Data Scientist - Credit Risk

Are you a Data Scientist who loves financial products but finds the traditional industry moving too slow? Then come help us revolutionize the way we view business financing!

We’ve built a platform that turns business financing from a slow, manual process into a one-second decision. Now we’re looking for someone to make it even smarter. As a Data Scientist at BridgeFund, you’ll help shape the logic that decides how millions in business funding flow through our system. You’ll work end-to-end: designing, training, and deploying models that predict risk, assess creditworthiness, and guide portfolio performance. You’ll turn raw data into clear, actionable insight: the kind that changes how we lend, price, and grow. You’ll be part of a compact, high-impact team of data scientists, engineers, and analysts who are driven by rapid prototyping and continuous deployment. We test fast, ship often, and only celebrate what works in production. We’re far from done, and that’s exactly how we like it.

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  Build next-generation steering models combining PD, LGD, and behavioral data to drive profitable commercial growth.

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  Analyze drivers of risk and performance and translate these insights into smarter acceptance, pricing and portfolio strategies. 

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  Design and validate features that make models more robust and explainable

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

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  Use smart decisioning and predictive models to accelerate loan approvals and identify high-potential customers.

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  Develop early-warning signals, stress-testing frameworks, and proactive risk intervention mechanisms for existing portfolios.

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  Champion model explainability by translating complex machine learning outputs into transparent, interpretable, and actionable decisions for leadership across Engineering, Analytics, and Data Modeling.

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  Stay sharp on trends, and new modeling techniques

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

• 5 years of experience as a Data Scientist or Credit Risk Modeler 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.

While small businesses drive the economy, when it comes to financing, traditional systems still move at the speed of paper. We founded BridgeFund in 2018 to change that. We’ve stripped away the bureaucracy: an entrepreneur applies in just five minutes, and our advanced technology processes the data quickly and efficiently. By combining cutting-edge automation with real human logic, we make financing decisions that are both fast and fair. We grew our portfolio 55% last year and have proudly fast-tracked over €850 million in loans to entrepreneurs. Our next goal? To scale our data capabilities by making our platform even sharper, ensuring support for the next generation of entrepreneurs

Good. That’s usually how the best data scientists start here at BridgeFund. Apply directly or reach out to Anna-Maria at recruitment@bridgefund.nl. We can’t wait to hear what you're all about!