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

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Requirements:

• 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.
• Experience with convex optimization and exposure to libraries like cvxpy, scipy or cvxopt.
• Exposure to tech stack: Python, Docker, CI/CD, Infrastructure as Code (Terraform), SQL.
• Experience with cloud providers like AWS.
• Knowledge of software development/design in Python and relational databases/SQL.
• Fluent in English with strong communication skills.
• Proactive and independent working style.

Responsibilities:

• Develop and fully automate trading algorithms focusing on risk, cost, tax optimization.
• Productionize algorithmic models that respond to client requests and market movements.
• Create high-performance risk management tools and interactive dashboards.
• Architect interfaces connecting services and generate data-driven business value.
• Completely automate algorithms that manage billions in assets.
• Productionize econometric models for portfolio management.