Credit Risk Analyst

At Scalapay, we’re shaping a culture with high standards, independent and critical thought, innovation, ownership, and continuous learning . We operate in a fast-moving, tech-driven environment , and we’re looking for people who thrive in change, think boldly, and take initiative.

If you’re ready to put your potential to the test in a hiring process designed to spotlight exceptional talent, this is your chance to stand out and grow with one of Europe’s most ambitious fintech teams .

#MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.

THE MISSION

Behind every purchase paid in installments at one of our merchants there is a credit decision we make and own. The Credit Risk team is responsible for those decisions: who we approve, how much we extend, on what terms, and how the portfolio performs afterwards.

We're looking for a Credit Risk Analyst to join the team in Barcelona. The portfolio we manage is growing, BNPL is coming into the European regulatory perimeter, and we're building the team and the tooling to match. You'll work with the CRO, with Data Science and Data Engineering, and with Commercial, and you'll have the opportunity to fully own parts of the portfolio from early on.

WHAT YOU WILL DO

Portfolio strategy

Manage the credit strategy of a consumer portfolio built on millions of customers and thousands of merchants across multiple European countries: how much we extend, to whom and through which merchants. You'll work with Commercial and Account Management so that risk appetite and growth pull in the same direction.

Review merchants and segments, decide where the portfolio should be adjusted, and make it happen.

Decisioning and changes

Take credit decisions from analysis to production. Rules, credit limits, thresholds: propose the change, size it, test it, ship it, and measure what happened.

You take the decisions, not only prepare them. You'll hold a clear mandate on merchant and portfolio decisions from the start, with the team behind you and room to grow it.

Monitoring and tooling

Build the monitoring that tells us whether the portfolio and our decisions are doing what we expect, with risk-adjusted profitability as the organising metric.

Monitor the portfolio across customers, merchants and countries, and dig into what's moving before it turns into losses.

Build the team's knowledge base as you go: the decisions we take, the changes we ship and the reasoning behind them.

Collaboration

Work with Data Science and Data Engineering on the models, features, pipelines and data that feed our decisions. We’re aiming for a self-sufficient team on the data stack.

Work with the rest of the Risk function, Fraud included, on the patterns that drive losses and what to do about them.

As you settle in, you'll take on a project of your own end to end.

WHO WE ARE LOOKING FOR

Must have

A degree in engineering, physics, computer science, mathematics, statistics, economics or another quantitative field, or equivalent demonstrated quantitative ability.

4+ years in an analytical role where your output drove decisions.

Strong SQL. You use it every day, you're comfortable with complex joins and window functions, and you can read someone else's query and work out why two numbers disagree.

Working Python. You can read and modify a pandas script, write a function and get to a result. You don't need to be a software engineer.

Proactivity and technical curiosity. Our domain is technical: decisions live in code, configs and pipelines, and the people who do well here go and look at how things work rather than waiting to be told.

Clear communication. You can explain a complex analysis to different audiences, from Commercial to leadership, and you can stand behind your conclusions.

Fluent English (B2+ level). This is our global internal language.

Nice to have

Exposure to consumer credit, BNPL, lending or e-commerce risk.

Familiarity with git (or another version control system), CI