Quantitative Researcher - Volatility

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 in order 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 $60.6 billion at 30 September 2022.

Further information can be found at www.man.com/ahl.

Role and Responsibilities

We are seeking highly motivated individuals with exceptional academic track records and well-developed practical skills to join our Volatility research team. 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. Your responsibilities will include:

• Researching, developing and implementing dynamic alpha strategies
• Presenting new/updated research within AHL and across Man Group
• Contributing to AHL's overall research effort by interacting with and collaborating with other research teams
• Following industry and academic literature for relevant innovations and suggest how Man/AHL could profit from it

Technology and Business Skills

• Strong academic record and a degree with high mathematical, statistical and computing content e.g., Mathematics, Computer Science, Engineering or Physics from a leading university
• Understanding of the underlying structures and behaviours of the financial markets
• Experience in volatility trading and modelling, and volatility systematic strategies
• Strong python programming ability. Ability to write clear, well documented and scalable code
• Strong inter-personal skills to enable communication across investment management teams and regions
• Awareness of various statistical and mathematical tools and techniques, and the ability to select the appropriate ones to use in different circumstances
• Ability to write clear, concise, and informative technical reports and proposals
• Ability to discuss and present complex ideas in an intuitive, easy to follow way