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 54% 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
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 prefer building over talking. 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 and own predictive risk models (PD, churn, stress testing)
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Analyze drivers of risk and performance and translate insights into improvements
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Design and validate features that make models more robust and explainable
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Work with engineers to bring models into production and keep them running smoothly
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Translate insights into clear, data-driven decisions for stakeholders
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Stay sharp on trends, regulations and new modelling techniques
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As a senior you will, coach junior team members and help the team grow
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Senior experience as a Data Scientist or Credit Risk Modeller in a bank, fintech or lending company.
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Proven experience building and owning credit risk models (e.g. PD, LGD, loan capacity, portfolio models).
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Strong skills in Python and SQL.
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Experience taking models from data to production and embedding them in real credit decisions (acceptance, pricing, credit limits).
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Strong understanding of lending portfolios and the growth vs risk trade-off, with experience contributing to risk appetite & portfolio steering.
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Comfortable working with engineers, analysts and risk stakeholders in a cross-functional environment.
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Business-driven: able to link models and analyses to approval rate, losses, margin and portfolio performance.
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Structured, proactive and able to take ownership in a fast-growing scale-up environment.
The BridgeFund community is exceptional because we respect one another, care deeply about each other and work toward the same goals: driving innovation and improving through data and automation. You’ll have the freedom to grow, learn, and enjoy what you do. And because success means more when you share it, we make sure you’ve got everything you need to thrive.
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Salary between €6.900 and €8.500 based on 40 hours per week
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6% pension via ASR Doen Pensioen
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25 paid vacation days and 8% holiday allowance
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Travel allowance of €0.23 per kilometer (even if you cycle)
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€40 Alleo budget per month for things like TrainMore, Uber, or a day out
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Bridge Day: one extra day off for something that matters to you
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Company boat The Royal Ted for team events or private use
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Sports activities such as boxing classes and a running club
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50% paid lunches
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Friday drinks, quarterly parties, and team outings
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Two weeks per year of remote work from abroad
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Modern workspace with a MacBook, open areas, quiet zones, and zero ceiling tiles
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BridgeFun(d) bar with DJ booth, stage, and karaoke
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Free snacks: healthy and not-so-healthy
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BridgeFund Academy for personal growth, learning, and coaching
Good. That’s usually how the best data scientists start here at BridgeFund. Apply directly or reach out to Anna Maria at [email protected]. We can’t wait to hear what you're all about!
