• Build and own predictive risk models (PD, churn, stress testing)

• Analyze drivers of risk and performance and translate insights into improvements

• Design and validate features that make models more robust and explainable

• Work with engineers to bring models into production and keep them running smoothly

• Translate insights into clear, data-driven decisions for stakeholders

• Stay sharp on trends, regulations and new modelling techniques

• As a senior you will, coach junior team members and help the team grow

• Senior experience as a Data Scientist or Credit Risk Modeller in a bank, fintech or lending company.

• Proven experience building and owning credit risk models (e.g. PD, LGD, loan capacity, portfolio models).

• Strong skills in Python and SQL.

• Experience taking models from data to production and embedding them in real credit decisions (acceptance, pricing, credit limits).

• Strong understanding of lending portfolios and the growth vs risk trade-off, with experience contributing to risk appetite & portfolio steering.

• Comfortable working with engineers, analysts and risk stakeholders in a cross-functional environment.

• Business-driven: able to link models and analyses to approval rate, losses, margin and portfolio performance.

• Structured, proactive and able to take ownership in a fast-growing scale-up environment.

Are you interested in this position? Apply by clicking on the “Apply Now” button below!

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