Data Scientist - Commodities
Qube Research & Technologies - Geneva
Posted Jul 23, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Scientist - Commodities Geneva Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm. Your future role within QRT This team is integral to the firm's success. As such, your responsibilities will include: - Collaborating with the trading desk to design and implement their data pipelines - Collaborating with data engineers to onboard relevant datasets for the desk within QRT - Implementing data transformations to produce high added-value datasets used for investment decisions - Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats - Managing the end-to-end process of onboarding new datasets - Proactively solving data related problems to minimise time to production - Innovating and experimenting with novel data extraction methods to enhance the firm's data onboarding toolkit Your present skillset - 3+ years of experience as a Data Scientist (or similar position);
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