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BarclaysHong KongInternship
Quantitative Analytics Associate Off Cycle Internship 2027 Hong Kong
This 6-month Quantitative Analytics internship in Hong Kong offers postgraduate students hands-on experience in developing quantitative models and trading strategies, collaborating with business partners, and enhancing risk management systems from June to December 2027.
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Role and Responsibilities
- Develop and implement quantitative models to improve decision-making, pricing, and risk management.
- Design and maintain high-performance trading platforms and risk systems with new features.
- Conduct research and data analysis to identify market trends and drive innovation.
- Collaborate with traders, sales, risk, and finance teams to deliver tailored solutions.
- Work cross-functionally with compliance, IT, and strategy teams to improve trading infrastructure.
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Team and Environment
- Join a global Quantitative Analytics team specializing in valuation and risk management models.
- Work closely with traders and stakeholders across the bank to develop models and tools.
- Gain exposure to various modelling techniques and asset classes.
- Benefit from a collaborative and supportive environment with expert colleagues.
- Build relationships with senior leaders and peers during the programme.
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Candidate Requirements
- Postgraduate student graduating between December 2027 and June 2028.
- Degree in Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or related STEM fields.
- Strong programming skills in Python, C++, or Java.
- GPA of 3.2 or above preferred.
- Excellent communication and collaboration skills.
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Programme Details
- Duration: 6 months, June to December 2027, based in Hong Kong.
- Comprehensive training provided throughout the internship.
- Opportunity for full-time employment upon successful completion.
- Focus on solving real-world quantitative and technology problems.
- Work on improving computing and data infrastructure.