Job description

Off-Cycle Internship Overview

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

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Why the Quant Off-Cycle Internship Programme?

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: 

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Markets Quantitative Analytics (Markets QA)

As a Markets QA intern, you’ll be developing mathematical models, statistical techniques and computational tools by working with diverse teams spanning trading, technology and risk. Leveraging quantitative finance models and AI/ML techniques, you’ll develop data driven insights that improves decision making and partner with trading desks to automate strategies, manage risks and deliver franchise benefits.

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Risk Quantitative Analytics (Risk QA)

As an intern 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.  

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Electronic Trading (eTrading)

As an eTrading intern, you’ll take your first steps in the extremely challenging and fascinating world of algorithmic trading & data science. Working with a broad spectrum of colleagues, you’ll learn how data science fits into our business. What’s more, you’ll help our team to turn mathematical and algorithmic ideas into trading reality.

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The chance to make an impact

From beginning to end, we’ll do everything in our power to make sure you get the very most from your internship, including matching you with a team that best aligns with your strengths.

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We’ll surround 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. If you perform well, this could be the beginning of an incredible career with Barclays.

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Quantitative Finance at Barclays

Logical problem-solvers do well here. You’ll have completed (or be in your 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, with strong programming skills, particularly Python, C++, or Java.

You’ll be great at communicating and collaborating – driven to identify the best solution to a problem and then motivated to deliver that solution at pace.

You’ll also be ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes.

These are qualities people at Barclays have in abundance, and we’ll help you further develop them from the day you arrive.

Barclays will accept applications from candidates who require visa sponsorship to work in the UK.

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Working in London

If 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 all the many functions and opportunities of a global financial giant. And if you’re technically minded, you’ll get more from your tech career by collaborating with other brilliant minds on game-changing innovations that are redefining the future of finance.

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Purpose of the role

To support the day-to-day operations of the Quantitative Analytics (QA) group by providing analytical insights and expertise that will help our business leaders and stakeholders make informed decisions, support existing trading strategies, develop new products strategies and services, as well as identify new market opportunities. Generating analytical insights and providing expertise that will help our business leaders and stakeholders make informed decisions, support existing trading strategies, develop new products strategies and services, as well as identify new market opportunities.

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Accountabilities

• Application of the latest quantitative techniques to solve business problems, research, development, and implementation of new models and solutions and improve the bank’s computing and data infrastructure.
• Collaboration with cross-functional teams and senior management to progress business initiatives.
• Participation in training and development programmes to enhance skills and knowledge. Conduct research to support strategic decision making, prepare presentations and reports to communicate research findings, and collaborate with senior management to implement research findings.
• Design, development of the quantitative research framework using domain specific languages.
• Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products.
• Training and mentoring of junior colleagues.

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Assistant Vice President Expectations

• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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Further Accountabilities

• Participation in quantitative research, technical design and development of our global team’s quantitative research systems and algorithmic trading stack.

• Application of the latest quantitative techniques to solve business problems, researching, developing, and implementing new models and solutions aimed at improving the bank’s client offering and risk infrastructure.

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Additional Assistant Vice President Expectations

• Engage in complex analysis of data from multiple sources of information, internal and external sources to solve problems creatively and effectively.

• Communicate complex and/ or sensitive information in a clear and professional manner.

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