Job Description

At Trade Republic, safeguarding our customers and fortifying our company against malicious actors isn't just a goal - it's an imperative.

Our Fincrime team leads the charge in proactively preventing, detecting, and halting any form of exploitation aimed at our products or our valued clientele. To achieve this, we recognize that data isn't just a resource - it's a cornerstone.

As a Senior Data Scientist on our Fincrime team, you're not just another cog in the machine. You are an integral part of a tight-knit team that truly owns the services and technical products it develops. You won't just build and maintain data products; you will have end-to-end ownership of them. This goes beyond mere maintenance or feature updates; it's about being fully accountable for your products' lifecycle - from ideation and scoping with product managers to final integration and ongoing evaluation with our engineering teams.

Please note that the position will either be based in London or Berlin, depending on your availability.

What you'll do

• Own the Roadmap: Plan and execute the roadmap for your services together with the team
• Architectural Influence: Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms.
• Technical Excellence: 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.
• Technical Leadership: Serve as a mentor to other engineers and establish yourself as a subject-matter expert within the team, lending your expertise to solve deeply complex issues in the fintech security landscape.
• Accountability and Monitoring : Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise results.

What we expect from you

We are aware that everyone has their individual strengths and weaknesses. The one thing where we don’t compromise is joy for our work and dedication to our shared mission. If you feel you are not ticking all the boxes below, but have a good general feeling about most of them, we would be very happy to talk!

• We recommend you have 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
• Strong business acumen in the areas of finance and product
• Exceptional interpersonal and communication skills, both with engineers and business stakeholders
• 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

What we offer

At Trade Republic you will get to do the best work of your career. We are a destination for people who are exceptional at what they do. Every day, we strive to build a world-class team and provide the space for people to do their best. We have a relentless ambition of raising the bar and expect the best from ourselves. Through our dedicated people-first management approach and transparent career paths, you will have the opportunity to develop and grow your career like never before. And because you are surrounded by a diverse team of high performers, you will be learning every day.

You will play an important role in fixing one of the largest challenges we face - closing the pension gap and democratizing wealth. Trade Republic is a place where your job, your career and your passions intersect. If this gets you fired up, just like it does for all of us at Trade Republic, then reach out!