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Data Scientist - Options

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, evaluate and onboard datasets for options and derivatives research

  • Translate researcher and trader data needs into scalable data solutions

  • Build and maintain data pipelines for options datasets

  • Improve QRT's internal data platform and tooling

  • Find ways to expand data coverage, quality and efficiency for Options

From the employer’s posting
Source, evaluate and onboard datasets relevant to options and derivatives research.
Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions.
Build and maintain robust data pipelines, ensuring the quality, consistency and timeliness of options-related datasets.
contribute to improving QRT's internal data platform and tooling
Proactively identify opportunities to enhance data coverage, quality and operational efficiency for the Options business.

Tools in this posting

  • Python
  • NumPy
  • pandas
Source — Tool mentions in context
- Experience working with financial market data; exposure to options, derivatives or volatility data is a strong advantage. - Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy. - Experience building data pipelines and working with large-scale structured and time-series datasets.

Posting record

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Open 4 monthsWe first saw this posting 123 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
Jun 30, 2026 · 123 days ago
Recorded sightings
102
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.

Your future role within QRT:

As part of the Data Search & Analytics team, you will support one of QRT's Options trading streams, working closely with quantitative researchers and traders to source, curate and deliver high-quality data that powers systematic options research and trading.

In addition to the core responsibilities outlined above, you will:

  • Source, evaluate and onboard datasets relevant to options and derivatives research.
  • Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions.
  • Build and maintain robust data pipelines, ensuring the quality, consistency and timeliness of options-related datasets.
  • Develop a strong understanding of options market data and contribute to improving QRT's internal data platform and tooling.
  • Proactively identify opportunities to enhance data coverage, quality and operational efficiency for the Options business.

Your present skillset:

  • 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role; experience supporting quantitative research or trading teams is advantageous.
  • Experience working with financial market data; exposure to options, derivatives or volatility data is a strong advantage.
  • Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy.
  • Experience building data pipelines and working with large-scale structured and time-series datasets.
  • Demonstrated interest in financial markets and the application of data to quantitative research and trading.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively with researchers, traders, engineers and external data vendors.
  • Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously.

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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Location & working pattern

Paris

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