Salary: CHF 130'000 - 170'000 per year Requirements: • 3 years of experience in a data science or applied data role within quantitative finance • Strong programming skills in Python and core data libraries (e.g. Pandas, NumPy) • Experience working with both traditional and alternative financial datasets • Postgraduate degree in a quantitative field (e.g. Mathematics, Physics, Engineering) • Excellent communication skills and ability to collaborate with trading, research, and engineering teams Responsibilities: • Collaborate with trading and research teams to design and maintain data pipelines • Partner with engineers to onboard and scale new datasets • Transform raw inputs into clean, high-value datasets for investment use • Build tooling for data extraction, validation, and enrichment • Manage dataset onboarding from discovery to deployment • Explore novel data extraction and processing methods to enhance analysis capabilities Technologies: Support Python numpy pandas More: This role sits at the intersection of data, research, and trading. You’ll join a collaborative, fast-moving environment where precision, ownership, and experimentation are encouraged. The focus is on delivering high-quality datasets that directly support investment strategies and real-world decisions. last updated 11 week of 2026