Quantitative Researcher/Trader

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• 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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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

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

Quantitative Researcher/Trader Singapore/Hong Kong/Shanghai 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 our 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. Your future role within QRT - Your core objective is to create high quality predictive signals - By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities - Share and discuss research results, methodology, data sets and processes with other researchers - Implement the signals and the relevant datasets within the global execution platform - Monitor signal behaviour and model performance over time - You would lead the full strategy research cycle from signal generation to implementation Your present skillset - Direct experience as a quant researcher or trader, or in data science/machine learning space. - Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead. - Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering - Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus - Capacity to multi-task in a fast paced environment while keeping strong attention to detail - Coding skills required in at least one leading programing language (Python, R,

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