Financial Data Engineer for Quant Research

Qube Research & Technologies; Paris; On-site; EUR 80,000 - 110,000; Full time

Job summary

Qube Research & Technologies is seeking a data-focused professional to support Quant Researchers, Traders and stakeholders. You will design financial datasets for systematic strategies and build automated pipelines using Python to handle market, pricing and reference data.

You will collaborate across the firm to extract, clean, normalise and consolidate data from a range of market sources, ensuring high data quality and reliable production workflows to support trading decisions.

Qualifications

• 2 to 5 years of experience in a data focused role working with financial or market data.
• Advanced Python programming skills with Pandas or Polars.
• Strong communication skills and ability to collaborate with Quantitative Researchers, Traders and other stakeholders.
• Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline.

Responsibilities

• 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 the 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.

Skills

Python

Pandas

Polars

Data analysis

Data pipelines

Communication

Education

Master's degree in Mathematics, Physics, Engineering, Computer Science or related quantitative discipline

Tools

Bloomberg API

LSEG API

Datastream

DataScope Select

Real Time

BPIPE

Data License

Job description

Qube Research & Technologies is seeking a data-focused professional to support Quant Researchers, Traders and stakeholders. You will design financial datasets for systematic strategies and build automated pipelines using Python to handle market, pricing and reference data.

You will collaborate across the firm to extract, clean, normalise and consolidate data from a range of market sources, ensuring high data quality and reliable production workflows to support trading decisions.