Qube Research & Technologies
Data Scientist
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Quantitative Data Scientist – Data Search & Analytics
About Qube Research & Technologies
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. As a technology and data-driven firm, QRT implements a scientific approach to investing, combining data, research, technology, and trading expertise. Collaborative innovation underpins our culture, enabling us to tackle the most complex challenges while delivering high-quality returns for our investors.
About the Role
We are seeking an exceptional Data Scientist to join our Data Search & Analytics team. You will bridge the Research and Trading desks with our Engineering team, ensuring data is leveraged effectively to drive the firm’s success.
Your core responsibilities will include:
- Collaborating with Quantitative Researchers and Traders to design high-quality datasets that inform systematic strategies and discretionary trading decisions
- Prototyping and designing custom pipelines to extract, clean, and aggregate data from raw sources in various formats
- Partnering with Engineering to automate and optimize processes, ensuring robust, scalable data extraction workflows
- Managing the end-to-end onboarding lifecycle of new datasets
- Proactively identifying and resolving data challenges to reduce time to production
- Innovating novel methods for data collection, processing, and enrichment to enhance our analytical capabilities
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Your Qualification Matrix
| - Minimum 3 years of experience as a Data Scientist, Research Scientist, or equivalent position (experience in a buy-side quantitative finance role is highly advantageous)
- Postgraduate degree in a quantitative field such as Mathematics, Physics, or Engineering | - | - Proficient Python development (≥ intermediate-level), including expertise with Pandas, NumPy, and data-rich libraries (e.g., Dask, PySpark for distributed processing)
- Applied finance knowledge—demonstrated interest in markets, traditional/alternative datasets, and quantitative analysis techniques | - | - Demonstrated ability to work with unstructured/unconventional data sources (regulatory filings, satellite imagery, social media, etc.)
- Exceptional collaboration skills, with the ability to navigate across multi-disciplinary teams (technical, numerical, and operational methodologies)
- Ability to thrive in a high-paced, results-oriented environment where SLA adherence and efficient teamwork are paramount | - |
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What Sets QRT Apart
As an equal-opportunity employer, QRT is committed to fostering a diverse and inclusive workplace. We empower employees to work collaboratively, transparently, and respectfully.
Beyond professional and technical challenges, QRT offers initiatives and programs to support:
- Healthy work-life balance
- Cultivating a human-centric work culture
- Support for career growth and continuous learning
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