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Salary
≈ $91k – $177k per year (Estimated)
Location
Remote (United States)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Jun 24, 2026.

Overview
Company
Impact
Profile match
Accorded - Transform insurance with intelligent data analytics and actuarial expertise.

About Accorded

Accorded is a healthcare analytics and actuarial intelligence company. We partner with innovative care delivery organizations - value-based primary care groups, specialty providers, digital health companies, and health systems - to help them understand the financial and clinical impact of their programs and negotiate smarter contracts with payers.

Our work sits at the intersection of actuarial science, data engineering, and client strategy. We build and deploy the models; we also sit across the table from clients to explain what the numbers mean and what to do about them. The team is small, the clients are real, and the work matters.

The Role

We're looking for an experienced Actuary to join our lean actuarial team in a client-facing delivery role. You will support a portfolio of active accounts - running analyses, building and pressure-testing models, and communicating results directly to client stakeholders. Over time, you may take primary ownership of selected accounts.

This is not a back-office actuarial position. You will be in the room (most often virtually) with clients regularly. The analytical and the relational are equally weighted here.

What You'll Do

  • Execute client-facing actuarial analyses across our core methodologies: dynamic benchmarking, propensity score matching, and performance guarantee modeling
  • Build, validate, and explain financial models grounded in claims data - Medicare Advantage, commercial, and Medicaid
  • Own deliverables end-to-end: from data pull in BigQuery to a client-ready output that tells a coherent story
  • Participate in client calls and presentations; translate complex actuarial concepts for clinical and operational audiences without dumbing them down
  • Support scoping and methodology design for new engagements, including SOW input and assumptions documentation
  • Collaborate with data engineering and data science colleagues to improve model infrastructure and delivery pipelines
  • Identify gaps, surface risks, and propose solutions - proactively, not reactively

What We're Looking For

Credentials & Experience

  • Bachelor’s (or higher) degree in relevant field (e.g., actuarial science or statistics)
  • ASA designation required; FSA a plus
  • 3+ years of actuarial experience in health (5+ preferred); consulting or payer background both welcome
  • Meaningful exposure to value-based care, population health analytics, or Medicare Advantage

Technical Skills

  • Excel modeling: fluency with complex workbooks, not just pivot tables
  • SQL / BigQuery: able to write and debug queries independently against large claims datasets
  • AI tool proficiency: you actively use AI tools to accelerate your work, not as a novelty
  • Familiarity with common claims data sources (MarketScan, Komodo, CMS-RIF, or similar) is a plus

Working Style

  • Clear communicator - written and verbal - with non-actuarial audiences
  • Comfortable owning a deliverable under time pressure without a playbook to follow
  • Organized enough to manage multiple concurrent client workstreams without dropping threads
  • Curious, not just compliant - you want to understand why the model says what it says

What to Expect (Read This Carefully)

We believe in honest recruiting. Here is what working at Accorded actually looks like:

  • Ambiguity is the default. Methodologies evolve, client needs shift, and the right answer is often something we're building for the first time. If you need a fully documented process before you can start, this role will frustrate you.
  • You will wear multiple hats. In the same week, you might QA a regression model, present findings to a CFO, and draft SOW language for a new engagement. Scope fluidity is a feature, not a bug.
  • The team is lean. There is no large actuarial department to absorb your questions or review your work six times before it goes to a client. Judgment and ownership matter from day one.
  • Remote means async-first. We are fully distributed. Strong written communication and self-direction are non-negotiable - not just nice to have.
  • The work is genuinely interesting. Our clients are building new care models. The actuarial questions they bring us have not all been answered before. That's the upside of the ambiguity.

Compensation & Benefits

  • Competitive base salary
  • Equity participation - we want teammates who are invested in what we're building
  • Fully remote, reasonably flexible working hours
  • Health, dental, and vision coverage offered
  • Support for continuing actuarial education and exam fees
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