Quant jobs / Barclays

Quantitative Analytics Market Risk Modeller

A model development role in Barclays' quant analytics team, building market risk models for regulatory and internal use. You'd work with a global quant team and regulators.

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.

Develop or enhance VaR, expected shortfall and FRTB model components
Build risk factor and exposure models and test them against history
Write documentation that independent validators can challenge
Implement models in tested Python or C++ code with technology
Support stress testing and capital model runs

What they ask for

Required

Market risk model development (FRTB, VaR, ES, IRC/DRC)
Stress testing and back-testing
Python, C++ or R
Numerical analysis
Model development or validation experience
Rates, equity, credit or commodity risk factors

Preferred

Master's or PhD in a quantitative subject
GARP-FRM, PRM or CQF

Education: Master's, PhD or similar in statistics, engineering, maths, physics, econometrics, financial engineering or CS preferred
Experience: Hands-on model development experience in market risk
Languages and tools: Python
C++
R
Markets: multi-asset

How to prepare

Implement historical and Monte Carlo VaR and ES on a real portfolio
Back-test a VaR model and explain the exceptions
Read the FRTB internal-model and standardised approach summaries
Write a model document in the style of a validation pack
Study risk factor modelling for rates and credit

What to study

The Risk 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.