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From the employer's careers site First seen 29 Oct 2026 · Still live on 5 Nov 2026

Quantitative Analytics Intern

Barclays Hong Kong On-site entry internship

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Description

We are seeking a Quantitative Analytics Intern to join our team in Hong Kong for a 6-month programme from June to December 2027.

As a Quantitative Analytics Intern, you will bring quantitative and analytical expertise to bear across the full spectrum of our Markets and Risk businesses. You will 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.

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 customized solutions and translate business needs into scalable tech tools.
  • Work cross-functionally with compliance, IT, and strategy teams to resolve system issues and continuously improve trading infrastructure.

Requirements:

  • Postgraduate student with an anticipated graduation date between December 2027 – June 2028.
  • 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.
  • Strong programming skills, particularly Python, C++, or Java.
  • GPA of 3.2 or above.
  • Excellent communication and collaboration skills.

Benefits:

  • Opportunity to work on cutting-edge quantitative and technology problems.
  • Collaborative and supportive environment.
  • Comprehensive training programme.
  • Potential full-time employment opportunities upon completion of internship.

Skills

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