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You will be updated with latest job alerts via emailIn this role you will be responsible for developing a key component of Scalables most transformative project: the taxation logic that supports our panEuropean growth.
In addition you will be involved in fully automating the wealth management algorithms encompassing risk cost and tax optimization in costeffective 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 handson 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 selfsufficient teams continuous integration and deployment test automation cloudbased 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 datadriven 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 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 modelling
Experience with convex optimization exposure to libraries like cvxpy scipy or cvxopt
Experience in quantitative modeling and datadriven 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
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 :
Remote Work :
Yes
Employment Type :
Fulltime
Remote