Quant jobs / London Stock Exchange Group

Lead Data Scientist - AI

LSEG’s AI lead develops document-intelligence tools for financial information. The role evaluates and deploys models extracting and analysing filings, reports and statements.

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 financial-document extraction models.
Evaluate retrieval and language-model outputs.
Deploy reliable AI services.

What they ask for

Required

Python
Production AI
Document intelligence
Cloud deployment
Model evaluation

Preferred

DevOps

Education: Relevant bachelor’s degree or equivalent professional experience.
Experience: At least ten years of applied data-science experience.
Languages and tools: Python
TensorFlow
PyTorch
scikit-learn
Azure
AWS
LangChain
LlamaIndex

How to prepare

Evaluate extraction against labelled filings.
Test retrieval grounding.
Monitor model errors in production.

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 London Stock Exchange Group’s site before applying: requirements, location and pay can change after we check them.

View the posting on London Stock Exchange Group’s site ↗

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