2027 Markets Quantitative Trading & Research Analyst Program – Off-Cycle Internship - Hong Kong

Over the duration of 3–6 months, you will build mathematical models and tools, gain exposure to risk modeling and investment banking, and develop through hands-on projects, mentorship, and a speaker series. Based on individual achievements, successful program participants may receive offers of full-time employment.

You can launch your career with us on one of several opportunities:

Job Responsibilities

• As an analyst in Quantitative Trading & Research (QTR), gain exposure across Derivatives Pricing, Risk Management & Electronic Execution, and Systematic, Data-Driven Trading Analytics teams that drive innovation and process optimization using machine learning (e.g., collaborative filtering, deep learning, reinforcement learning) across sales/client engagement, risk, portfolio optimization, and electronic trading/market making.
• Partner with traders, marketers, and risk managers across products and regions to support sales, client engagement, product innovation, valuation, and risk management.
• Develop and implement mathematical models for pricing, hedging, and risk measurement of derivative securities, including models for algorithmic strategies, Delta-One strategies, and inventory management.
• Support both OTC and electronic trading activities by explaining model behavior, identifying key portfolio risk sources, conducting scenario analyses, developing and delivering quantitative tools, and researching new trading ideas.
• Assess the appropriateness and limitations of quantitative models, monitor model risk, and implement valuation, risk, and trading models in production systems.
• Design efficient numerical algorithms and implement high-performance computing solutions; design and develop software frameworks for analytics and their delivery to systems and applications.
• Apply machine learning and other advanced analytics to enhance sales and client engagement, risk management, portfolio optimization, and electronic trading and market making.
• Contribute to business outcomes and the client franchise by identifying revenue opportunities and developing market intuition, including cross-asset impacts.
• Apply advanced analytics to pricing, hedging, and idea generation; research medium- to high-frequency trading strategies; develop portfolio construction methods and new systematic modeling approaches.

Required Qualifications, Capabilities and Skills

• Expected graduation beyond December 2027
• Currently pursuing a Master’s in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science, Machine Learning, Statistics)
• Proficiency in at least one programming language (e.g., Python, Java, JavaScript, C++, C#)
• Demonstrated quantitative and problem-solving skills, as well as research ability
• Strong communication skills—able to explain technical concepts verbally and via documentation, including to non-technical audiences

Preferred Qualifications, Capabilities and Skills

• Understanding of advanced mathematics used in financial modeling (e.g., probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization, machine learning, statistics, econometrics)
• Knowledge of options pricing theory, trading algorithms, or financial regulations
• Interest in what makes you unique, including personal qualities and achievements beyond academia and profession
• Candidates requiring visa sponsorship may apply

Application Deadline

29 November (23:59 Hong Kong time)

Applications will be reviewed on a rolling basis. Submitting early is strongly encouraged, as programs close once positions are filled.

What’s Next

Submit a complete and thoughtful application, including your resume. After you confirm your application, it will be reviewed to determine whether you meet the required qualifications.