Data Scientist: Financial Data Pipelines for Quant

Quberesearchandtechnologies; Paris; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Qube Research & Technologies (QRT) is seeking a data-focused professional to help design and develop financial datasets that support systematic strategies and trading decisions. You will build automated pipelines, extract and normalize market data, and maintain pricing and reference datasets across instruments and markets.

The role requires strong Python skills, experience with Pandas/Polars, and a postgraduate quantitative degree.

Qualifications

• 2 to 5 years of experience in a data focused role working with financial or market data.
• Strong understanding of financial markets and instruments, including pricing and reference datasets.
• Advanced Python programming skills with data processing libraries (Pandas/Polars).
• Experience designing, building and maintaining automated production data pipelines.
• Strong data analysis and problem solving to investigate data quality issues.

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 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

Python programming

Pandas/Polars

Data pipelines

Financial market data

Data quality issues

Bloomberg/LSEG APIs

Postgraduate degree

Collaboration

Prioritization

Formation

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

Outils

Datastream

DataScope Select

Real Time

BPIPE

Data License

Description du poste

Qube Research & Technologies (QRT) is seeking a data-focused professional to help design and develop financial datasets that support systematic strategies and trading decisions. You will build automated pipelines, extract and normalize market data, and maintain pricing and reference datasets across instruments and markets.

The role requires strong Python skills, experience with Pandas/Polars, and a postgraduate quantitative degree.