Quant jobs / G-Research

Natural Language Processing Researcher

An NLP research role at G-Research, working with quant researchers on huge text corpora and large language models. The aim is to find text-based features that predict market behaviour.

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.

Build features from real-time text feeds using modern NLP and LLM techniques
Adapt language models to finance-specific tasks
Test whether text signals predict market moves
Turn research ideas into working code

What they ask for

Required

Expert NLP or related ML knowledge
LLM adaptation methods such as fine-tuning and low-rank adaptation
Applied tasks like embeddings, sentiment and entity recognition
Python with PyTorch, vLLM or similar
Master's or PhD, or working towards one
Interest in finance

Preferred

Publications at ACL, EMNLP, NeurIPS or ICML
Strong communication

Education: Master's or PhD (or in progress) in NLP or a related quantitative subject
Experience: Academic or industry NLP research; no finance experience required
Languages and tools: Python

How to prepare

Fine-tune a small open language model on a domain text task and document results
Build a news-sentiment signal and test it for predictive value
Study how to avoid leakage when text and prices are timestamped
Learn efficient inference and training tricks like quantisation and LoRA

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 G-Research’s site before applying: requirements, location and pay can change after we check them.

View the posting on G-Research’s site ↗

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