Data Developer - Fixed Income Electronic Trading

Join a leading financial institution as a Data Developer, building robust data pipelines and advanced analytics tools to enhance trading strategies. This role blends data engineering and data science in a dynamic trading floor setting.

Client Details

Our client is a global financial services organisation with a strong presence in fixed income markets. They are committed to innovation and technology-driven trading solutions, offering a collaborative environment where data plays a critical role in decision-making.

Description

• Design and build data pipelines for real-time and historical trading data.
• Develop machine learning models for trade flow prediction, execution analysis, and market pattern recognition.
• Create dashboards and analytical tools for trading desks.
• Productionise models and integrate them into trading infrastructure.
• Ensure data quality, governance, and automation of analytical workflows.
• Collaborate with traders, quants, and technologists to identify data-driven opportunities.

Profile

• Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL.
• Experience in data science, machine learning, and predictive modelling.
• Background in data engineering (ETL pipelines, streaming tech like Kafka).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Excellent communication skills for technical and non-technical stakeholders.
• Exposure to financial services or willingness to learn fixed income and electronic trading.
• Typically 3-7 years' experience in data science, analytics engineering, or software development.

Job Offer

• £750 per day INSIDE IR35
• 6 month contract
• Based in Liverpool Street - 4 days per week in the office