In this role you will be responsible for developing a key component of Scalables most transformative project: the taxation logic that supports our pan-European growth.
In addition, you will be involved in fully automating the wealth management 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. You will productionize algorithmic models that autonomously react to client requests and market movements across multiple tax regimes. All of this is carried out on a cutting-edge tech stack.
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).
Drive the development of the next generation tax optimization.
Create 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, react to market movements, and client requests in hundreds of thousands of individual portfolios.
Never implement any of the above in spreadsheet tools.
Support the tax core team, investment managers, trading backend, and wealth management.
Qualifications:
Excellent university degree in computer science, mathematics, natural sciences, or a similar field.
Passion for the global financial markets and for cracking tax challenges.
Knowledge in econometrics with an emphasis on portfolio optimization and risk modeling.
Experience with convex optimization, exposure to libraries like cvxpy, scipy, or cvxopt.
Experience in quantitative modeling and data-driven decisions.
Knowledge of software development and software design in Python.
Exposure and interest in our tech stack: Docker, CI/CD pipelines, Infrastructure as Code (Terraform), relational databases/SQL; knowledge of Java/Kotlin is a plus.
Experience with cloud providers like AWS.
Excellent communication skills that are clear, concise, and targeted towards your audience (engineering, product, or other stakeholders).
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:
Remote Work: Employment Type:
Key Skills