BridgeFund

Data Scientist | Risk Modelling

Job description

BridgeFund is seeking a proactive Data Scientist with experience in the Risk domain to join our team. Your primary focus will be to develop innovative risk models that calculate credit risk and help construct a healthy portfolio.


What will you do?

You will play a vital role in the financial health and growth of BridgeFund by building models that predict the credit risk that is associated with a borrower. By developing and implementing risk models, you will help our fast-growing FinTech company accurately predict default probabilities, assess customer creditworthiness, and devise effective risk management strategies. Your work will directly influence our ability to create a healthy loan portfolio and maintain financial stability. You'll also collaborate with various departments to ensure our risk models are aligned with overall business strategies and regulatory requirements.


What you will do:

  • Analyse large and complex datasets to develop and continuously improve the aforementioned models
  • Utilize machine learning and statistical modelling techniques
  • Identify (external and internal hidden) datasets that potentially enhance BridgeFund’s risk models
  • Collaborate with various teams to integrate risk models into lending decisioning processes and monitor their performance
  • Keep abreast of industry trends, regulations, and best practices in risk modelling
  • Communicate complex risk findings and insights to both technical and non-technical stakeholders
  • Stress our existing portfolio and give insights in the financial health of the organization
  • Constructs a healthy portfolio where credit risks are managed and within our limits
  • Provide best-in-class strategies to collect delinquent debt


What we offer:

A fun, challenging position at an ambitious FinTech scale-up in a fast-growing environment. No day is the same. You'll have a lot of freedom and responsibility, allowing you to develop quickly and make a real impact on the organization.

  • 26 vacation days; plenty of time to recharge.
  • Your pension is well arranged with ASR, +4% on your gross salary.
  • You receive €0.21 per kilometer for travel expenses, even if you come by bike.
  • Uber(Eats), ClassPass, or Felyx credit? Customize your secondary benefits with €40 YourCampus credit per month.
  • We consider your development super important. That's why we offer individual training as well as team training.
  • A super funky office in Amsterdam, near Amstel station. No cubicles or drop ceilings here.
  • We throw the coolest parties and drinks every quarter. We celebrate our successes together.
  • Skiing trips or partying in Berlin. You won't want to miss our fully paid trips abroad.
  • A good fixed workspace. You'll get a MacBook and two monitors from us. We also have standing desks if you prefer.
  • A place where you feel at home and everyone can be themselves.


Our Culture:

What makes us unique is our culture. This is also one of the main reasons why we are growing so rapidly. We share the same mindset. We are a close-knit team of driven, ambitious people who want to disrupt the financial world. We are true entrepreneurs. You can feel it in our workplace. We work hard, but we also celebrate our successes in a big way together. Hierarchy is a difficult word for us, and we only do top-down when we go skiing together. We ask critical questions, give honest feedback, and are not afraid to fail occasionally, because failure means learning, and learning means growth.


What we can learn form you:

Your expertise in statistical modelling, machine learning, and data analysis will provide valuable insights that enhance our risk management capabilities. You'll bring innovative ideas and best practices to the table, pushing the boundaries of our current methodologies. Your expertise in statistical modelling, data science and machine learning will help us build a rock-solid Risk Modelling framework and provide valuable insights to enhance our Risk Management capabilities. Most importantly, your proactive approach and creative problem-solving skills will inspire continuous improvement and innovation within our team. Additionally, you won't shy away from sharing your results and ideas with stakeholders, ensuring that everyone is aligned and informed.


What we expect from you:

  • Minimum 3-5 years of experience in a successful Data Science within the risk domain
  • Proficiency in data analysis, machine learning, and statistical modelling techniques.
  • Strong experience with Python and its data science libraries (e.g., numpy, Pandas, scikit-learn, XGboost).
  • Familiarity with Open Banking and its applications in risk assessment.
  • Excellent communication and presentation skills; ability to convey complex risk insights to a diverse audience
  • Proven track record of successfully developing and implementing risk models in a financial services context


About BridgeFund: a FinTech scale-up on a mission

BridgeFund, founded in 2018 in Amsterdam, is a club of headstrong and sometimes a little impatient go-getters who want to make social impact. A group of 90 ambitious, positive rebels. A group that works hard, but doesn't take itself too seriously. A team of like-minded people, committed to the same mission: to show that a bank-free world is easier, more efficient, fairer and therefore more fun. What we do. Build a digital bridge between idle capital of successful entrepreneurs and working capital for ambitious entrepreneurs. Through smart technology, we analyze a company's financial data at lightning speed and carefully to determine the maximum amount an entrepreneur can borrow responsibly. On the other hand, we have investors who make all this possible! And together, we are moving the Netherlands forward.


Dear agencies: if we need external recruiters to help us fill vacancies, it will be through HirePort. Through this form, you can register yourself there as an external recruiter: https://hireport.nl/bridgefund/. That also means you don’t have to call me or a hiring manager! :)

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.