Quant jobs / Barclays

Quantitative Analytics – Credit and Market Risk AVP

A model development role in Barclays' quant analytics team, with openings in wholesale credit risk, counterparty credit risk and market risk. You would build regulatory and internal risk models.

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 PD, LGD, EAD or stress testing models for the wholesale book
Or build counterparty exposure models (IMM, SA-CCR, CVA, PFE) using Monte Carlo
Or work on FRTB, VaR and expected shortfall models
Implement and back-test models with Python, R or C++
Document models for validators, audit and regulators

What they ask for

Required

Hands-on coding (Python, C/C++ or R)
Model development or validation experience
Knowledge in one of credit risk, CCR or market risk areas
Stress testing and scenario modelling
Statistical modelling
Regulatory frameworks (Basel, SR 11/7)

Preferred

IFRS9, CECL or CCAR experience

Education: Not stated
Experience: Prior model development or validation in credit, counterparty or market risk
Languages and tools: Python
C++
R
Markets: credit, multi-asset

How to prepare

Pick a track and implement its core model (PD scorecard, exposure Monte Carlo or VaR)
Learn the Basel capital framework at a high level
Back-test and document your model as a validator would expect
Study CVA and potential future exposure basics
Practise writing clean, tested Python or C++

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.