Data Scientist - Commodities
On-site · Genève, Geneva, Switzerland
Job Summary
Data Scientist to join Qube Research & Technologies’ Data Search & Analytics team, collaborating with Research, Trading, and Engineering to design and implement data pipelines, onboard relevant datasets, and develop high-value data transformations for investment decisions. Responsibilities include prototyping code to extract, clean, and aggregate data from diverse sources, managing end-to-end dataset onboarding, solving data-related production issues, and innovating data extraction methods to enhance the firm’s onboarding toolkit. Requires 3+ years in a data science role, postgraduate quantitative degree, strong Python data-handling skills (Pandas, NumPy), and a passion for financial markets; ability to collaborate with researchers, traders, engineers, management, and vendors in a fast-paced, high-performance environment.
Required Qualifications
- 3+ years of experience as a Data Scientist (or similar position)
- Postgraduate degree in Mathematics, Physics or Engineering
- Advanced programming experience in Python, including Pandas and NumPy
- Demonstrable interest in financial markets and the application of data in its analysis
- Experience working with traditional and alternative financial datasets
- Excellent communication skills and ability to collaborate with researchers, traders, engineers, management, and external vendors
- Ability to work in a high-performance, high-velocity environment
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