Senior Data Scientist - FinCrime

Please note that this position is based in Berlin, Germany - relocation support is provided if required. 

BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +4 million customers who trusted us with over 35B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU'LL BE DOING

Our FinCrime team leads the charge in proactively preventing, detecting, and halting any form of exploitation aimed at our products or customers. To achieve this, we recognise that data isn't just a resource - it's a cornerstone. In this role you will:

• Plan and execute the roadmap for your services together with the team
• Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms
• Research, build, test and deploy models - this is where you will spend most of your time. With a focus on team ownership, this gives a lot of time for our developers and data scientists to actually work technically instead of with process
• Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise result

WHAT WE'RE LOOKING FOR

• at least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
• Experience working in the Financial domain, specifically significant experience in Anti Financial Crime is a must
• Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
• Strong command of SQL, Python together with its scientific stack (numpy, pandas, matplotlib, scikit-learn)
• Good understanding of Software Engineering practices (e.g. test-driven development, OOP, CI/CD, etc.) and experience with productionizing ML products

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!