Quantitative Researcher

Quantitative Researcher (TCA / Execution Modelling) - Global EquitiesRole OverviewWe are seeking a Quantitative Researcher focused on execution modelling and transaction cost analysis (TCA) within a high-performance equities trading environment.This role sits at the intersection of quant research, execution optimisation, and portfolio construction, with responsibility for building and enhancing models that directly impact trading performance across $1B+ in daily global equity notionalThe position is not an execution trading role, it is a research-driven position requiring strong alpha-oriented thinking applied to execution and market microstructureKey ResponsibilitiesDevelop, maintain, and enhance transaction cost models (TCA) and execution forecasting frameworks used in portfolio optimisationAnalyse and model market impact, slippage, liquidity, and execution risk across global equity marketsPartner closely with trading and portfolio teams to monitor and improve execution qualityApply market microstructure expertise to identify inefficiencies and drive execution alphaContribute to alpha research initiatives, particularly where execution signals or microstructure insights can provide edgeWork with large-scale trading datasets to build robust, data-driven models for cost prediction and optimisationContinuously refine processes to improve scalability, accuracy, and performance of execution analyticsCandidate Profile1-6 years of experience as a Quantitative Researcher in a buy-side environment (preferred)Strong candidates from asset managers / long-only firms with relevant experience also consideredExceptional candidates from sell-side trading desks will be consideredStrong academic background in a quantitative discipline (e.g. Mathematics, Physics, Computer Science, Engineering)Required Skills & ExperienceStrong understanding of equity market microstructure (order books, liquidity, impact, execution strategies)Experience building or working with transaction cost models / execution analyticsDemonstrated research experience (alpha or signal development) "” not purely execution/tradingProficiency in Python and/or other quantitative programming languagesExperience working with large, high-frequency datasetsStrong statistical and modelling skillsNice to HaveExperience integrating execution models into portfolio optimisation frameworksExposure to systematic trading or quant equity strategiesKey DifferentiatorThis is a research-first role, not an execution seat. The focus is on modelling, alpha-adjacent research, and improving trading outcomes through data and microstructure insight, rather than trade execution itself.

Created: 2026-05-08