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Quant Researcher - Monetization

Selby Jennings · London, England, United Kingdom

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A team at a leading $20Bn+ global hedge fund is seeking a Quantitative Researcher to join a high-performing systematic trading group focused on alpha monetisation and portfolio optimisation.The team is open to candidates from a range of systematic backgrounds, including equities, futures, macro, multi-asset, or statistical arbitrage, provided they have demonstrated experience improving signal monetisation, portfolio construction, execution, or risk-adjusted returns.The hedge fund provides world-class technology, data, and research infrastructure, enabling researchers to focus on generating alpha and efficiently scaling strategies into production.ResponsibilitiesConduct research focused on improving monetisation of systematic trading signals.Develop portfolio construction, capital allocation, and risk management frameworks to maximise risk-adjusted returns.Analyse signal interactions, capacity constraints, turnover, transaction costs, and execution dynamics.Collaborate closely with Portfolio Managers, Quantitative Researchers, and Technology teams to deploy strategies into production.Contribute to the ongoing enhancement of research infrastructure, modelling frameworks, and portfolio analytics.Requirements2-10 years of experience in quantitative research at a hedge fund, proprietary trading firm, asset manager, or systematic investment team.Demonstrated experience monetising alpha signals through portfolio construction, optimisation, execution, or risk modelling.Strong understanding of systematic investment processes and the drivers of strategy performance.Advanced degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, or a related quantitative discipline.Strong programming skills in Python and experience working with large financial datasets.Excellent analytical and problem-solving skills with the ability to operate in a collaborative, fast-paced environment.If interested, please apply via the link. Due to the high volume of applications, additional time may be needed for suitable applicants to receive a response.