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# Data Scientist

- **Company:** Qube Research & Technologies (qrt)
- **Location:** France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), NumPy, Data Processing, Pandas, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/data-scientist-options-qube-research-technologies-8564203

## About the Role

* 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.

## 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.


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