Quantitative Analytics Associate Off Cycle Internship 2027 Singapore

About the role

This internship is a 6-month programme running from June to December 2027, based in Singapore. The team that delivers world-class solutions Our Quantitative Analytics team is a global organisation of highly specialised modellers and developers responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for valuation and risk management across all asset classes. The ability to articulate your ideas will be crucial as you work closely with business partners to develop models and tools. Joining a group that partners with traders and stakeholders across the bank, you'll gain the widest exposure to a variety of modelling techniques and instruments to help drive business strategy. The chance to make a real impact As an intern in the Quantitative Analytics team, you'll gain valuable exposure to real-world problems in our dynamic and invigorating environment. During your internship, you will have the chance to work on cutting-edge quantitative and technology problems, which include: - apply quantitative techniques to solve real-world business problems - research, develop and implement new models and solutions - improve our computing or data infrastructure. A place where you can thrive At Barclays, you'll be surrounded by experts in the industry, who will help you achieve your goals and ambitions. Our collaborative, supportive environment gives you the chance to build solid relationships with senior leaders and peers alike. During the programme, you'll also benefit from in-depth, comprehensive training. What's more, this could be the beginning of an exciting and rewarding career. We offer full-time employment opportunities to those interns demonstrating excellent work ethics and technical competence upon the completion of their internship. Who we're looking for Logical problem-solvers do well here. To be considered for this programme, you must be a postgraduate student with an anticipated graduation date between December 2027 - June 2028. You should be working towards a postgraduate degree in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects, with strong programming skills, particularly Python, C++, or Java. Ideally, you would also have a GPA of 3.2 or above and 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. This is a future position to start in June 2027 Ready to apply? Visit search.jobs.barclays to learn more about our opportunities and apply. Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time. 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. 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 translat

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