Quant jobs / Barclays

Quantitative Analytics Associate – Graduate Programme 2027

A graduate programme in the quant analytics group, joining either markets quants (front-office pricing and credit risk) or statistical modelling quants (default, recovery and balance-sheet models). It starts with several weeks of training.

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.

Complete intensive training in products and models
Join a desk and help build or test pricing or valuation models
Or help develop statistical models for default, exposure and forecasts
Write Python or C++ code for model implementation
Support users of the models and the validation process

What they ask for

Required

Master's or higher (or final year) in a technical subject
Mathematical skills
Programming in C++ or Python
Problem-solving
Fluent English

Preferred

Communication and teamwork
Interest in banking and capital markets

Education: Postgraduate degree (completed or final year) in physics, maths, quantitative finance, economics, statistics, CS or other STEM
Experience: New graduates
Languages and tools: C++
Python
Markets: multi-asset

How to prepare

Build a pricing model and a credit default model so you can pick either track
Practise C++ and Python coding exercises
Revise probability, statistics and stochastic calculus
Learn the basics of exposure and counterparty risk
Prepare to explain a past project clearly to non-specialists

What to study

The Derivatives Pricing Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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

View the posting on Barclays’s site ↗

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