Quant jobs / Barclays

Rates Quantitative Analyst – VP

A front-office quant role at Barclays building stochastic interest-rate models for pricing and risking vanilla and exotic rates derivatives. You work with trading, structuring and sales teams on the structured rates business.

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 and implement interest-rate models for exotic and structured rates products
Calibrate volatility surfaces and curves for options and swaptions
Maintain production-grade pricing libraries used by the desk
Support traders and structurers with pricing and risk questions

What they ask for

Required

Stochastic interest-rate modelling
Curve construction and volatility surface calibration, such as SABR
Multi-factor short-rate models for exotics
C++ and Python
Numerical methods
Front-office pricing and risk experience

Preferred

US rates markets: swaps, swaptions, caps/floors, CMS
Municipal derivatives
Stakeholder communication

Education: No degree level stated; deep quantitative methods expertise
Experience: Front-office rates quant experience at VP level; years not stated
Languages and tools: C++
Python
Markets: fixed-income

How to prepare

Implement SABR calibration to a swaption volatility cube
Build a multi-curve discounting framework and price swaps and caps
Study short-rate models such as Hull-White and their numerical implementation
Write a clean C++ library with a Python wrapper

What to study

The Rates 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.