Internship Financial Engineering (m/f/x)

Job description

Founded in 2014, Scalable Capital is a financial technology startup with offices in Munich and London. Our aim is to transform the traditional wealth management industry, making first class investment services available to everyone. Our management team combines deep capital markets experience and e-commerce know-how with decades of academic research into financial markets. Our company has repeatedly been mentioned in the German & UK Press as one of the most promising fintech startups. We've also won an award as "Best German Robo-Advisor 2016" and according to Financial News our smartphone app is one of the "must haves of the fintech age".

Visit our finance or engineering blog to find out what our Expert Team has to say.


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 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

Requirements

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)