Barclays
Quantitative Finance Associate Off Cycle Internship Programme 2027 London
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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.
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 customized 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.
Assistant Vice President Expectations
- To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
- Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
- If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are:
- L – Listen and be authentic
- E – Energise and inspire
- A – Align across the enterprise
- D – Develop others
- OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
- 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.
- All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
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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.
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 have 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 program 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.
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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 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.
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.
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 their programme start date to their programme end date. The relevant start and end dates for this programme will be those confirmed to successful applicants.
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