Purpose of role:

The Man Group Corporate Treasury Team sits within the Corporate Finance department and is responsible for the following broad treasury-related activities of Man Group plc and its subsidiaries:

• Funding and day-to-day liquidity management
• Management of inter-company funding and settlements
• Management of global surplus cash
• Foreign exchange rate risk management
• Interest rate risk management
• Other treasury-related areas

The role will also require you to support the Group Treasurer on project-based work and also to support the Senior Analyst in the team and help to develop the teams overall technical expertise, to ensure the Man Treasury team is a ‘best-in-class’ function.

Specific responsibilities:

• Leading global cash management operations for Man Group plc and its subsidiaries, targeting cash efficiencies and managing the investment of the Groups cash as well as managing daily positions
• Developing the Groups cash flow forecasting capabilities
• Managing the corporate FX hedging programme
• Front-end user ownership of the Groups treasury management system, Kyriba
• Overseeing the effectiveness of the Groups payments policy
• Reconciliation of forecast cashflows to actuals
• Building relationships with key stakeholders, both internal and external
• Reporting on Treasury activity to senior management
• Weekly reporting on performance of the Groups seed portfolio and assisting with administering the portfolio
• Monthly reconciliation of the Groups seed portfolio to the general ledger
• Using technical expertise to identify and solve complex problems
• Focus on continuous improvement of the processes
• Have a good awareness of key risk areas and control activities
• Drive technological adoption within the Treasury team

Technical competencies:

• Minimum 2 years hands on experience, within a treasury / cash management role
• AMCT qualified, or studying towards
• Accounting / Finance and/or Data Analytics background or a degree in a numerate subject (essential)
• Treasury and/or cash management experience (essential)
• An understanding of cash management / treasury instruments (essential)
• Coding background (desirable)
• Strong excel background
• Excellent client service (internal & external) and strong interpersonal skills
• Deliver professional and ethical standards

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are seeking Software Engineers with deep expertise in C# and .NET to lead the design and development of mission-critical systems across our domain. You will play a key role in shaping technical strategy and driving architectural decisions within a high-performing team. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core financial and order management knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Lead the end-to-end delivery of complex software solutions—from requirements gathering and architecture design to development, testing, and production deployments
• Own and drive long-term technical initiatives and architectural improvements across systems
• Collaborate closely with stakeholders to align technical solutions with business goals
• Champion engineering best practices, including CI/CD, automated testing, and scalable design patterns
• Conduct code reviews and provide technical guidance to peers and junior engineers
• Proactively identify and reduce technical debt, improve system resilience, and optimize performance
• Lead incident response and root cause analysis for production issues
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Essential

• 3-5 years of professional experience in software engineering with C# and .NET
• Proven experience in architectural design, system scalability, and distributed systems
• Strong knowledge of Microsoft SQL Server, including schema design, query optimization, and performance tuning
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow
• Ability to balance delivery of business value with long-term technical strategy
• Excellent communication and leadership skills, with the ability to influence and drive consensus
• Strong advocate for collaborative development practices and continuous improvement

Advantageous

• Experience with cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes)

Purpose of Role:

The main purpose of the role is responsibility for the posting, review and reporting of the Group’s management fees, performance fees, client rebates and commissions. This involves the oversight and analytical review of monthly net revenue bookings, billing processes and cash matching as well as ensuring that payments to clients are made on a timely basis. This role will report directly into the Manager of Revenue.

Specific responsibilities:

• Review and post into the general ledger; ensure revenues, rebates and commissions are recorded correctly
• Analyse and understand the drivers behind changes to accruals and month-on-month movements
• Prepare balance sheet reconciliations as part of the month-end reporting process
• Distribute payment schedules and invoices; ensure prompt collection of cash from clients/counterparties, including cash matching and management of returned payments
• Review, analyse and approve rebates and commission payments to ensure accuracy and timeliness; provide debtor correspondence as required
• Comply with CASS regulatory requirements
• Liaise with Middle Office, Accounts Payable, Client Agreements, administrator (BNYM) and other internal/external stakeholders; prepare fund reinvestment instructions and ensure funding is in place
• Support internal and external audit queries
• Assist with asset under management (AUM) reporting and margin calculations

Technical competencies: 

• Minimum 1 years post graduate, work experience
• Part or fully qualified accountant (ACA, ACCA, CIMA) preferred but not essential
• Degree-level education, preferably in Finance, Accounting, Mathematics or a related discipline
• Experience working in a Finance team ideally within Investment Management or Investment Banking preferred but not essential
• Strong Excel skills (lookups, pivot tables, sumif etc.); ability to learn new systems quickly
• Proactively identifies opportunities to improve and automate processes through intelligent automation and AI-driven solutions

The Role

As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

 
Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

 
Technology and Business Skills

At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

 
Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

 
Working Here

Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.

• We host and sponsor London’s PyData and Machine Learning Meetups
• We open-source some of our technology. See github.com/man-group
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @ManQuantTech

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units.

• We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches
• We have annual away days and off-sites for the whole team
• As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

• Drive the automation and production of fund & strategy marketing decks, primarily using Seismic software, working closely with the Investment Services Presentation team.
• Support the Investment Analytics team with the automation and enhancement of client reporting tools.
• Proactively learn and adopt new automation tools, coding languages, and technologies as the team evolves its tech stack.
• Take responsibility for the production and outsourcing of factsheets, ensuring accuracy and timely delivery.
• Assist with the expansion of marketing materials including wealth presentations, PIDs, corporate brochures, team biographies, and standard reporting as needed.
• Contribute to the development and implementation of new or changed regulatory requirements when needed.
• Assist with the development and implementation of product launches when needed.
• Build effective working relationships across the firm, including with portfolio managers, sales, marketing, compliance, and operations.
• Collaborate with colleagues across departments to resolve client and product marketing issues.

• Familiarity with at least one programming or scripting language (e.g. SQL, Python, VBA) — or a demonstrable willingness and aptitude to learn.
• Proficiency in Microsoft Office, particularly Excel and PowerPoint.
• Experience with automation or data tooling is a plus but not essential.

• Some exposure to financial services or asset management is desirable, but not essential for candidates who can demonstrate a strong interest in the industry and a willingness to learn.
• An interest in financial markets, performance measurement, and the asset management/hedge fund industry.
• Ability to quickly learn strategies, markets, statistics, and legal and compliance frameworks.

• Self-starter mentality — comfortable working independently and taking initiative.
• Curious and adaptable, with a genuine enthusiasm for learning new tools and technologies.
• Comfortable with change and ambiguity in a fast-moving environment.
• Excellent written and verbal communication skills.
• Strong attention to detail, particularly given the client-facing nature of the materials produced.

The Team

The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams as well developing and supporting Man Group's central data platform. The division is also responsible for development of generative AI tooling to drive innovation and accelerate business processes.

The function seeks to unlock the value in data by partnering with investment teams to source new and diversifying datasets and build scalable evaluation methods and insights on data. The core value which unifies us is a passion to utilise science, technology, and data to enhance our investment and business processes.

The Role

As a Senior Analyst in the Data Science team, you will acquire, wrangle, map and analyse large structured and unstructured datasets to support quantitative research and portfolio management teams in alpha generation. You will act as a subject matter expert on select projects — delivering fundamental research, exploratory analysis and actionable insights. 

Your responsibilities span the full data lifecycle: vendor scoping, data ingestion, exploratory analysis and pipeline prototyping. You will be expected to embrace AI development tools to accelerate delivery and drive adoption across the team. Work is delivered through self-managed projects in collaboration with investment teams and the wider Data & AI division, with the goal of providing scalable, low-touch data delivery and analysis. 

Role Responsibilities

• Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies.
• Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision-making.
• Research company KPIs, perform statistical tests and draft research reports to maintain an accessible knowledge base for investment teams.
• Contribute to the design and development of our AI-powered data platform, streamlining the data scouting → onboarding → evaluation workflow.
• Build proof-of-concept data products and AI-driven tools, collaborating with technology to productionise them.
• Contribute to firm-wide data initiatives and stay informed on industry trends in alternative data.

Key Competencies

Essential

• 4+ years of proven experience in data wrangling, time-series analysis, statistical techniques and data visualisation.
• Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib) with experience leveraging AI-assisted coding tools to accelerate development.
• Working knowledge of Snowflake, Linux/UNIX, Git, Jira.
• Passion for embracing agentic engineering — willingness and ability to work effectively with AI development tools as part of daily workflow.
• Ability to present technical results and concepts to non-technical audiences.
• Entrepreneurial mindset with a willingness to deeply understand investment strategies and proactively push data-driven solutions.
• Strong academic record with a degree in a STEM field.

Nice to have

• Previous experience working with investment professionals in a fast-paced environment preferred.
• Experience writing ETL pipelines and fluency in SQL preferred.

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

The Team:

AHL Investment Risk manages market, liquidity, and counterparty risk across the full range of AHL's systematic funds and strategies. The team combines quantitative risk research with day-to-day risk monitoring and works closely with Portfolio Management, Research, Trading, and Technology.

Portfolio Risk oversees regulatory and contractual investment restrictions across Man Group's funds. The team advises portfolio managers on trading decisions, negotiates investment guidelines with clients, and partners with Technology and Legal to ensure robust and consistent implementation of limits.

The successful candidate will work across both teams, contributing to shared priorities around risk infrastructure, automation, and AI-driven efficiency.

The Role:

We are now seeking an AI and process experienced leader, with a strong quantitative and technology background to drive automation and AI adoption across the AHL Risk and Portfolio Risk teams. The role is focused on building tools and automating workflows that make risk processes faster, more scalable, and more insightful — leveraging AI where it adds genuine value.

This is an excellent opportunity for someone who combines solid risk and financial markets knowledge with hands-on coding and AI skills, and who wants to have a direct impact on how risk is managed across Man Group.
 

Key Responsibilities:

• Identify and automate manual processes across the AHL Risk and Portfolio Risk teams, with a focus on leveraging AI to drive efficiency gains
• Build and enhance risk models, analytical tools, and reporting infrastructure in Python
• Contribute to the development of Man Group's risk framework, including internal risk models and code
• Promote strong risk awareness and best practice across front-office and support functions

Key Skills & Experience:

• A minimum of 2 years’ experience in financial markets or quantitative roles
• Knowledge of financial markets across major asset classes
• Proficiency with AI-assisted development tools and experience integrating LLMs into workflows
• Strong financial and analytical skills
• Advanced Python or similar programming skills
• Excellent communication skills
• Very strong academics including Master's degree or equivalent in a highly mathematical subject

Purpose of the role

The Discretionary Investment Specialist Associate will have overall responsibility for investment content creation across a group of Man Group’s Discretionary flagship funds, with a focus on liquid, public credit.

The role requires developing a significant technical specialism in key investment funds within Man’s Discretionary business area, so as to be able to credibly write, and present, investment content in a compelling and effective manner. These materials will need to be prepared on a regular basis for use with Man's institutional and retail client base.

A key element of the role will be to develop deep and credible relationships with the relevant Discretionary investment and CPM teams and to become a go-to source for Sales on the sub-set of funds covered. The successful applicant will be expected to produce high quality and professional materials quickly, efficiently and to a high standard.

Responsibilities

• Develop and maintain a full range of investment collateral, including fund marketing (new product launch materials, monthly performance commentaries), technical content (questionnaire and client queries) and sales enablement content (meeting materials, investment outlooks, product updates)
• Shape compelling and differentiated product messaging to help position strategies competitively
• Provide ongoing technical expertise on a set of products to various internal and external stakeholders (including clients), acting as a subject matter expert
• Communicate on specific market events, performance updates, and product milestones
• Partner with the Discretionary portfolio management, CPM, and other key stakeholders across the business so as to ensure content is impactful and of the highest quality
• Write webcasts and performance updates/educational videos to promote fund capabilities and offerings
• Identify opportunities and initiate projects where Investment Specialists can add value for the portfolio manager, sales force and wider business
• Ensure that the latest fund research, analysis and messaging is incorporated into all materials

Technical Competencies: 

• Degree level education in a relevant discipline required. CFA, CAIA or IMC qualification is preferred although not essential
• Approx. 2-3 years’ Client Service or Content Creation experience within the industry and a solid understanding of the financial landscape investment management / hedge fund space preferred
• Ability to work with senior members of sales and investment management to support sales priorities
• Excellent communication skills, both written and verbal.
• Proficient in understanding institutional / retail client expectations and requirements Good organisational and time management skills.
• Ability to prioritise work effectively
• Ability to work independently within a team to meet demanding deadlines.
• Works comfortably in an entrepreneurial environment, seeks to continuously enhance own relevant skills
• Good ability in Word, PowerPoint and Excel Strong analytical ability with good attention to detail / accuracy.

About Man AHL:

Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL’s strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets.

Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets.

The engine leverages Man Group’s unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI). The OMI conducts field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing.

Founded in 1987, Man AHL’s funds under management were $63.8 billion at 31 March 2024. Further information can be found at www.man.com/ahl.

The Team:

AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from monthly to intraday.

Technology and Business Skills:

• 4+ years of experience researching and live trading alpha signals for futures and FX
• Experience with intraday > monthly predictor design and analysis
• Experience with portfolio construction, risk analysis
• Strong understanding of transaction costs, and mitigation strategies
• Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading

Personal Attributes:

• Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university

• Hands-on attitude; willing to get involved with technology and projects across the firm
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities
• Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers
• Confident communicator: able to argue a point concisely and deal positively with conflicting views

Working Here:

AHL 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.

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.

The Team

Man Group has been at the forefront of applying technology and data science to investment management for over three decades. Today, that legacy is driving a firm-wide AI transformation with over 1,500 employees using our AI platform daily, adoption has reached a critical inflection point and momentum continues to build. We're now hiring an AI specialist to partner with teams across the business, turning that momentum into tangible, measurable outcomes.

This is not a research role. It’s not a pure engineering role. It’s the person who sits at the intersection of business problems and AI capabilities, and makes things happen. You’ll become an expert in how Man Group operates our products, our processes, our systems, our people and use that knowledge to identify where AI creates the most value, then build it, ship it, and help others do the same.

You’ll work across the entire firm: sitting with a Sales team to understand why an RFP takes 5 days, then building a prototype that gets it to 48 hours. Running a workshop with Legal to map their document review process, then designing an AI workflow that halves the time. Helping a Portfolio Manager understand what Claude Code can do for their research process, then pairing with them to build it.

You’ll shape the role, the approach and help drive strategy.

We’re looking for someone who: 

• Gets energy from solving other people’s problems, not just their own 

• Is curious about how a business actually works the messy reality, not the org chart 

• Can context-switch between a deeply technical conversation and a commercial one in the same meeting 

• Has the confidence to challenge senior stakeholders constructively and the humility to learn from them 

• Sees AI as a tool for making people more capable 

Role Responsibilities

Accelerate education and engagement

• Become the person people come to when they want to understand what’s possible with AI at Man
• Run workshops, pair-building sessions, and demos that turn sceptics into users and users into builders
• Help leaders in each business unit define their highest-value AI projects and build the skills to deliver them
• Create reusable patterns, templates, and playbooks that scale your impact beyond 1:1 engagements

Solve real business problems with AI

• Embed with business units to understand their processes, pain points, and opportunities at a detailed level
• Rapidly prototype AI-powered solutions using Python, LLM APIs (Anthropic Claude, OpenAI), and the MAIA platform (our internal platform)
• Build end-to-end: from scoping the problem with stakeholders through to a working tool they can use
• Focus on time-to-value: ship early, iterate fast, measure outcomes

Drive process transformation

• Map end-to-end business processes (client lifecycle, reporting chains, operational workflows) and identify where AI creates the highest leverage
• Design AI-first workflows that don’t just automate the existing process but reimagine it
• Work with the strategy team to deliver cross-cutting improvements that benefit multiple business units
• Build the business case: define metrics, measure before and after, present outcomes to leadership

Build the AI product knowledge

• Become an expert in MAIA’s capabilities: what it can do today, what’s on the roadmap, where the gaps are
• Stay current on AI tooling, techniques, and best practices and translate them into practical applications for Man
• Bridge between the AI engineering team (who build the platform) and the business (who use it) translating requirements in both directions
• Contribute to the platform: build skills, integrations, and workflows that become part of MAIA’s shared capability

Key Competencies

Essential

• 5–8 years’ experience in roles that combined technical delivery with business problem-solving. Could be: AI/ML engineering with client-facing work, management consulting with a technical edge, product management for AI/data products, or solutions engineering at a technology company.
• Python skills. You don’t need to be a systems engineer, but you must be able to build prototypes, work with APIs, process data and help design features.
• Hands-on experience with LLMs. You’ve built things with Claude, GPT, or equivalent. You understand prompting, RAG, tool use, agents, and the practical limitations. You know when AI is the right tool and when it isn’t.
• Exceptional stakeholder skills. You can sit with a senior portfolio manager, a head of operations, or a sales lead and earn their trust. You listen before you solve. You communicate clearly to technical and non-technical audiences.
• Bias for action. You’d rather ship a working prototype in a week than a perfect specification in a month. You’re comfortable operating with ambiguity and making progress without waiting for permission.
• Systems thinking. You can look at a business process and see the system: inputs, transformations, outputs, feedback loops, bottlenecks. You think in workflows, not features.

Advantageous

• Financial services experience particularly asset management, investment operations, or capital markets
• Experience with enterprise AI deployments at scale (not just experiments)
• Familiarity with MCP (Model Context Protocol), agent frameworks, or AI workflow orchestration
• Experience training or educating others on AI tools and techniques
• Understanding of data engineering: pipelines, integrations, data quality, metadata management

2026 Solutions Graduate Programme

About Man Solutions:

Man Solutions is a seasoned team of investment experts and innovators who are dedicated to the mission of delivering alpha via multi-strategy products and bespoke investment solutions for our clients.

The Solutions business is defined by its entrepreneurial spirit and culture of excellence.  We are responsible for all cross-content and customised solutions at Man.  We prioritise attracting exceptional talent and broadening our range of expertise, whilst remaining focussed on delivering superior performance to our clients.

We believe that our ability to recruit and develop the top talent in the industry is at the heart of our success.  Our philosophy is to recruit exceptional people of all levels, and to ensure everyone has the opportunity to realise their potential.  We look for people who are differentiated in their thinking and who, by challenging convictions, provide a collaborative yet independent approach to investing.

What will I do on the Solutions Graduate Programme:

Successful candidates for the Solutions Graduate Programme will rotate through placements within the Solutions team over a two-year period.  Graduates will work with several different teams including portfolio management, quant and advisory, ensuring a thorough understanding of a wide range of investment strategies, structures and solutions, allowing the graduate to develop a range of technical and analytical skills.

Man Group offers a mixture of professional studies, the option to pursue a CFA and on-the-job training opportunities.

Please note that candidates must have the right to work in the UK to be considered for this programme.

Specific Responsibilities:

• Identify, develop and maintain effective professional relationships with key investment contacts across the firm
• Learn and understand to a high level of fluency the Man Group investment products
• Work with solutions investment and quant teams to develop investment portfolios across a broad range of asset classes and investment styles
• Analysis and presentation of portfolio exposures, risk, and performance
• Research and presentation of solutions portfolio construction
• Respond to enquiries from prospective and existing investors
• Contribute to the implementation of the broader solutions business strategy

Key Skills & Experience:

• University degree in a relevant subject at a minimum 2:1 level.
• Keen interest in financial markets.
• Excellent organisational and time management skills to succeed in a fast-paced environment.
• Ability to take ownership and work independently as well as on a team.
• Proven proficiency in problem resolution and demonstrated initiative.
• Superior attention to detail.
• Strong communication and collaboration skills
• Outstanding work ethic and desire to learn
• Analytical thinking skills.

About the Man Group Veteran Transition Programme
During the six-month programme, you will work on professional assignments aligned with your skills and interests, while receiving dedicated coaching to support your transition into a civilian working environment. You will also benefit from internal mentoring and access to Man Group’s extensive professional network.

Man Group firmly believes in the value of recognises the unique experience of military Veterans and the wealth of transferable skills that can make a meaningful impact in the corporate environment.

Job Profile Summary:

The Business Manager will provide support with business development and strategic planning initiatives and will interact with the business to understand their requirements and work with them to give proposed solutions. Manage the business’ research providers and associated commercial negotiations.

Responsibilities:

• Translate the strategic objectives of the business into defined project plans

• Conduct regular meetings with research, technology and other team leads and stakeholders to evaluate the status of projects and assess a new project’s impact on resource allocation

• Provide monthly reporting in relation to the status of projects to enable prioritisation discussions, identify and escalate issues when required

• Work with team leads to provide guidance on project prioritisation

• Support business and financial planning

Research Services

• Relationship manage third party research services in the UK, NY & HK. Point person internally & externally

• Setting up new agreements & monitoring existing agreements

• Negotiating fees & terms of agreements

• Tracking existing agreements and spend to keep in line with our annual budget, and ensure there is no overlap in service

• Rationalising providers and reducing costs where possible

• Liaising with compliance, commercial management & legal regularly

• Coding all research invoices and approving for the business

Key Skills & Experience:

• Strong academic record with a degree from a leading university

• Relevant work experience

• Strong communication and presentation skills

• Proven experience engaging with senior management

• Experience of leading projects or workstreams

• Strong analytical ability

• Advanced skills in MS Office (Excel and PowerPoint)

• Strong work ethic, self-starter with ability to multi-task

The Team:

The Discretionary Risk Management team enhances the investment management process by delivering proactive, best-in-class risk oversight. We are seeking an accomplished leader who combines emotional intelligence, executive presence, and exceptional communication and quantitative skills to lead this high-performing team.

Key Responsibilities:

• Provide strategic leadership to the Discretionary Risk Management team, fostering a culture of excellence and high performance
• Cultivate and maintain strong relationships with key stakeholders, including Portfolio Managers, Senior Management, Clients, and Regulators
• Conduct real-time monitoring and assessment of risk exposures across all funds and books managed by Discretionary
• Chair the Discretionary Risk Committee, setting the agenda and driving actionable outcomes
• Champion continuous improvement in risk management methodologies, frameworks, and tools
• Develop and maintain a deep understanding of the investment management styles employed across Discretionary and the broader Man Group
• Design, deliver, and oversee strategic risk projects from inception to completion
• Advance and embed the Man Group risk management framework across all business functions
• Ensure timely resolution of risk issues, prioritising based on materiality, significance, and potential impact

Qualifications and Experience:

• Postgraduate degree in a relevant discipline (e.g., Finance, Mathematics, Economics, or related field)
• Minimum 10 years' experience in risk management across buy-side and/or sell-side institutions
• Proven track record in discretionary risk management (essential)
• Strong credit-focused background with deep knowledge of credit instruments and markets (essential)
• Proficiency in AI/machine learning applications and Python programming
• Demonstrated experience in people leadership, team development, and mentorship (essential)
• Exceptional financial and analytical acumen
• Comprehensive understanding of VaR modelling, stress testing, and broader risk management techniques
• Outstanding written and verbal communication skills, with the ability to convey complex risk concepts to diverse audiences

Purpose of role:

Reporting to the Head of Stewardship, this role sits within the Stewardship team, which is part of the Responsible Investment group of Man Group. The candidate will focus on the implementation of stewardship approaches, including proxy voting and engagement across Man Group’s investment capabilities.

Specific responsibilities:

Proxy Voting

• Oversee the day-to-day relationship with our proxy voting research provider
• Ensure consistent and informed proxy voting activities, ensuring timeliness and completeness of the execution of our proxy votes
• Collaborate with Stewardship team members to perform an extra level of analysis of the 3rd party research and recommendations to ensure we vote in alignment with our firm’s policies and/or client requests
• Serve as a senior point of contact for portfolio managers’ queries on proxy voting, providing expert advice on complex voting matters
• Maintain and produce accurate voting reports for various stakeholders, identifying opportunities to enhance reporting quality and efficiency
• Set up new funds for proxy voting by completing fund documentation and liaising with our proxy advisor and custodians.
• Monitor equity account setups through Man’s control frameworks to mitigate proxy voting risks and oversights

Engagement

• Work with portfolio managers and collaboratively with other investors to deliver tangible results at investee companies
• Utilise company disclosures, third party research and other available resources to conduct non-financial analysis to assess company adherence to ESG market standards across different industries, supporting junior team members in defining ESG best practice
• Identify issuers for targeted engagement in order to meet our ESG / Responsible investment (RI) targets, prioritising based on materiality frameworks and strategic importance
• Lead engagements with corporate representatives from our funds’ portfolio companies to discuss ESG matters, including climate change, biodiversity, human rights and corporate governance

Reporting and Policy Updates

• Lead the delivery of engagement and proxy voting-related queries in due diligence questionnaires (DDQ) or Requests for Information (RFI), ensuring consistency and quality of responses and coaching junior analysts in their contributions
• Drive the development and maintenance of stewardship-related policies and play a leading role in contributing to international stewardship codes’ requirements

Technical competencies:

• A degree in finance, economics, business, law or other relevant subjects
• Professional qualifications in finance or ESG, such as IMC, CFA level 1, CFA in ESG investing or other relevant qualification (desirable)
• Knowledge of policy issues of corporate governance, stewardship and shareholder rights and responsibilities, with evidence of knowledge of wider responsible investment issues
• Strong IT skills including proficiency with Microsoft Office
• A motivated self-starter that is organised, structured and proactive
• Ability to work collaboratively and independently, take initiative and add value to the team
• Effective communication and interpersonal skills
• Strong presentation and writing skills
• Detail-oriented and analytical skills
• Information seeker and aptitude to problem-solving and holistic thinking

The Team

We are looking for a CISO to take full ownership of Information Security and Identity & Access Management at Man Group. This is a leadership role that is as much about driving change across the firm as it is about running the security function. They will set standards, influence behaviour, embed security into business processes, and work with departments across the organisation to raise the bar on how Man Group manages risk. 

A Deputy CISO will own day-to-day security operations and policy, allowing the CISO to focus on identity transformation, standards, governance, and driving security culture firm-wide. 

Reporting to the Head of Enterprise Risk, the CISO will be responsible for overseeing Identity and Access Management (IAM) Programme, IAM BAU, and Information Security.

Role Responsibilities

Strategy & Standards

• Own the information security strategy, aligning security investment to the firm's risk appetite
• Drive security culture and awareness across the firm through training, engagement, and communications
• Set and enforce security standards across technology, operations, and business departments, not just within InfoSec
• Work with teams across the organisation to model secure processes and embed security into their workflows
• Enable the safe adoption of AI and emerging technologies by defining practical security guardrails
• Own the Information Security and IAM Risks and Controls Self-Assessment (RCSA), ensuring that risks are identified, controls are documented and remediation is tracked

Identity & Access Management

• Own the IAM strategy and transformation roadmap, driving the migration from legacy provisioning to a modern, governed identity platform
• Directly oversee the identity governance implementation, including application onboarding, lifecycle automation, and access controls
• Remediate audit findings related to identity and access management

Governance & Reporting

• Chair the Information Security Steering Committee
• Present security posture, risk, and programme updates to boards and the Risk and Finance Committee
• Provide oversight of third-party risk management in coordination with the dedicated TPRM team
• Support SOC-1 audit processes
  
  

Key Competencies

Essential

• A builder mindset, comfortable with balancing competing priorities
• Demonstrable experience in a senior information security role, ready to step into a full CISO mandate
• Deep technical credibility in information security, able to operate at an architectural level and get into the weeds on implementation
• Proven ability to drive change outside of a direct reporting line, influencing technology, operations, and business teams to adopt security standards
• Strong communicator, comfortable presenting to boards and equally comfortable in a technical design review

Advantageous

• CISSP certification
• Experience with identity governance platforms and large-scale IAM transformation programmes
• Familiarity with infrastructure-as-code environments (Terraform, GitOps workflows)
• Experience with hybrid identity environments (Active Directory, Entra ID, SSO platforms)
• Experience defining security frameworks for emerging technology enablement
• Background in a regulated industry, with an appreciation for the governance, operational, and compliance requirements that come with itith cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes)