KDB / Quant Developer (Python) - Trading & Analytics Focus

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