Data Scientist - Options Data & Pipelines

Qube Research & Technologies; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Qube Research & Technologies is seeking a data-focused professional to support its Options trading stream. You will source, curate and deliver high-quality datasets to power quantitative research and trading across global markets.

You will work with researchers and traders to translate data requirements into scalable solutions, build robust pipelines and continuously improve data coverage and quality in a fast-paced environment.

Qualifications

• 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role.
• Experience working with financial market data; exposure to options, derivatives or volatility data is advantageous.
• Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy.

Responsabilités

• 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.

Connaissances

Python

Pandas

NumPy

Data pipelines

Time-series

Financial markets

Stakeholder mgmt

Description du poste

Qube Research & Technologies is seeking a data-focused professional to support its Options trading stream. You will source, curate and deliver high-quality datasets to power quantitative research and trading across global markets.

You will work with researchers and traders to translate data requirements into scalable solutions, build robust pipelines and continuously improve data coverage and quality in a fast-paced environment.