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Quantitative Analytics Associate Discovery Programme 2026 Singapore

Barclays

Barclays

Data Science
Singapore
Posted on Jan 26, 2026

The Discovery Programme is designed for students to experience what it means to be at Barclays firsthand. Through interactive sessions, students gain exposure to the industry, develop professional skills, and build connections with Barclays employees.

This programme is tailored for high-achieving students who want to explore the impact they can make in a global investment bank. It’s a perfect stepping stone to our 6-month internship as you can be assessed for the Off Cycle Internship in 2027 before anyone else.

Quantitative Analytics


Our Quantitative Analytics team is a global organisation of highly specialized 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.

What you can expect


Part 1: Tuesday, 17th March 2026

  • In-person programme
  • Join seminars and workshops, where you’ll learn about financial services, your chosen business area, the recruitment process and Barclays as an employer
  • Participate in specific breakout sessions for your business area, where you'll gain insights of what you can expect from the Off Cycle Internship in 2027
  • Build your understanding of the assessment process and next steps
  • Connect with people from across our business, including current graduates who have already made the journey that you are starting out on
  • Attend dedicated networking sessions with senior leaders and graduates aligned to your chosen business area


Part 2: Multiple dates during the first two weeks of April (dates will be shared if you are shortlisted)

  • You can be assessed for the 2027 Off Cycle Internship (6 months) by taking part in a series of interviews


What we look for

  • You are graduating between December 2027 and June 2028
  • You have a GPA of 3.2 or above
  • You are pursuing a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects
  • Ideally, you'll have strong programming skills (particularly in Java, C++, or Python) along with a knack for logical thinking and creative problem solving. You'll be great at communicating and collaborating
  • You are curious to understand how a global bank adapts in a constantly evolving environment


Application Deadline: Monday, 2nd March 2026

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

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.