Quant Analytics Intern – Markets & Risk

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

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.