarial rigor to large, complex datasets. Working knowledge of at least one programming or querying language, such as SQL, Python, or R, is required. Candidates should be comfortable independently writing basic queries or code to extract, filter, and analyze data. SQL is strongly preferred.
• Subject Matter Expertise: Strong understanding of healthcare claims data is required. Familiarity with plan design and the mechanics of provider networks is preferred. Familiarity with healthcare price-transparency data and episode-based claims bundling is highly desirable, but direct experience is not required.
• Analytical Problem-Solving: Demonstrated curiosity, critical thinking, and a willingness to investigate complex data challenges. Candidates should be comfortable questioning results, identifying opportunities for improvement, and contributing creative solutions to new or evolving analytical problems.
• Startup Mindset: A self-starter who thrives in a fast-paced environment. You are comfortable dealing with ambiguity, thinking outside the box, and executing without a massive support infrastructure. You enjoy working hands-on with data, collaborating across teams, and contributing to the development of new tools and approaches.

Compensation

The base salary range for this position is $160,000–$190,000, depending on your location, experience, and market conditions.

Benefits include:

• Employee stock options
• Generous health benefits and 401(k) matching
• Flexible paid vacation, parental leave, 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 Los Angeles 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 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 healthcare more affordable and transparent for everyone.