MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability) Development of pre-trade analytics to support in trading decisions (e.g. computing trade relative value metrics and strategy backtesting) Provide quantitative modelling expertise to trading (e.g. portfolio optimization, flow matching, trade prospect ranking) Your skills and experience Good experience in a front office technical/quant role within investment More ❯
are looking for the next wave of tech driven, entrepreneurial personalities to help expand the team. Responsibilities: Develop and Maintain Research Platforms, building Python-based tools and libraries for backtesting strategies, analyzing data, and simulating trading logic to support quant researchers. Implement Quantitative Models and Signals, translating trading ideas or academic models into production-ready Python code, ensuring reproducibility, performance More ❯
processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯
