Floryn is one of the fastest growing fintech companies in the Netherlands. We provide credit to businesses. We aim to be the most responsible, scalable and customer-friendly online lender in Europe. Therefore the technology that we build plays an essential role in everything we do. We’ve lent out over € 200 million since inception (2016) and have processed over € 1.5 billion in transaction volume. We do things our own way, we ship code every day and we take pride in our work.
Building great stuff together is what drives us. We develop all our technology in-house, with modern open-source technologies. Quality always comes first. We are with ~50 people, split over Development, Data, Risk, Marketing and Sales. On the technology side we work with experienced people and we like that. The technology we build has a big real-life impact on businesses and people. We are one of the few companies that not only talks about machine learning but has actually implemented it as a key part of our business.
To further strengthen our academic connections and to provide a perfect community for innovation we are located in the same monumental building as the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch, which hosts Bachelor and Master Data Science education tracks and is part of the University of Tilburg and Technical University of Eindhoven.
Work at Floryn
Being a Machine Learning Engineer at Floryn means you consider yourself as a healthy mix between a machine learning expert, a software engineer, a researcher, and a hacker. As part of our Engineering team (20 FTE, incl. 2 Data Scientists), you’ll be working on our Machine Learning models, pipeline, deployment, validation, feature engineering processes, etc. The goal is to make better use of the data we collect, and make sure we deliver the best product as possible to our customers. Our hierarchy is flat and communication is direct, therefore we can operate and adapt quickly. You’ll work closely with the Development, Data, Risk, Marketing and Sales teams to make sure we are building the right thing.
Nice to have:
Benefits that we offer, aside of a good salary for the hours you put into your work are: