FP&A Applied Researcher

Role Details

• Full-Time
• Office Location - New York City (preferred)

Why Translucent

Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.

Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.

Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.

Role Overview

We are looking for an FP&A researcher with a strong understanding of how finance teams at enterprise healthcare provider organizations (medical groups, health systems) plan, forecast, analyze, and report on business performance. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a deep understanding of our customers' financial planning workflows and how those workflows can be accelerated by AI systems.

What You'll Do

To facilitate the development of these systems, you will:

• Develop and deliver subject-matter expertise in financial planning & analysis to support AI research
• Work closely with our engineering, product, and design teams to define and develop AI systems for FP&A workflows
• Build proprietary benchmarks and datasets to evaluate models and AI Agents against real-world FP&A tasks — including forecasting, variance analysis, scenario modeling, board reporting, and more
• Partner directly with customers to understand their planning cycles, identify pain points, and translate complex financial and business requirements into technical solutions

What You Have

• 7 years of experience in FP&A, corporate finance, investment banking, or an equivalent finance function — ideally with exposure to budgeting, forecasting, financial modeling, and management reporting
• Strong proficiency with financial models, spreadsheets, and common FP&A tools (e.g., Excel, Google Sheets, Anaplan, Adaptive, NetSuite, Strata or similar)
• Demonstrated ability to deliver high-quality financial analysis on demanding deadlines
• Ability to effectively communicate with a variety of internal and external stakeholders and translate complex problems between finance, product, and engineering teams
• Ability to define positive outcomes in situations with underspecified success criteria
• Deep intellectual curiosity and eagerness to learn across domains — particularly at the intersection of finance and AI
• Willingness and desire to do work in the trenches — e.g., grading hundreds of model-generated forecasts, breaking down thousands of financial documents, stress-testing outputs against real-world standards. Getting AI to do analyst-level FP&A work requires a lot of things that look like analyst-level FP&A work

Nice to Have

• Experience at a high-growth startup
• Familiarity with SQL, Python, or other data tools
• Prior exposure to AI/ML concepts or prompt engineering

Anticipated compensation: $150,000 - $250,000 and Equity