Python Software Engineer

Onsite role based in Greater Zurich Area, with limited remote flexibility. You'll join a high-performance, collaborative team at the cutting edge of data-driven decision-making, working closely with researchers and domain experts. Fast feedback loops and a flat structure with an open, knowledge-sharing culture. Competitive compensation in line with the demands of the role.

Requirements

Master's or PhD in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related quantitative discipline

2-3 years of professional Python development experience, with hands-on use of scientific libraries (Polars, Pandas, NumPy, SciPy, or similar)

Proven ability to handle large datasets, architect and optimise data pipelines, and present data clearly to non-technical stakeholders

Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine learning techniques

Strong computer science fundamentals with the ability to adapt to additional languages

Responsibilities

Build, maintain, and enhance research frameworks and data pipelines that support analytical and quantitative workflows

Develop analysis and visualisation tools in close collaboration with domain experts and researchers who rely on them daily

Own end-to-end product development - from requirements gathering through to production deployment

Navigate complex, multi-system environments making informed trade-offs between throughput, simplicity, scalability, and maintainability