The role

Our product rates more than 400,000 companies across 7 countries using a proprietary scoring model and a three-level sector taxonomy. That methodology is built and maintained jointly by the Business Analysts and the product squads, and you will join that work from day one. You will help decide how a company qualifies for a metric, what threshold separates a signal from noise, how a microsector is defined and documented, and whether a change to the model is ready to reach clients.

You will work with another Business Analyst, the four product managers, the product designer, data engineering and data science, and you will report to the CPO.

What you'll do

- Build the methodology behind our scoring, classification and taxonomy together with the squads. Propose eligibility rules, thresholds and metric definitions, document them with examples and versioning, and validate each change before release.
- Review PRDs and designs from a business and financial-statements angle and give engineering written answers, so that nobody builds ahead of the definition.
- Analyse the sector and macro context by country (growth, cycles, regulation) and bring that reading into model discussions on weights, thresholds and taxonomy changes.
- Prepare and read product and data-quality metrics (classification confidence, accuracy, adoption in Mixpanel) for the metric review and turn them into recommendations for PMs.
- Validate the data that drives client-facing outputs, meaning financials,



ratings and microsector assignments, before each release.
- Use LLMs every day as a working tool. Analyse data and documents with Claude or ChatGPT, prototype rules and classifiers with them, evaluate the output of our own AI agents (classification, enrichment, assistant) and write the evals that tell us whether they are right.
- Help explain the model and its evolution to internal teams and, together with product, to clients and partners.

What we're looking for
- 3+ years as a business analyst, financial analyst or data analyst, ideally in fintech, banking, private equity, private credit or market research.
- Structured thinker who breaks an ambiguous question into definitions, rules and edge cases before proposing an answer, and writes it down so others can build on it.
- Advanced, daily use of LLMs (Claude, ChatGPT, Gemini or similar). You know how to prompt them well, how to structure a task so the output is reliable, how to check them when they are wrong and where they should not be trusted. Experience evaluating or building AI agents, or working with tools like Claude Code.
- High attention to detail, since your definitions drive outputs that clients see.
- Comfortable working across several squads at once and managing competing requests.

What we offer
- 25 days of vacation (and your birthday off!)
- Hybrid mode: 2 days in office 3 days in remote
- If interested, please email [email protected]

📌 Business Analyst (Madrid)
🏢 mscope
📍 Madrid