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A leading company in the financial technology sector is looking for a skilled Data Scientist. This role involves managing data knowledge gathering processes, developing predictive models, and communicating insights to a diverse set of stakeholders. Candidates should possess strong analytical skills and proficiency in Python and SQL, with an interest in financial markets.
Work Location: Berlin or Amsterdam
Are you a skilled Python and SQL user with a strong analytical background and experience in crafting top-shelf prediction models? You are passionate about uncovering insights within data and applying them to real-world financial challenges? Then you might just be the Data Scientist we're looking for!
Your primary responsibilities will be:
What we're looking for:
What we offer:
About us:
LYNX helps you invest in yourself. Working at LYNX means joining the LYNX family. The development opportunities make LYNX the best place to work. This is what the employees say about LYNX, and it is exactly what we want to offer: a work environment where you can get the best out of yourself. At our offices in Amsterdam, Ghent, Berlin, and Prague, we work every day to offer both private and professional clients the best trading opportunities, with a fast, user-friendly, and reliable trading platform.
The best choice for anyone who takes investing seriously:
LYNX is an international FinTech that offers a relaxed and informal work environment, where you can get the best out of yourself and where 300 people contribute together to the success of our customers since 2006.
In 2006, LYNX entered the investor market with two key features: very low rates and an extensive product range. This makes the online broker successful not only in the Netherlands but also abroad. After opening offices in Belgium, Germany, and the Czech Republic, LYNX now offers its services in ten countries, making it a European broker of size.
In 2019, LYNX greatly enhanced its product offerings for investors, including a highly advanced mobile and tablet app, weekly webinars via the Knowledge Portal, and the Morning Call for daily market updates.