2027 Quantitative Analytics Associate Graduate Programme London at Barclays in Canary Wharf, 1 Churchill Place
- Company: Barclays
- Location: Canary Wharf, 1 Churchill Place
- Posted: Sep 17, 2026
- Type: Full-time
- Visa sponsorship available
Overview
Purpose of the role Bringing 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 quan…
Job description
- Purpose of the role
- Bringing 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.
- 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.
- 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.
- As a Graduate in Risk Quantitative Analytics (Risk QA), you will join a group of specialised modellers and developers powering Barclay’s 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.
- 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.
Responsibilities
- 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.
Requirements
- To be considered for this opportunity, you'll be motivated and have achieved, or be on track to achieve, a Master's degree or higher qualification by 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.
Skills
Required
- Strong mathematical skills
- Programming skills in C/C++ or Python
- Logical thinking
- Creative problem solving
- Strong communication skills