12 Oct
Man Group
London
Job description
The Team
AHL’s Fast Trading Strategies (FTS) team is responsible for the development of high Sharpe, high-frequency trading strategies across all asset classes.
The team has been running for over a decade, and currently manages a large and successful portfolio across both global futures and cash markets.
The FTS team is responsible for the full end to end development of the fast alpha portfolio, using a number of techniques to capture fast alphas, ML, event driven, microstructure based etc, building its own customised monetisation stack, and optimising trading and order placement with dedicated high frequency infrastructure.
Current opportunities
We are seeking highly motivated individuals with a strong background in highly technical domains for various opportunities across the FTS team in both London and New York.
Individuals of varying levels of experience (across both professional work experience and education levels from Bachelor’s to Doctorate degree) will be considered and matched to a role within FTS according to their skillset, interest and current team needs.
Therefore, we would kindly request candidates submit only one application to the Fast-Trading Strategies team’s openings.
We look for researchers and engineers sharing our values of excellence, drive, meritocracy, and integrity.
In return, you will be provided with the opportunity to work with industry experts and experience cutting-edge commercial quantitative finance research in one of the world’s leading systematic hedge funds.
Role and responsibilities
Machine learning engineers within FTS are responsible for architecting and developing a state-of-the-art turnkey research infrastructure and subsequently collaborating with quantitative researchers to leverage that infrastructure to research and develop highly profitable, fully systematic strategies.
Specific responsibilities will include :
- Building domain knowledge in liquid financial markets.
- Organising research pipelines with both third-party and in-house solutions.
- Streamlining FTS research workflows into cloud and on-prem research clusters.
- Implementing and integrating cutting edge ML and AI models for custom use.
- Serving finished ML models in production trading with low latency and high fidelity.
- Constructing novel features from orthogonal ideas and datasets.
- Back-testing signals to predict the movements of markets over time horizons spanning from minutes to days.
- Engaging in peer-review of research from across the team, and AHL more widely, to help drive top-quality research across the firm.
- Working with our technologists to help improve our trading platform and infrastructure.
Hiring requirements
- A strong academic background with a degree in a quantitative subject (e.g. Computer Science, Engineering, Physics, Applied Mathematics) from a leading university.
- Further degrees or postdoctoral roles are beneficial although not a requirement.
- Experience with either third-party or in-house research frameworks.
- A passion for highly efficient software to expedite both research and trading strategies.
- A clear and demonstrable interest in financial markets modelling and investing.
- Intellectual curiosity and a willingness to continuously learn and grow.
- Intermediate skills in at least one low-level programming language (e.g. C++, C, Java, Rust).
- The ability to communicate complicated ideas in a clear and concise manner.
About Man AHL
Man AHL is one of the world’s longest running diversified systematic investment managers, trading in over 800 markets globally and offering a range of absolute return and long-only quantitative strategies that invest across traditional and alternative markets.
With over three decades of quantitative investment experience, Man AHL is committed to constant innovation and evolution of research.
It applies advanced technology and scientific rigour to every stage of the investment process, from data curation and cleaning through to signal generation,
risk management and execution.
It views risk management and trading and execution as central to alpha generation, and its strategies are designed to understand risk, take appropriate exposures and, where necessary, dynamically adjust exposure.
Man AHL brings together scientists, academics, technologists and finance practitioners who are driven by curiosity, intellectual honesty and a passion for solving the complex problems presented by financial markets.
It works closely with the Oxford-Man Institute of Quantitative Finance (OMI), Man Group’s unique collaboration with the University of Oxford, and leverages insights from its field-leading academic research into machine learning and data analytics.
Founded in 1987,
Man AHL’s assets under management were $63.8 billion at 31 March 2024. Further information can be found at .
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.
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
- We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See and .
- Our Oxford lab is collocated with the Oxford-Man Institute of Quantitative Finance () and the Machine Learning Research Group in Engineering Science, University of Oxford ()
We offer competitive compensation, a generous holiday allowance, as well as 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.
New York only :
Base Salary Range : The anticipated based salary range for this position is $200,000 - $250,000 + benefits + a discretionary bonus.
This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant.
The Firm reserves the right to modify this pay range at any time.
Our Culture, Values and Benefits at Man
Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities.
At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values.
There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry.
Man Group is a Signatory of the Women in Finance Charter and the Race at Work Charter. Man Group is also a Disability Confident Committed employer;
if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working.
Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.
We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension / 401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave.
Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
▶️ Machine Learning Engineer - Fast Trading Strategies (New York)
🖊️ Man Group
📍 London