Beschreibung

In this role, you will collaborate with trading and engineering teams to develop and enhance tools that drive business logic. Your day-to-day responsibilities will include building data pipelines, transforming data for accessibility, and ensuring the reliability and scalability of software solutions.

Anforderungen

• •Master’s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or related discipline
• •2–3 years of professional Python development experience
• •Solid computer science knowledge and adaptability to additional languages such as Java, Scala, C++, Go
• •Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow)
• •Proven ability to handle large datasets, architect and optimize data pipelines, and present data effectively
• •Experience with orchestration and containerization tools like Kubernetes and Docker is a plus
• •Solid grounding in calculus, probability, statistics, and optimization; familiarity with machine-learning techniques is beneficial

Aufgaben

• •Collaborate with researchers and engineers on projects
• •Build and maintain research frameworks and data pipelines
• •Transform and present data for traders and researchers
• •Take ownership of product development from requirements to deployment
• •Navigate diverse systems and technologies for informed trade-offs
• •Write reliable and scalable software
• •Implement advanced automated testing and daily deployments

Tools & Technologien