Quantitative Analytics Associate Graduate Programme
London, Greater London, W1B, England, UK
Listed on 2026-09-13
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Finance & Banking
Data Scientist
If you're a recent graduate or soon-to-be graduate, join us and unlock a world of carefully curated experiences, knowledge, and connections to shape your career. Along the way, you can expect all the training and support you need to make your mark on the world. Put simply, we'll empower you to help determine how we do things and where we go next.
Our graduates are a vital part of our success. If you're curious, creative, and ambitious, this is a world in which you can truly belong.
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.
To be considered for this opportunity, you'll be motivated with a strong degree or expected degree achieved before June 2027.
You’ll have strong mathematical and programming skills, ideally in C/C++ or Python, along with logical thinking, creative problem solving and strong communication skills.
Barclays will accept applications from candidates who require visa sponsorship to work in the UK and will provide a skilled worker visa for successful applicants if they meet the Home Office's eligibility criteria for a skilled worker visa.
Successful applicants who are not eligible to receive a skilled worker visa, and who we are therefore unable to secure a skilled worker visa for, will be required to have their own legal right to work in the UK on a full-time basis from August 2027 to August 2028.
Working In LondonIf you love the buzz of city life, our global HQ is the place to be. Our London hub is in Canary Wharf, at the heart of London's financial district. Here, you won't just be perfectly placed to explore the nation's capital; you'll be in a place where you can explore the many functions and opportunities of a global financial giant.
It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, protected veteran status, genetic information, or any other basis protected by law.
The closing date for applications is 25 September 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.
Purpose of the roleBringing quantitative and analytical expertise to bear across the full spectrum of our Markets and Risk businesses. Our 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…
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