---
title: 'Data Scientist - Market Data at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/data-scientist-market-data-qube-research-technologies-paris-h06zsfe2vgm1'
type: 'job'
last_seen: '2026-09-26'
---

# Data Scientist - Market Data at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Paris, France
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-26
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8827514002

## Job description

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.

You will work within a data focused function supporting Quantitative Researchers, Traders and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets.

## Your future role within QRT

- Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions
- Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources
- Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery
- Develop and maintain pricing and reference datasets across financial instruments and markets
- Investigate and resolve data quality and production issues to improve the reliability and availability of datasets
- Evaluate and implement new approaches to data extraction, processing and onboarding
- Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change

## Your present skillset

- 2 to 5 years of experience in a data focused role working with financial or market data
- Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets
- Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars
- Experience designing, building and maintaining automated production data pipelines
- Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes
- Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License
- Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline
- Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders
- Ability to operate effectively as priorities, systems, projects and business requirements evolve

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

## About Qube Research & Technologies

## Company Overview
- **One-liner**: Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager that deploys data, research, and technology to execute multi-strategy trading across all asset classes.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: London, United Kingdom
- **Founded**: 2018 (spun off from a systematic trading team at Credit Suisse, with roots tracing to 2016)
- **Founders**: Not publicly disclosed (spun out of Credit Suisse's systematic trading team)

## Core Business
- **Primary industry**: Financial Services / Quantitative Hedge Fund / Systematic Investment Management
- **Target customers**: Institutional investors (pension funds, sovereign wealth funds, endowments, and other large allocators)
- **Mission/purpose**: To combine data, research, technology, and trading expertise to solve complex challenges and deliver high-quality returns for investors.

## Products & Services
- **Multi-Strategy Investment Management**: QRT deploys a diverse range of investment strategies across geographies, asset classes (equities, fixed income, FX, commodities, crypto), and time frames (high-frequency to long-term). They operate as a systematic, data-driven hedge fund.
- **Quantitative Research & Technology Platform**: The firm's core offering is its proprietary technology and research platform, which enables quantitative researchers, data scientists, and software engineers to develop and execute trading models at scale.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held)
- **Key Metric**: Total Funding: Not applicable (privately held, profitable firm). **Assets Under Management (AUM)**: Added $4bn in AUM between the start of 2024 and May 2024, returning 22% from January to April 2024 according to reports.
- **Notable Investors/Partners**: Institutional investors (pension funds, sovereign wealth funds, endowments). Spun off from Credit Suisse's systematic trading team.
- **Growth Signals**: Headcount grew **+56.4% YoY** to 1,787 employees. Expanded to 16 offices across 24 countries (including new offices in Dubai, Chicago, and New York). Over 100 active job openings. AUM grew significantly in 2024.

## Competitive Advantages
- **Data & Technology Moat**: Combines proprietary research, massive datasets, and advanced technology (including machine learning, low-latency C++/FPGA systems, and cloud infrastructure) to generate alpha across all asset classes and timeframes.
- **Multi-Strategy, Multi-Asset Diversification**: Operates across geographies, asset classes, and time horizons, reducing single-strategy risk and allowing capital to flow to the best opportunities.
- **Talent Density & Culture**: Rapidly hires top talent from competitors (Goldman Sachs, Citadel, Millennium, Credit Suisse) and top universities. A young, high-performance culture with 74% of staff aged 40 or under.
- **Compensation Model**: Over 40% of staff are part of a deferred compensation plan with exposure to fund performance, aligning employee incentives directly with investor returns.

## Strategic Focus
- **Aggressive Global Expansion**: Rapidly scaling headcount (+56% YoY) and opening new offices in key financial hubs (Dubai, Chicago, New York, Singapore, Hong Kong).
- **Technology & Infrastructure Investment**: Heavy investment in low-latency trading systems, FPGA engineering, cloud infrastructure, and data platforms (Snowflake, Python, C++, C#).
- **Talent Acquisition**: Prioritizing hiring top quantitative researchers, software engineers, data scientists, and traders from competitors and top universities. Over 100 open roles globally.
- **Crypto & New Asset Classes**: Actively building a crypto trading team and expanding into new asset classes and geographies.

## Why Work Here
- **Compensation & Career Growth**: Highly competitive pay. Interns can earn around $12k per month. Over 40% of staff are in a deferred compensation plan with exposure to fund performance. Glassdoor rating of 4.1/5.0, with compensation (4.0) and career opportunities (4.1) as top highlights.
- **Culture & Demographics**: Young, high-performance culture (74% of staff aged 40 or under, 38% aged 30 or under). 90% of staff reported good team morale in an internal survey. Described as a "fertile ground for experimental research."
- **Work Environment**: Hybrid/office-based depending on role and location. Offices in London (HQ), Paris, Hong Kong, Singapore, New York, Chicago, Dubai, Mumbai, Geneva, and more. New London office in Victoria.
- **Notable Perks**: Deferred compensation plan with fund performance exposure. Interns can earn around $12k per month. Strong focus on work-life balance initiatives.
- **Engineering Culture**: Heavy emphasis on technology (Python, C++, C#, Snowflake, FPGA, low-latency systems, MLflow, Kubernetes). 22% of staff are in Research roles, 6% in Technical roles. Strong support for coding initiatives and academic projects in maths and science.

## Sources
1. [qube-rt.com](https://www.qube-rt.com/)
2. [LinkedIn](https://www.linkedin.com/company/qube-rt)
3. [efinancialcareers-canada.com](https://www.efinancialcareers-canada.com/news/qube-research-and-technologies-hiring-and-culture)
4. [Greenhouse Job Board](http://job-boards.greenhouse.io/quberesearchandtechnologies?page=2)
5. [Careers Page](https://www.qube-rt.com/careers)

## Other roles at Qube Research & Technologies

- [Data Support Engineer](https://feeny.ai/job/data-support-engineer-qube-research-technologies-sydney-dwj6czq8z70e) — Sydney, Australia
- [Energy Trading Full Stack Engineer – Spark](https://feeny.ai/job/energy-trading-full-stack-engineer-spark-qube-research-technologies-london-hv2076vkjwxx) — London, United Kingdom
- [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-qube-research-technologies-hong-kong-r4dqzc7pdhvw) — Hong Kong
- [Quantitative Developer - Python](https://feeny.ai/job/quantitative-developer-python-qube-research-technologies-hong-kong-7g1nw7q4cbea) — Hong Kong
- [Quantitative Developer - Pre/Post-Trade Analytics](https://feeny.ai/job/quantitative-developer-pre-post-trade-analytics-qube-research-technologies-hong-71xb4ta9zcd1) — Hong Kong
- [Academic Partnerships & Research Lead](https://feeny.ai/job/academic-partnerships-research-lead-qube-research-technologies-hong-kong-884km6b2c7je) — Hong Kong
- [Data Support Engineer](https://feeny.ai/job/data-support-engineer-qube-research-technologies-london-3cs2pq896p3c) — London, United Kingdom
- [Unix Platform Engineer](https://feeny.ai/job/unix-platform-engineer-qube-research-technologies-hong-kong-xbb5pd2vjh8s) — Hong Kong
- [Data Platform Engineer – Inventory & Observability](https://feeny.ai/job/data-platform-engineer-inventory-observability-qube-research-technologies-london-3e0x6asmwebv) — London, United Kingdom
- [Cloud Engineer](https://feeny.ai/job/cloud-engineer-qube-research-technologies-hong-kong-q5t12qpw6thz) — Hong Kong