Quantitative Researcher - AI/ML
About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026 ML/AI: Key competencies Advanced degree in Computer Science, Statistics, Mathematics, Finance/Economics or related quantitative field from a top-tier institution Passion in investment research with strong intuition and the ability to think-out-of-the-box Background in core ML theory: optimization, probabilistic modeling, deep learning architectures (transformers, diffusion models, etc.) Strong publication record or thesis work in ML/AI (conference papers at NeurIPS, ICML, ICLR, ACL etc. are preferred); hands-on experience in fine-tuning large-scale foundation models Experience with cloud environments and multi-machine CPU/GPU setups Ability to communicate complex ideas clearly, strong collaboration skills to partner with other teams to implement ideas into products Prior experience in the investment field is a plus but not required What you will be doing Develop and improve AI-driven quantitative investment strategies in financial markets within the dedicated China research team. Support all strategies from alpha generation through to trade execution and implementation, working closely with other team members to design, build, and enhance strategies using cutting-edge machine learning and AI techniques. Core responsibilities include: Alpha Generation & Idea Discovery: Leverage large language models (LLMs), NLP, and alternative data pipelines to identify novel investment signals and innovative data sources Data Gathering & Refinement: Apply AI-powered data processing and feature engineering te...