Quantitative Researcher - Cash Equities Massachusetts

Man Group is a global alternative investment management firm focused on pursuing out performance 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 $253.6 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

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* As at 30 June 2026

Algo Research team is responsible for alpha research across a wide range of time-scales (from high-frequency up to ~48 hours), design of monetization/execution algos and market impact modelling across all major asset classes (including Cash Equities, Futures, FX, Options). We work in close collaboration with various systematic research teams across Man Group to maximise realised P&L of strategies. Algo Research is one of the key focus areas for Man.

We are looking for a Quantitative Researcher with a primary focus on Cash Equities whose responsibilities will include:

• Creating high quality intraday predictive alpha signals in cash equities, from order book and alternative datasets
• Applying ML techniques to alpha research
• Solving optimal execution optimization problems
• Identifying highest P&L opportunities
• Close collaboration with researchers across the firm

• Ability to think creatively, to come up with and implement original research and ideas
• Exceptional analytical skills; recognised by peers as an expert in one’s domain
• Deep understanding of statistics/ML and an ability to apply it to real world problems
• Expertise in a high-level programming language such as Python/ R

• Knowledge of market structure, participants, trading venues and microstructure of at least one of the major asset classes
• Experience in intraday alpha research
• Experience in building ML models
• Experience with handling large data sets and tick data

• Intellectual integrity with a keenly analytic approach to problem solving
• Ability to deliver projects with high commercial value
• Hands-on attitude; willing to get involved with technology and projects across the firm
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Strong interpersonal skills; adaptability and ability to establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike
• Confident communicator, able to argue a point concisely and deal positively with conflicting views

The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of…