Graduate Program - Quantitative Investing Track

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.


The Scalable Capital Graduate Program is a great opportunity to start your career in digital finance. It’s specifically designed for graduates, post-graduates and young professionals who want to work on technology-driven financial products, while continuing to learn. Our unique FinTech startup environment allows you to take on responsibility right from the start and develop your career quickly.

The program at a glance

  • Twelve months program: 3 rotations of 4 months each
  • Choose your desired track: Product Management, Investment Management, Quantitative Investing or Software Engineering
  • Enroll in track-specific trainings and obtain recognised certifications
  • Participate in extracurricular activities and events
  • Connect with your program buddy, plan your next steps with your mentor and build a valuable network across teams
  • After one year you will be well equipped to excel in your first off-program job and help to shape the future of investing.

If your passion is at the intersection of technology, finance and digital products and you want to kickstart your career, the Scalable Capital Graduate Program is just right for you.

Quantitative Investing Track

Participating in the Quantitative Investing Track of the Scalable Capital Graduate Program prepares you for a career in our Quantitative Investment and Financial Engineering teams.

Become a Quantitative Strategist and member of the Scalable Capital Investment Committee. Investigate global financial markets, develop systematic trading strategies and use state-of-the-art technology to manage scalable investment solutions for thousands of clients’ portfolios. Contribute to the Scalable Capital Risk Management technology and bring innovative and data driven trading strategies to life with minimum costs under real world frictions like trading costs and taxes.

Rotation 1: Quantitative Investment Strategy

What are you going to do

Start your program in our Quantitative Investment Strategy team: Get to know Scalable Capital’s Risk Management technology and our Research and Analytics Platform. Explore global financial market data in quantitative research projects, automate your data analyses with a cutting edge tech stack and share your findings with the world in our Quant’s Perspective research blog.

What are you going to learn

Deep dive into the modeling of financial market data and systematic investing. Become proficient in building scalable and automated data analyses using a state-of-the-art tech stack (Python, SQL, AWS, Jupyter, Dash, automated job scheduling, serverless computing).

Rotation 2: Financial Engineering

What are you going to do

You will develop fully automated trading algorithms that manage billions in assets driven by pure quantitative evidence. Development of discretionary and b2b wealth allocation models including risk, cost and tax optimization will be part of your daily challenges. You will customize smart rebalancing and cash-flow management strategies across multiple tax regimes in a serverless architecture. You will develop interactive web dashboards for trade monitoring, historical analysis and model validation.

What are you going to learn

You will learn how to bridge the gap between research and practice by productionizing econometric models that autonomously react to market movements and client requests in tens of thousands of individual portfolios. You will learn how to apply best practices in software development and seamlessly integrate production level software into the R&D environment. You will understand agile, learn how to deliver scientific ideas fast and benefit from a working culture in which the best ideas win.

Rotation 3: Capital Markets

What are you going to do

You will actively support the daily execution of trades from both b2c and b2b projects with two digit € million trade sizes each day. Conduct and improve trading analyses such as actually paid bid-ask spreads, fx impact, market moves and fair price assessments. Research across all asset classes potentially replicated by ETFs within the Scalable universe, focussing on ETF specific criteria (costs, tax implication, liquidity, etc., sec. lending) as well as index characteristics.

What are you going to learn

You will understand the whole spectrum on how to analyze ETFs and trade such financial products. Understand which factors can have effects on different markets intraday, and how orders are conducted prudently.


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 and your individual Education Package
  • Enjoy numerous startup perks
  • Work productively with the latest hardware and tools
  • Benefit from an attractive compensation package
  • Learn about the german culture and join our free german language courses

Requirements

  • Excellent university degree in a quantitative discipline (e.g. statistics, financial mathematics, computational finance, engineering or a similar field)
  • Experience from internships in the area of quantitative investing, software engineering, investment management and/or data science
  • A strong knowledge in econometrics, statistical sciences and stochastic methods as well as risk theory with an emphasis on portfolio optimization
  • Previous projects involving software development, software design, relational databases and version control software
  • Familiarity with financial market data (e.g. Bloomberg, CRSP, FRED)
  • Willingness to invest into personal learning and career development outside of work
  • Fluent English language skills (written & spoken)