The Team:

The Global Trading team is in charge of the execution of the flow across all asset classes and regions on behalf of Man Group’s investment engines. With more than 30 traders operating from our 5 trading hubs (London, NYC, Boston, Hong Kong, Shanghai), the team’s DNA combines the best from both our quantitative and discretionary expertise.

Purpose of role:

The Senior Trader will be a critical member of the trading desk, responsible for the efficient and cost-effective execution of orders across multiple asset classes. Working in close partnership with portfolio managers, quantitative researchers, and technologists, the successful candidate will ensure best execution while contributing market intelligence and strategic insight to the broader investment process. This is a high-impact, senior role requiring deep market expertise, leadership capability, and a strong understanding of both systematic and discretionary trading environments.

Responsibilities:

Policies and Procedures

• Know, understand, and comply with all Global Compliance policies, internal procedures, and the Staff Handbook.
• Ensure all transactions are authorized by the PM and correctly recorded in the trading system by the end of each day.
• Report regulatory concerns, suspicious market activity, and regular updates to Compliance and the appointed line manager.

Best Execution

• Continue to improve processes to ensure Man meets its Best Execution obligations for clients.
• Evaluate bank value through toxicity analysis to identify areas of potential alpha leakage.
• Ensure broader trading team monitoring of flow, including slippage, spreads, bank performance, and flow impact.

Maximise alpha retention post investment decision through

• Robust framework for continuous evaluation and improvement of the execution process to minimise slippage and explicit trading costs.
• Application of quantitative methods combined with trading experience to decide optimal execution strategies with PMs.

Marketplace experts

• Deliver filtered market intelligence to PMs, Sectors, and Risk.
• Understand market positioning, including micro and macro catalysts.
• Relay market colour, insight, and ideas to PMs regarding potential investment opportunities.

Execution experts

• Act as market microstructure specialists to execute hedging overlays and factor exposures based on PM instructions.
• Explore new venues and liquidity opportunities to add capacity to investment strategies.
• Suggest new markets and facilitate their implementation into the PMs’ investment management process.

Leverage trading technology

• Develop trading technology to improve the execution toolkit.
• Support the use of technology to help automate workflow.
• Identify flow that is suitable for electronification.

Leverage the Execution Research Team to

• Evaluate broker and venue performance (including liquidity types and execution stacks) to enable optimal execution outcomes.
• Oversee the broker roster to ensure proper flow allocation based on performance metrics, coverage, and operational efficiency.
• Provide feedback to executing brokers regarding rankings and areas for improvement.

Operational & workflow considerations

• Assist Middle Office to ensure timely matching of trades.
• Liaise with operations teams to ensure no disruption or backlog with brokers that could result in missed execution opportunities.

Experience / Qualifications:

• Minimum 6+ years of front-office trading experience, with a strong preference for buy-side hedge fund or asset management backgrounds.
• Experience of trading across Corporate Cash Credit, illiquid IG, HY and / or EM, with a focus on best execution.
• Bachelor's degree (minimum) in Finance, Economics, Mathematics, Engineering, or a related quantitative discipline.
• Significant experience sourcing liquidity and managing broker/counterparty relationships at a senior level.
• Experience mentoring junior members of a trading team.
• Expert proficiency with Bloomberg Terminal and major OMS/EMS platforms (e.g., FlexTrade, Charles River, MarketAxess, TradeWeb, etc).
• Strong understanding of transaction cost analysis (TCA) tools and methodologies.
• Python skills desirable.
• Familiarity with electronic trading venues, FIX protocol, and market data infrastructure.

Personal Attributes

• Exceptional judgement and composure under pressure in fast-moving markets.
• Outstanding communication and relationship-building skills across internal and external stakeholders.
• Highly analytical with strong attention to detail and a rigorous approach to risk.
• Collaborative team player with a proactive, solutions-oriented mindset.
• Strong commercial awareness and a genuine passion for financial markets.

Algo Research Team

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 realized 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
• In-depth market impact modelling
• Solving optimal execution optimization problems
• Identifying highest P&L opportunities
• Close collaboration with researchers across the firm  

Technology and Business Skills

Essential

• 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

Advantageous

• 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

Personal Attributes

• PhD or exceptional Masters / Bachelor’s qualification in a quantitative subject
• 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

Algo Research Team:

Algo Research team is responsible for alpha research across a wide range of time-scales (from high frequency to days), design of monetisation/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 realized 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 Futures whose responsibilities will include:

• Creating high quality intraday predictive alpha signals in futures on the scale of sub-second to hours, from order book and alternative datasets
• Applying ML techniques to alpha research
• In-depth market impact modelling
• Solving optimal execution optimization problems
• Identifying highest P&L opportunities
• Close collaboration with researchers across the Man Systematic

Technology and Business Skills:

Essential

• 4+ years of work experience on the Buy side
• Experience building intraday alpha for futures markets (N
• 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
• Exceptional analytical skills; recognised by peers as an expert in their domain
• Ability to conduct research independently as well as work as part of a larger team and manage multiple stakeholders

Advantageous

• Knowledge of market structure, participants, trading venues and microstructure of at least one of the major asset classes
• Experience with Deep Neural Networks
• Experience with handling large data sets and tick data

Personal Attributes

• PhD or exceptional Master’s / Bachelor’s qualification in a quantitative subject
• 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, 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

To provide execution and order placement services to Man's investment engines.

Responsibilities:

Regulatory and legal framework

• Be aware of and act in accordance with the regulatory and legal framework governing the trader's activities, including any relevant market abuse rules
• To the extent applicable, understand and abide by relevant market risk limits and thresholds and prudential levels

Policies and Procedures

• Know, understand and comply with Man's Global Compliance policies and any internal procedures relevant to the trader's business activities and with the requirements set out in Man's Staff Handbook and Global Code of Ethics as well as any global, regional and local compliance manuals
• Obtain appropriate authorisation to trade pursuant to the PM's recorded instructions
• Report regularly to their appointed line manager
• At the end of each day, ensure that all transactions for which the trader is responsible for executing, have been recorded in the trading system correctly
• Report any potential regulatory concerns to Compliance and to the appointed line manager. This includes any market activity of a suspicious nature as well as known or suspected breaches of regulation, exchange rules or firm policy

Best Execution

• Continue to improve process to ensure Man meets its Best Execution obligations for Man's clients
• Maximise alpha retention post investment decision through: - Robust framework for continuous evaluation and improvement of the execution process to minimise slippage and explicit trading costs - Application of quantitative methods combined with trading experience to decide and discuss with the PM, the optimal execution strategy to best match the PM’s trading and investment objectives
• Leverage Trading Technology
• Develop trading technology to improve execution toolkit
• Embrace technology to help automate workflow
• Drive development of our trading platform, infrastructure and technology.
• Use qualitative and quantitative analysis to improve performance of our systematic and discretionary strategies.
• Possess a strong understanding of Technology and a forward-thinking mindset, staying ahead of emerging developments and their practical applications.
• Intermediate to advanced understanding of AI models and the ability to integrate AI-driven practices into trading desk workflows to drive meaningful optimisation.

Broker Execution Evaluation/Review

• Oversight of broker roster and ensuring proper allocation of flow keeping in mind metrics of broker performance, coverage model, execution research and operational efficiency
• Feedback to executing brokers of areas of improvement, ranking etc.
• Prime Broker relationship management, to maintain and optimise said relationships
• Liaison with operations teams to ensure no disruption or backlog with the brokers resulting in process bottlenecks leading to missed opportunities on the execution front in

Operational & Workflow Considerations

• Ability to raise/cancel an order ticket, based on the PM’s recorded instructions, if required (this should not be viewed as standard practise)
• Continue to be able to view PM’s holdings
• Assist Middle Office to ensure timely matching of trades
• Liaison with stock loan desk
• 0-2 years of experience trading in a financial institution or relevant technical experience.
• Intermediate skill level - programming language such as Python, SQL
• Solid general understanding of financial markets, complemented by a genuine enthusiasm and keen interest in market dynamics. · Hands-on attitude; willing to get involved with technology and projects across the firm.
• Strong academic record and a degree from a leading university.
• Attention to detail and disciplined. Able to work under pressure and in a high-paced environment, with the ability to think quickly.
• Intellectually robust with a keenly analytic approach to problem solving. Curious, entrepreneurial, and innovative, willing to get involved with technology and projects across the firm.
• Strong inter-personal skills to enable communication across investment management teams and regions. Clear, concise, and transparent communicator.
• Team player, collaborative, customer-focused and results-driven.
• Strong proficiency in Mandarin both written and verbal
• Willingness to travel and work from our Shanghai office

The Team 

Man Global Markets is responsible for all of Man Group’s execution, spanning all investment engines, asset classes, and regions. The High-Frequency Quantitative Research team, based in New York, is responsible for the research and development of low latency alphas and trading strategies and spearheading the development of Man Group’s proprietary execution algorithms. The team is responsible for full end to end trading strategy development and uses its own customized ML research and monetization infrastructure. 

Who Should Apply? 

The team is currently hiring interns with strong academic achievement in highly technical degree programs who are interested in a 2026 summer internship (expected to be between 10 – 12 weeks).  

Candidates are encouraged to submit only one application using their university email address via the below link, which requires a resume that includes all completed and in-progress post-secondary education GPAs. School transcripts may be optionally provided immediately or later in the process. 

Kindly note that the summer internship is open to penultimate year students only who will be graduating between Winter – Summer 2027. 

Hiring requirements 

• PhD student or exceptional Masters student in penultimate year of study majoring in a highly quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or Finance. 
• Experience in linear and non-linear machine learning algorithms. 
• Hands-on experience of working with large data sets. 
• An interest in financial markets modelling and investing.  
• A deep understanding of statistics and an ability to apply it to real-world problems. 
• Intermediate skills in at least one programming language (e.g. Python, Java, C, C++). 
• The ability to communicate complicated ideas in a clear and concise manner. 

Working here 

Man Group fosters a performance driven, meritocratic culture with a small company, no-attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader research and academic community, as well as renowned industry contributors. 

We’re fortunate enough to have a modern high-rise office in central Midtown conveniently located near Central Park, and continually strive to make our environment a great place in which to work. 

• We have annual away days and research off-sites for the whole team. 
• We open-source some of our technology. See https://github.com/man-group 
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See  @manquanttech and @ManGroup. 
• Our Oxford lab is collocated with the Oxford-Man Institute of Quantitative Finance (https://bit.ly/36goTic) and the Machine Learning Research Group in Engineering Science, University of Oxford (https://bit.ly/2MSHDwy)