Quantitative Research Internship, Bachelor or Master (Summer 2027 - Shanghai)

About the role

This eight-week Shanghai internship offers quantitative research experience within a technology-driven trading firm. Interns receive trading education, mentorship and hands-on research projects involving statistical modelling, machine learning, derivatives pricing, market analysis, portfolio optimisation and trading-system improvements, with potential to receive a graduate quantitative researcher offer.

Responsibilities

• Develop statistical and machine-learning models supporting trading algorithms and existing quantitative models.
• Build risk-management and portfolio-optimisation tools for execution algorithms.
• Analyse high-frequency strategies, market microstructure and financial instruments using big-data technologies.
• Develop stochastic models to determine the fair value of financial derivatives.
• Improve pricing engines, libraries and trading systems through quantitative analysis and high-performance implementation.
• Collaborate with traders, researchers and developers to test enhancements and improve trading outcomes.

Training and Development

• Complete lectures and coursework covering options pricing, financial markets, trading strategies and trading technology.
• Work within a research team under mentorship from senior researchers and an in-house education team.
• Gain exposure to several research teams and practical quantitative trading applications.
• Receive training, mentorship and personal development opportunities throughout the internship.

Compensation and Benefits

• Receive competitive remuneration, including an attractive bonus structure and additional leave entitlements.
• Access daily breakfast, lunch, an in-house barista, gym membership and sports activities.
• Participate in leisure activities, weekly chair massages, social events, clubs and Friday afternoon drinks.
• Work alongside diverse and technically strong colleagues in a collaborative environment.

Application

• Apply online with a resume and academic transcripts, including bachelor's, master's and doctoral records if applicable.
• Submit application materials in English; questions can be sent to [email protected].
• Only one application per role is accepted annually; unsuccessful applicants may reapply during the next 2027 recruitment season.