Team Lead - Quant Development (m/f/x) onsite or remote (in Germany)

Company Description

Scalable Capital is a leading digital investment platform in Europe.
Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, Scalable Wealth, Scalable Crypto and our solutions for B2B partners we offer easy and cost efficient investing for everyone.
Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 15 billion Euros on our platform.

Visit our finance blog or tune in to our podcast (both in German) 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

Lead a team responsible for developing and fully automating the trading algorithms, encompassing risk, cost, and tax optimization. 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 with cost-effective burst computing 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. The team's diverse profile is enhanced by a profound understanding of capital taxation and regulatory requirements related to market risk.

• Empower and manage a high-performing Quant Development team, consisting of great, functioning people and help them become the best versions of themselves
• Develop hands-on in Python alongside a highly motivated team of software engineers and quant developers, driving transformative changes in the financial industry
• Engage with cutting-edge technology and participate in modern software development practices, such as agile and self-sufficient teams, continuous integration and deployment, test automation, and 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
• Solid 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
• Advanced knowledge of relational databases / SQL
• Fluent English language skills (written & spoken)
• Proactive and independent workstyle, 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! Applicatio