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Quant developer - wealth management (m/f/x)

München
Scalable GmbH
Entwickler
Inserat online seit: Veröffentlicht vor 15 Std.
Beschreibung

Job Description


In this role you will be responsible for developing and fully automating a systematic wealth manager (robo advisor) overseeing several billion euros in AuM utilizing multi-asset investment strategies. You will productionize algorithmic models that autonomously react to client requests and market movements utilizing cost-effective burst computations with the capacity to handle millions of trades in minutes. This includes risk, cost and tax optimizations; smart rebalancing customizations; liquidity management; and security transitioning using cleanly defined optimization problems, a cutting-edge stack and painstakingly comprehensive test coverage to confidently deploy without delays.

In addition, you will be responsible for developing a key component of Scalable’s most transformative project: the taxation logic that supports our pan-European growth. A solid working knowledge of the basics of capital taxation is important for this role.

Responsibilities:

* 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)
* Architect and deploy interfaces connecting the Scalable Capital Robo with key internal services to establish seamless connectivity with the external world
* Fully automate trading algorithms driven by pure quantitative evidence that autonomously manage billions in assets
* Support and interact with various stakeholders like the tax core team, investment managers, traders, a dedicated Robo backend team and wealth managers
* Never implement any of the above in spreadsheet tools

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
* A solid working knowledge of the basics of capital taxation
* Passion for the global financial markets
* Experience with convex optimization, exposure to libraries like cvxpy, scipy or cvxopt
* Passion for Python
* Interest in our tech stack: Docker, CI/CD pipelines, serverless architecture, Infrastructure as Code (Terraform), relational databases / SQL
* Experience with cloud providers like AWS
* Excellent communication skills that are clear, concise, and targeted towards your audience
* 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
* Be productive with the latest hardware and tools
* Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
* Learn and experience German culture first hand by joining our free German language classes
* International relocation support is provided if required
* Opportunity to work from abroad
* Benefit from an attractive compensation package and from the company pension scheme
* Monthly contribution of 50% for the ‘Deutschland Jobticket’
* Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
* Enjoy flexible and discounted sports activities with Urban Sports Club

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