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Quantitative Risk Manager

Man Group
CompanyMan Group
CategoryFinance
LocationLondon
RemoteOn-site (inferred)
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted8 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants  here * As at 31 March 2026   The Team: The Man AHL Investment Risk team is a part of the wider Man Group Risk function and is responsible for risk management, monitoring and risk-related research across Market, Liquidity and Counterparty Risk. The team is responsible for risk management across the full range of AHL funds and strategies — spanning a broad range of asset classes including fixed income, equities, credit, commodities, FX and volatility — and works closely with Portfolio Management, Research, Trading and Technology teams to resolve risk issues. The team has a strong focus on risk research and the development of proprietary, in-house risk tooling. It is responsible for independent research on new risk management techniques and improvements to existing risk analytics, including an internal risk model and Python code base. AHL Risk relies on the strong quantitative and risk backgrounds across the team, as well as programming, data analysis and communication skills. The Role AHL Risk are seeking a self-motivated Risk Manager & Researcher with a strong quantitative background to be part of a dynamic Risk Management team. This is an exciting opportunity for a Quantitative Risk Manager with intellectual curiosity and an interest in Quantitative Research. The role offers a roughly equal balance across ongoing risk monitoring, risk research and model development, and the build-out of the team's risk tooling and analytical infrastructure. It is a highly quantitative position, requiring a strong mathematical and statistical foundation in order to understand the systematic strategies under management and to research and build new risk models and tools. Key Responsibilities Monitor and manage risk across systematic trading strategies & funds Work with all areas within the business – both within and outside AHL – to resolve risk issues as they arise Assist in building out the broader risk framework and analytical infrastructure – including internal risk models and code Conduct research into new risk measurement and management techniques Further develop the Man risk management framework and broaden awareness and good risk culture across all functions at Man Reporting relevant risk data and information to key stakeholders – both internal and external – as and when required Key Skills & Experience A strong mathematical and statistical background, with the ability to understand systematic strategies and to research and build new risk models and tools MSc (or higher) in a highly
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