Financial Data Scientist — Pipelines & Market Data

Qube Research & Technologies; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Qube Research & Technologies is seeking a data-focused role supporting Quantitative Researchers, Traders and stakeholders across the firm. You will design and develop financial datasets, combining market data knowledge with Python to build automated production pipelines that create and maintain these datasets.

You will collaborate with researchers and traders to extract, clean, and aggregate data from multiple sources, design and maintain pricing and reference datasets, and resolve data quality

Qualifications

• 2–5 years of experience in a data-focused role working with financial or market data.
• Strong understanding of financial markets and instruments and pricing/reference datasets.
• Advanced Python programming skills with Pandas or Polars for data processing.
• Experience designing, building and maintaining automated production data pipelines.
• Ability to investigate data quality issues and understand root causes.
• Excellent communication and collaboration with Researchers, Traders and stakeholders.

Responsabilités

• Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions.
• Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources.
• Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery.
• Develop and maintain pricing and reference datasets across financial instruments and markets.
• Investigate and resolve data quality and production issues to improve reliability and availability of datasets.
• Evaluate and implement new approaches to data extraction, processing and onboarding.
• Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change.

Connaissances

Strong data analysis

Data wrangling

Problem solving

Collaboration

Communication

Formation

Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline

Outils

Python

Pandas

Polars

Bloomberg API

LSEG API / DataScope Select

Description du poste

Qube Research & Technologies is seeking a data-focused role supporting Quantitative Researchers, Traders and stakeholders across the firm. You will design and develop financial datasets, combining market data knowledge with Python to build automated production pipelines that create and maintain these datasets.

You will collaborate with researchers and traders to extract, clean, and aggregate data from multiple sources, design and maintain pricing and reference datasets, and resolve data quality