Key Takeaways
- Develop and implement quantitative models and strategies for risk management and trading.
- Join a 1-year fast-track expert programme with bespoke training.
- Requires a strong degree (or expected) and mathematical/programming skills (C/C++ or Python).
- Applications close on 31 October 2026.
- Visa sponsorship is available for eligible candidates.
About the Role
This programme brings quantitative and analytical expertise to bear across the full spectrum of Barclays' Markets and Risk businesses. Early Careers colleagues are expected to play an important role in the design and development of risk management and trading strategies, through the use of quantitative analysis, mathematical modelling, and technology, with the aim of optimising trading processes, development practices, systems and infrastructure as well as identifying growth and investment opportunities.
Accountabilities
- Develop and implement quantitative models and strategies to enhance decision-making, pricing, and risk management.
- Design and maintain high-performance trading platforms and risk systems, integrating new features to improve reliability and user experience.
- Conduct research and data analysis to uncover market trends and drive innovation through advanced methodologies and technologies.
- Collaborate with traders, sales teams, and stakeholders in Risk and Finance to deliver customised solutions and translate business needs into scalable tech tools.
- Work cross-functionally with compliance, IT, and strategy teams to resolve system issues and continuously improve trading infrastructure.
The Expert Programme
You'll join our expert programme, a 1-year targeted, fast-track programme designed to give you depth and breadth of experience. Participating in job-based bespoke training from the start enabling you to go fully-equipped into your role as you develop specialist technical expertise.
Why the Quant Graduate Programme?
Our team is an integral part of the bank, researching and developing models and producing data analysis tools for valuation and risk management across various business areas at Barclays.
Risk Quantitative Analytics (Risk QA)
As a Graduate in Risk Quantitative Analytics (Risk QA), you will join a group of specialised modellers and developers powering Barclays' ability to manage financial risk. From day one, you’ll be part of a team that uses statistical methods, AI techniques, and coding strategies to build the tools and models Barclays uses to make big decisions. Along the way, you’ll collaborate with colleagues across risk, finance, global markets, and technology - gaining exposure to how different parts of the business come together to navigate market shifts and meet regulatory demands.
The Chance to Make an Impact
We’ll provide you with challenging projects and opportunities to grow and learn. We’ll keep you motivated with encouragement, feedback and support as you build your technical know-how, business acumen and leadership skills. We’ll help you connect with mentors, and network with colleagues and senior leaders alike.
Entry Requirements
- Motivated with a strong degree or expected degree achieved before June 2027.
- Strong mathematical and programming skills, ideally in C/C++ or Python.
- Logical thinking, creative problem solving and strong communication skills.
Working In Glasgow
Our brand new state-of-the-art campus in Glasgow is somewhere you'll want to work. It's the home of a team of colleagues who thrive in an environment designed with collaboration and the future of work in mind. The campus is made up of creative spaces and technology with hybrid working opportunities at the heart.
Application Information
- The closing date for applications is 31 October 2026.
- Please note that this vacancy may close ahead of the advertised date due to application volumes, and we therefore recommend submitting your application as early as possible.