Job Description

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.

The Team:

The AHL Investment and Data Implementation (IDI) team is organised into small cross-functional teams, spanning Hong Kong, London, Boston and Sofia with responsibilities for the implementation of all AHL new business (Funds, Investment strategies, new asset classes, new markets, etc.), the integrity of the inputs (data) and outputs (model signals) from the systematic models and long-term strategic development of our systematic trading platforms and processes.

IDI collaborate closely with Portfolio Managers, Quantitative Research, Trading, Technology, Risk, and Business Management to ensure smooth trading operations. IDI members are crucial in testing and implementing changes across various research and strategic platform initiatives. The role offers a high level of exposure across AHL and the wider Man Group, continually presenting opportunities to learn and develop, achieve new goals, nurture new relationships, and reach your full potential. Being part of the newly created Sofia team, you'll have the unique chance to shape its direction and growth from the ground up.

The Role:

As a member of the IDI team, you will oversee the daily management of AHL’s front office investment operations, trading systems and models. You will ensure data integrity, implement new business initiatives and research ideas, manage risk parameters and coordinate projects across a wide range of stakeholders.

Key Responsibilities:

• Monitor and ensure smooth operation of AHL's systematic trading systems and models swiftly diagnose and resolve time-sensitive issues intraday
• Manage daily front office operations, including maintaining and cleansing critical data for AHL's systematic trading algorithms and quantitative research teams. This includes trade signals, data feeds and other inputs used by AHL’s strategies
• Collaborate with peers and technology teams on projects to improve operational efficiency and contribute to trading platform enhancements
• Leverage technology including Gen AI, Python and SQL to enhance, automate, and streamline core investment and data management processes
• Design and support the architecture of AHL’s trading environment, including data aggregation, position management and component monitoring

Skills and Attributes:

Required:

• Ability to simultaneously manage multiple workstreams and competing priorities
• Dependable judgement under pressure and intellectual honesty
• Strong verbal and written communication
• Strong academic record and a degree with mathematical and analytical content.
• Interest in financial markets
• Basic knowledge of Python or similar programming languages for data manipulation and analysis
• Excellent attention to detail and a highly collaborative personality
• A keen analytic approach to problem-solving, distilling complex problems to enable timely resolution

Preferred:

• 1+ years relevant work experience in an operations role in the Investment Management/ Hedge Fund or Financial Services industry
• Experience steering or materially delivering into complex projects
• Ability to draw conclusions and portray findings by studying and visually representing structured and unstructured data
• Working understanding of the financial assets traded by AHL, including futures, FX, equities, options & bonds
• Experience developing Python scripts and SQL queries for data processing, analysis, and automated reporting