Quantitative Researcher
Anson McCade · London Area, United Kingdom
قدّم وتابع مع أبلاي إيدجVP Quantitative Researcher – Equities Electronic TradingA leading global investment bank is looking for a VP-level Quantitative Researcher to join a front-office Equities Electronic Trading team in London.The team is responsible for developing and enhancing electronic trading strategies, execution algorithms and market analytics that support smart order routing and best execution. This is a hands-on role reporting directly to the Head of the group, with the opportunity to work closely with senior stakeholders across trading, technology and product.Key responsibilities include:• Designing, calibrating and optimising equity execution algorithms• Analysing market microstructure, liquidity and transaction cost data• Developing and testing new trading signals and liquidity metrics• Running A/B trials to assess and improve algorithm behaviour• Building Python and q/kdb+ dashboards and tools for internal monitoring• Improving model calibration and post-trade analysis processes• Working closely with Trading, Product, Technology, Compliance and RiskThe ideal candidate will have:• VP-level experience within electronic or algorithmic trading• 2+ years of relevant experience, ideally within Equities• Strong understanding of execution logic, market microstructure and transaction costs• Strong Python skills, with q/kdb+ highly desirable• Experience using statistical methods to analyse trading and market data• A quantitative academic background, such as a PhD or Master’s in Mathematics, Statistics, Computer Science or Physics• Exposure to C++ or Java production code is beneficial, although software development in these languages is not requiredThis is an excellent opportunity for an experienced electronic trading quant to take ownership of meaningful research and optimisation work within a front-office environment, working directly with the leadership of the group.Location: LondonIf you have relevant experience in Equities Electronic Trading, Algorithmic Trading or Execution Quant Research and would be interested in learning more, please apply or get in touch for a confidential discussion.