Quantitative Analytics Associate Off Cycle Internship 2027 Singapore

Barclays; Singapore; On-site; SGD 33,480 - 55,800; Full time

Job summary

Barclays is offering a 6-month internship program in Singapore, running from June to December 2027, focused on quantitative and analytical expertise across Markets and Risk business. Interns will develop and implement quantitative models, conduct data analysis, and collaborate with various teams to deliver customized solutions.

Candidates must be postgraduate students in a technical discipline, possessing strong programming skills in Python, C++ or Java, and excellent communication abilities. The role aims to provide practical experience in applying quantitative techniques to real-world business problems.

Qualifications

• Currently studying Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science or other related STEM disciplines.
• Strong programming skills required, particularly in Python, C++ or Java.
• Excellent communication and collaboration skills.

Responsibilities

• Develop and implement quantitative models and strategies for decision-making.
• Conduct research and data analysis to uncover market trends.
• Collaborate with teams to deliver customized solutions.

Skills

Programming skills in Python, C++ or Java

Quantitative analysis

Strong communication skills

Collaboration ability

Education

Postgraduate student in technical discipline

GPA of 3.2 or above

Job description

Role Overview

Bringing quantitative and analytical expertise to bear across the full spectrum of our Markets and Risk businesses. Early Careers colleagues are expected to play an important role in the design and development of risk management and trading strategies through 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.

Responsibilities

• 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 customised solutions and translate business needs into scalable technical tools.
• Work cross‑functionally with compliance, IT, and strategy teams to resolve system issues and continuously improve trading infrastructure.
• Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
• Collaborate closely with other functions and business divisions and lead a team in performing complex tasks, setting objectives, coaching employees and determining reward outcomes.
• Demonstrate leadership behaviours (listen, energise, align, develop) or, for an individual contributor, lead collaborative assignments, guide team members and identify the need for other areas of specialisation.
• Consult on complex issues, advise people leaders to support the resolution of escalated issues, mitigate risk, and develop new policies or procedures.
• Communicate complex information to stakeholders and influence or convince them to achieve outcomes.
• Showcase the Barclays values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays mindset of Empower, Challenge and Drive.

Internship Details

This internship is a 6‑month programme running from June to December 2027, based in Singapore.

Internship Tasks

• Apply quantitative techniques to solve real‑world business problems.
• Research, develop and implement new models and solutions.
• Improve the computing or data infrastructure.

Desired Skills & Experience

• Postgraduate student currently studying a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science or other STEM subjects.
• Strong programming skills, particularly in Python, C++ or Java.
• GPA of 3.2 or above.
• Excellent communication and collaboration skills, ability to identify the best solution and deliver at pace.
• Motivated to develop a deep understanding of Barclays business outcomes.

Legal and EEO Statements

Barclays is required by law to confirm that you have the legal right to work in any role 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 must be reviewed if they change. Failure to accurately disclose your visa status may result in withdrawal of your application or any employment offer.

The policy of Barclays is to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or civil partnership status, disability, protected veteran status, genetic information or any other basis protected by law.