Our client is looking to expand their team with KDB / Quant Developers to support upcoming demand in trading and data analytics programmes. While project details are still evolving, the focus will be on quantitative development, working closely with trading and quantitative teams. This role will suit candidates with a strong quantitative mindset, experience working with financial datasets, and the ability to build high-performance data analytics solutions. Responsibilities Develop and enhance KDB+/q data platforms for trading and analytics use cases Work with large-scale time-series trading data (equities and options) Build analytics pipelines to support quantitative research, reporting, and trading insights Collaborate with traders and quantitative analysts to deliver data-driven solutions Design and optimise data ingestion, querying, and performance tuning within KDB environments Use Python for data analysis, tooling, and integration with analytics workflows Support development of data models and analytics frameworks aligned to trading use cases Requirements Strong KDB+/q experience Proven Python skills for data analysis and/or quantitative development Experience working with financial markets data (preferably equities and/or options) Solid understanding of data analysis, statistics, and quantitative methodologies Desirable Experience working in front-office or trading environments Exposure to quant research, modelling, or strategy development Knowledge of market microstructure or derivatives data Experience handling large-scale, high-frequency datasets