Data Scientist

Qube Research & Technologies (qrt)
France
2 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Python (Programming Language) NumPy Data Processing Pandas Data Pipelines

Job description

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.

Requirements

  • 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.

Benefits & conditions

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 the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · World Congress 2021

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

Videos

See all

Related articles

See all