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