Quant jobs / Man Group

Quantitative Researcher – ML

A machine-learning research role in Man Group's dedicated China research team. The work applies LLMs, deep learning and alternative data to investment strategies.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Mine LLMs, NLP and alternative data for new signals
Build AI-based data cleaning and feature pipelines
Train deep learning, reinforcement learning and statistical ML models and backtest them
Explain model outputs to investors and colleagues
Research ML-based cost models, risk models and portfolio optimisation

What they ask for

Required

Advanced degree in computer science, statistics, maths or finance
Core ML theory (optimisation, probabilistic modelling, deep learning)
Thesis or publications in ML or AI
Experience fine-tuning large foundation models
Cloud and multi-machine CPU/GPU experience
Strong communication

Preferred

Papers at venues such as NeurIPS, ICML, ICLR or ACL
Investment experience

Education: Advanced degree in computer science, statistics, maths, finance or economics from a top institution
Experience: Not specified; ML research record expected

How to prepare

Fine-tune a language model on financial text and test return predictability
Review transformers and other modern architectures
Study ML-based risk and cost modelling
Prepare to present your research publications

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Man Group’s site before applying: requirements, location and pay can change after we check them.

View the posting on Man Group’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Man Group and doesn’t handle applications.