Quantitative Analytics Associate Off Cycle Internship 2026 Hong Kong

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

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 programs 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.

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.

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 an undergraduate (for our Analyst role) or postgraduate (for our Associate role) with an anticipated graduation date between December 2025 – June 2026. You should be working towards an undergraduate or 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.

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.