Scalable Capital was founded in 2014, entering the FinTech industry with the aim of democratizing investment management and brokerage. Our mission is to use modern technology to make investments both easier and more affordable. Today, Scalable Capital is Europe's largest digital asset manager with assets valued over 2 billion Euros under management, a neo-broker for independent decision makers, and a European leader in providing B2B digital asset management platform solutions. Visit our finance blog or tune in for our podcast to find out what our Expert Team has to say.
If you are looking for scalability in your professional career, join us in re-defining how investors think about wealth creation and in making first class investment services available to everyone.
As a member of our Engineering Team, you
Support research on model validation, stress-testing and documentation
Contribute to the improvement and automation of market data analytics and delivery
Work alongside and learn from people with many years of experience in the financial sector
Support investment managers, trading and backend IT-implementation
What we offer
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating an innovative service that has a substantial impact on the lives of our customers
Work with an international and growing team with past careers at large (financial) institutions such as Goldman Sachs, Google, Westwing or BlackRock
Enjoy an office in a great location in the middle of Munich, one of Germany’s most attractive cities
Learn and grow by joining our in-house knowledge sharing sessions
Enjoy numerous startup perks
Work productively with the latest hardware and tools
Excellent academic background in a quantitative discipline (statistics, financial mathematics, computational finance, engineering, physics or a similar field)
Experience in Python
Strong knowledge in data science, statistical modelling and data visualization
Solid knowledge of version control software, software development and software design
Experience in Relational Databases / SQL and Python
Experience with R Shiny or Dash
Experience in R, Java, Matlab or Julia.
Proactive and independent workstyle, good time management, fair play.
Passion for the global financial markets.
Fluency in English (written & spoken)