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Date live:
Apr. 24, 2026
Business Area:
Risk
Area of Expertise:
Risk and Quantitative Analytics
Reference Code:
JR-0000107338
Contract:
Permanent
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Explore locationQA Wholesale Credit Risk (WCR) develop models for capital (Basel), impairment (IFRS9), and stress testing (CCAR, PRA, EBA). Model outputs are utilised across a range of risk metrics, including RWA, pricing, Economic Capital, and for credit sanctioning. The model scope covers the Corporate and Investment Bank (CIB) within Barclays International (BI).
Overall purpose of role
Support the development, calibration, monitoring and documentation of credit risk models in line with regulatory requirements, e.g. Basel, CRR, CCAR, IFRS9
Enhance model management through automation and development of new approaches
Key Accountabilities
Develop new credit risk models, contributing to the development through approval
Validate performance of new models
Document new models to required standards
Manage parts of complex projects, liaising with stakeholders to ensure project progress
Motivate team members and junior staff to deliver high quality output within tight deadlines
Person Specification
Has developed, validated, reviewed or applied statistical models within credit risk domain
Understands the quantitative techniques used in developing and validating PD, LGD, and/or EAD models
Demonstrates ability to work in an environment where modelling decisions are regularly challenged
Essential Skills/Qualifications:
Post-graduate degree in a quantitative discipline, such as Statistics, Mathematics, Econometrics, Physics, Engineering, with experience of developing and applying statistical models within credit risk domain
Excellent knowledge of statistics, e.g. regression analysis, reject inference, decision trees, confusion matrix, cross-validation
Track record of producing high quality written communication including results of research and presentations for technical and non-technical audiences
Numerical programming ability using R and/or Python
Working experience with SQL
Experience in data visualization, cleaning, and feature extraction
Desirable skills/Qualifications:
Experience with the Latex document preparation system
Knowledge of at least one static typed language; C++, Java, C# or other programming languages
Familiar with continuous integration development framework (e.g. Teamcity), and source control (P4, Git, SVN)
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
This role will be based in Glasgow.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.