Internship Financial Engineering (m/f/x)

Job description

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 4 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

  • Contribute to the development of new and innovative portfolio analytics tools (Shiny, Dash, Jupyter notebooks)
  • 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 innovative services that have a substantial impact on the lives of our customers
  • The ability to work with an international, diverse, inclusive, and growing team which loves creating the best products for our clients
  • Enjoy an office in a great location in the middle of Munich, one of Germany’s most attractive cities and the opportunity to work remotely
  • Work productively with the latest hardware and tools
  • Benefit from an attractive compensation package


As a member of our Engineering Team, you have
  • 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

Preferred skills

  • 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)