Quant jobs / Barclays

2027 Quantitative Analytics Associate Graduate Programme – Glasgow

A one-year graduate programme in Barclays' Risk Quantitative Analytics team, which builds the models and tools behind valuation and risk management. The Glasgow campus role offers hybrid working.

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.

Help build and test models and data analysis tools for valuation and risk
Implement quantitative models in code alongside senior modellers
Join cross-team projects with traders, risk and finance
Learn the bank's model development and control process through structured training

What they ask for

Required

Strong degree achieved or expected before June 2027
Strong mathematical skills
Programming, ideally C/C++ or Python
Logical thinking and problem solving
Clear communication

Education: Strong degree completed by June 2027; level not otherwise specified
Experience: New graduates; applications close 27 November 2026
Languages and tools: C++
Python
Markets: multi-asset

How to prepare

Revise probability, statistics and numerical methods to a strong level
Implement a small Monte Carlo pricer or VaR calculator in Python or C++
Learn the basics of derivatives and how banks measure market risk
Practise interview-style maths and coding questions

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.