Quant Research Analyst, Intern

Requirements

• Prior internship in quantitative research or systematic investing
• Familiarity with China equity markets (A-shares, market structure)
• Versatility to move between research and engineering - equally comfortable exploring a novel idea and shipping high-quality code
• Education
• Currently enrolled at a top-tier university in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field
• Inclusion, Work-Life Balance and Benefits at Man Group
• Equal Employment Opportunity Policy
• 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 TalentAcquisition@man.com .

Benefits

Additional Information

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 $227.6 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 * As at 31 December 2025 Key Skills & Experience: Core Technical Strong Python proficiency - you'll use it daily for signal research, backtesting, data processing, and prototyping Solid foundation in quantitative methods : statistics, probability, optimization, and factor modeling Hands-on experience with ML/DL (PyTorch, TensorFlow, or similar) - not just coursework, but building and validating models end-to-end Practical exposure to LLMs and AI agents - whether prompt engineering, fine-tuning, or building LLM-powered research workflows Research & Domain Exposure to factor-based strategies, portfolio construction, or systematic alpha research - able to independently design, test, and critically evaluate signals with rigour Comfortable working with new or unstructured datasets - cleaning, exploring, and extracting value from imperfect data Ability to assist PMs with portfolio analytics - analysing return attribution, risk decomposition, and testing portfolio construction parameters

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Man Group? Share your experience