Job Description

We're building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics. Behind this work is a Finance team that holds the function to the same standard: rigorous, transparent, and built to last. You'll be the analytical and systems engine of that team — owning our financial tooling, workforce analytics, and compensation modelling, while caring just as much about whether the numbers make sense as whether the systems run.

Location Remote (working hours typically 09:00-18:00 CET)

Reports to Finance Manager

Team Finance (3 people total)

What you'll own

• Finance systems & automation — build and maintain our automated data layer: API pulls from Xero, Deel, and Revolut into Google Sheets; LLM-assisted scripts; live dashboards for cash, spend, and workforce data; and ongoing automation of the Deel ↔ Xero integration 1
• Cash Management Dashboard — own the design, build, and maintenance of our cash monitoring tool, feeding liquidity management and treasury decisions with clean, reliable data
• Workforce analytics & reporting — track FTE costs by team and country, model employment-type and location trade-offs, and surface insights that inform hiring and structure decisions
• Compensation modelling & data — own the data gathering, modelling, and tooling behind our compensation framework: market benchmarking, comp band maintenance, and analytical input to compensation decisions
• Achievement rewards (bonus scheme) — run the quarterly bonus calculation end-to-end: tool-intensive computation, eligibility tracking, and handoff to payroll for execution
• Headcount planning model — maintain the hiring plan vs. budget model, cost implications of new hires across employment types, hiring schemes, updated real time as plans evolve
• Vendor tooling & new product research — design our vendor management system and lead evaluation of new tools and services; you know what good tooling looks like and can assess fit quickly

What we're looking for what we're looking for

• MSc degree in a quantitative domain is a strong plus
• 2–4 years in a role that genuinely combined financial analysis with data or systems work — FP&A at a tech startup with a strong automation component, finance operations where you built the tools as well as ran them, or a people analytics function with a financial modelling dimension
• You have demonstrably built things: API integrations, scripted data pipelines, LLM-assisted tools, connected Google Sheets models — evidenced in your CV, not described as an interest
• Strong in Google Sheets or Excel at the modelling level — you build connected, maintainable models and know when a formula stops being the right answer and a script begins
• You care about whether the numbers are right, not just whether the system runs — you read the outputs of the tools you build, spot anomalies, and flag them without being asked
• Genuine curiosity about workforce and compensation data: what it is the total cost to the company of hiring someone in France vs. Portugal, how a hiring plan affects runway, which comp benchmarking sources are worth trusting, how to triangulate between them to get to the best answer
• Familiarity with Deel, Xero, or comparable platforms at data-access level — you know how to work with their APIs to get clean data out, not just navigate the interface
• Self-directed and precise — you set your own structure, push work forward without prompting, and are as comfortable saying "this doesn't look right" as you are shipping something new

Who thrives here

You don't accept "that's how we've always done it." When you spot a manual step, your instinct is to understand why it exists and whether it should — and then to fix it properly, not patch it. You document what you build so that the next person can pick it up without asking you ten questions.

You hold yourself to a no-error standard. The tools you build feed payroll decisions, compensation reviews, and leadership reporting — "almost right" has real consequences downstream, and you know that. You're the person who reads the output twice before sending it, not because someone told you to, but because that's who you are.

You're comfortable working with smart, demanding people who push back, ask hard questions, and expect you to do the same. This isn't a role where you execute quietly and wait for instructions — you're expected to flag problems early, propose solutions, and take ownership of outcomes.