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

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