Data Scientist - Quantitative Finance

• 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.

• 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

Salary: CHF 130'000 - 170'000 per year