Data Scientist, Market Data & Pipelines

Qube Research & Technologies; England; On-site; GBP 60,000 - 90,000; Full time

Job summary

Qube Research & Technologies is seeking a data-focused professional to support Quant Researchers, Traders and stakeholders across the firm. The role centers on designing and developing financial datasets and building automated production pipelines with Python, to support systematic strategies and trading decisions.

You will own data workflows, clean and normalise data, and ensure high data quality across pricing and reference datasets.

Qualifications

• 2–5 years of experience in a data focused role working with financial or market data.
• Experience in financial datasets design, extraction, cleaning and normalization.
• Strong foundations in Python data processing libraries and data quality.

Responsibilities

• Design financial datasets to support systematic trading decisions.
• Develop Python code to extract, clean, normalize and aggregate data from market sources.
• Build and maintain automated data pipelines for sourcing, transformation, validation and delivery.
• Develop and maintain pricing and reference datasets across instruments and markets.
• Investigate data quality issues and improve reliability of datasets.

Skills

Python programming

Pandas/Polars

Data pipelines

Data analysis

Cross-functional collaboration

Problem solving

Communication skills

Market data knowledge

Education

Postgraduate degree

Tools

Bloomberg

LSEG Datastream

DataScope

Real Time

Job description

Qube Research & Technologies is seeking a data-focused professional to support Quant Researchers, Traders and stakeholders across the firm. The role centers on designing and developing financial datasets and building automated production pipelines with Python, to support systematic strategies and trading decisions.

You will own data workflows, clean and normalise data, and ensure high data quality across pricing and reference datasets.