Quantitative Finance Associate Off Cycle Internship Programme 2027 London

Purpose of the Role

Bring quantitative and analytical expertise to bear across the full spectrum of our 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 quantitative analysis, mathematical modelling, and technology. The aim is to optimise trading processes, development practices, systems and infrastructure, as well as identify 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 technology tools.
• Work cross-functionally with Compliance, IT, and Strategy teams to resolve system issues and continuously improve trading infrastructure.

Assistant Vice President Expectations

• Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness; collaborate closely with other functions and business divisions.
• Lead a team performing complex tasks using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees, including performance appraisal against objectives and determination of reward outcomes.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate the following leadership behaviours: Listen and be authentic (L), Energise and inspire (E), Align across the enterprise (A), Develop others (D).
• Alternatively, as an individual contributor, lead collaborative assignments and guide team members through structured work; identify the need for inclusion of other areas of specialisation to complete assignments; identify new directions for assignments and/or projects; and apply cross-functional methodologies or practices to meet required outcomes.
• Consult on complex issues and provide advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and develop new policies and procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls related to the work performed.
• Perform work closely related to other areas, requiring an understanding of how areas coordinate and contribute to achieving organisational sub-function objectives.
• Collaborate with business-aligned support areas to stay up to speed with business activity and business strategy.
• Engage in complex analysis of data from multiple sources, including internal and external sources such as procedures and practices in other areas, teams, and companies, to solve problems creatively and effectively.
• Communicate complex information, including sensitive information or information that is difficult to communicate due to its content or audience.
• Influence or convince stakeholders to achieve desired outcomes.

Barclays Values and Mindset

All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Colleagues are also expected to demonstrate the Barclays Mindset: Empower, Challenge, and Drive.

Off-Cycle Internship Overview

Join us on an Off Cycle Internship for 3–6 months within one of our Quant-focused business areas. Immerse yourself in our work and culture, and gain invaluable insights through a longer internship.

Why the Quant Off-Cycle Internship Programme?

As an intern with Barclays, you’ll be embedded with one of our Quant teams. We’ll expect you to make a tangible impact on our business from day one, using the latest AI tools to work on algorithmic trading strategies, researching and developing models, or producing data analysis tools for valuation and risk management.

Quantitative Finance at Barclays

Our teams are an integral part of the bank, managing algorithmic trading strategies, researching and developing models, and producing data analysis tools for valuation and risk management across various business areas at Barclays.

Applying to our programme provides the opportunity to join one of our specialist teams, including:

Markets Quantitative Analytics (Markets QA)

Markets Quantitative Analytics develops the models, data science, and insights that underpin trading, risk management, and decision-making across Global Markets. By combining quantitative research, technology, and market expertise, the team automates strategies, enhances analytics, and delivers scalable solutions that improve franchise performance.

Risk Quantitative Analytics (Risk QA)

Risk Quantitative Analytics develops the models, analytics, and technology that enable Barclays to measure, manage, and optimise financial risk across the firm. By combining quantitative research and software engineering, the team delivers data-driven insights and scalable solutions that support decision-making, regulatory compliance, and risk management.

Electronic Trading (eTrading)

Markets Electronic develops, operates, and governs Barclays' global electronic trading capabilities, delivering the platforms, algorithms, quantitative models, client connectivity, and automation that enable clients to trade seamlessly across asset classes at scale. The team combines trading, quantitative research, data science, technology, and risk control expertise to drive revenue growth, market-making, execution quality, resilience, and innovation across Global Markets' eTrading franchise.

Who We’re Looking For

• Logical problem-solvers who have completed (or are in their final year of) a postgraduate qualification (Master’s degree or higher) in a technical discipline such as Physics, Mathematics, Operations Research, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects.
• Strong programming skills, particularly Python, C++, or Java.
• Strong communication and collaboration skills; ability to identify and deliver the best solution at pace.
• Readiness to develop a deep understanding of what the business does, why it does it, and how your role impacts business outcomes.

Working in London

If you love the buzz of city life, our global HQ is in Canary Wharf, at the heart of London’s financial district. Here, you’ll be positioned to explore the nation’s capital and to engage with the many functions and opportunities of a global financial giant. If you’re technically minded, you’ll get more from your tech career by collaborating with other brilliant minds on innovations that are redefining the future of finance.