Quant Developer (m/f/x) onsite or remote (in Germany)

Company Description

Scalable Capital is a leading digital investment platform in Europe that makes investing easy and affordable for everyone. Clients of the Scalable Broker can trade 8,000 stocks, 2,500 ETFs, and 3,500 funds and other exchange traded products to build their portfolios, earn interest on their cash balance and take secured loans. People can also have their investments professionally managed via the digital wealth management service. More than one million clients already use the services.

Scalable Capital was founded in 2014 and is active in Germany, Austria, France, Italy, the Netherlands, Spain, and the UK. The investment firm, which is supervised by BaFin and the Bundesbank, has more than 20 billion euros on its platform. In addition to its business for private clients, the company operates B2B solutions. Its long-standing partners include ING, Barclays Bank in the UK, the robo-advisor Oskar, and the Santander Group in Spain. Scalable Capital employs more than 500 people at its offices in Munich, Berlin, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they strive to empower everyone to become an investor.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).

Job Description

In this role you will be responsible for developing and fully automating the trading algorithms, encompassing risk, cost, and tax optimization in cost-effective burst computations with the capacity to handle 1mn trades in 10 minutes for less than €10. In the near to medium term, you will also focus on upgrading our technology for capital taxation and addressing regulatory demands associated with market risk.

Furthermore, you will productionize algorithmic models that autonomously react to client requests and market movements across multiple tax regimes. This involves customizing smart rebalancing, cash-flow management strategies, inventory adjustments, all of this carried out on a cutting edge stack with the capacity to handle hundreds of thousands of individual trading decisions in minutes.

The Quant Development team leverages its knowledge to bring unique insights to clients that are otherwise reserved for institutional investors. For example, the Smart Predict feature, developed by the Quant Development team, offers clients an execution probability for limit and stop orders, generated by a sophisticated machine learning model.

• Develop hands-on in Python alongside a highly motivated team of software engineers and quant developers, driving transformative changes in the financial industry
• Get to work on cutting edge technology and be part of modern software development practices (e.g. agile and self-sufficient teams, continuous integration and deployment, test automation, cloud-based infrastructure and tooling)
• Manage the development of high-performance risk management tools serving regulatory purposes, near-real-time interactive dashboards and alerting systems overlooking the risk exposure in tens of thousands of positions
• Create the next generation wealth management and brokerage services for everybody
• Architect and deploy interfaces connecting the Scalable Capital Robo with key internal services to establish seamless connectivity with the external world
• Contribute and develop data-driven ideas aimed at generating business value
• Drive continuous improvements of data pipelines with respect to requirements and platform dependencies
• Fully automate trading algorithms driven by pure quantitative evidence that autonomously manage billions in assets
• Bridge the worlds of engineering and science by productionizing econometric models that react to market movements and client requests in hundreds of thousands of individual portfolios
• Never implement any of the above in spreadsheet tools
• Support investment managers, trading, backend, wealth management, risk

Qualifications

• Excellent university degree in computer science, mathematics, natural sciences, or a similar field
• Knowledge in econometrics with an emphasis on portfolio optimization and risk modelling
• Passion for the global financial markets
• Experience with convex optimization, exposure to libraries like cvxpy, scipy or cvxopt
• Experience in quantitative modeling and data-driven decisions
• Exposure and interest in our tech stack: Python, Docker, CI/CD pipelines, Infrastructure as Code (Terraform), SQL
• Experience with cloud providers like AWS
• Knowledge of software development and software design in Python
• Excellent communication skills that are clear, concise, and targeted towards your audience - engineering, product, or other stakeholders
• Knowledge of relational databases / SQL
• Fluent English language skills (written & spoken)
• Proactive and independent working style, good time management, fair play

We would be happy if you write to us in the "message to the Hiring Manager" section about what excites you about the role and why you think you would be a great fit! Applications without such motivation will not be considered.

Additional Information

• 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
• Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
• Enjoy an office in a great location in the middle of Munich, Berlin or Vienna, or choose to work remotely within Germany or Austria (if eligible for the job)
• Be productive with the latest hardware and tools
• Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget