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Data Scientist

Reads like a Data Engineer role: pipelines and data infrastructure.

Paris

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Source, design and onboard new datasets based on trading desk priorities

  • Manage data sourcing projects from acquisition and engineering to production

  • Become an expert on internal tools and use data in production trading systems

  • Proactively solve data problems to reduce time to production

From the employer’s posting
Sourcing, designing and onboarding new datasets according to trading desks’ priorities
Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production
Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
Proactively solving data related problems in order to minimise time to production

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience as a Data Scientist or similar
  • Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering
  • Advanced Python programming, including Pandas and NumPy
  • Experience with traditional and alternative financial datasets
  • Excellent communication and collaboration with researchers, traders, engineers and vendors
Qualification wording
3+ years of experience as a Data Scientist (or similar position)
Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
Experience working with both traditional and alternative financial datasets
Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors

Tools in this posting

  • Python
  • NumPy
  • pandas
Source — Tool mentions in context
- Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. - Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy - Demonstratable interest in financial markets and the application of data in its analysis and understanding

Posting record

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Open 6 monthsWe first saw this posting 199 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 16, 2026 · 199 days ago
Recorded sightings
232
Last seen by us
Oct 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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 directly with the Research and Trading desks to improve their productivity and efficiency.  

Your future role within QRT  

This team is integral to the firm’s success. As such, your responsibilities will include:  

  • Sourcing, designing and onboarding new datasets according to trading desks’ priorities  
  • Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems  
  • Proactively solving data related problems in order to minimise time to production  
  • Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production  

Your present skillset  

  • 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
  • Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
  • Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
  • Demonstratable interest in financial markets and the application of data in its analysis and understanding
  • Experience working with both traditional and alternative financial datasets
  • Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
  • Ability to work in a high-performance, high-velocity environment

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.

Source details

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Pay

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Location & working pattern

Paris

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