Crypto - Quantitative Trader
Qube Research & Technologies - Singapore
Posted Apr 30, 2026
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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- Verification
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- Salary
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Schedule
- Shift type
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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
Crypto - Quantitative Trader Singapore 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. Join our Digital Asset Team and play a key role in our global expansion, contributing to the development and management of our trading systems, strategies, and capabilities. Your future role within QRT: - Active trading and monitoring of cryptocurrencies, ensuring continuous coverage of positions, strategies, and all associated risks. - Performance oversight of signals and execution strategies, identifying anomalies and driving improvements over time. - Collaboration and knowledge sharing with fellow traders and researchers, contributing insights on production results, methodologies, and data-driven processes. - Market vigilance with some weekend and late-shift coverage as part of a shared responsibility to ensure seamless 24/7 market monitoring, supported by tailored benefits. Your present skillset: - Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. - Coding skills required in at least one leading programming language, Python preferred. - Experience in exploring large datasets across multiple time frames is a plus. - Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
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