Quantitative Research Intern

Summary

Join our team as a Quant Researcher Intern and contribute to the development and implementation of innovative trading strategies. This fully remote internship, ideally for candidates based in Hong Kong or other Asian cities, offers flexibility in start dates. The role demands strong coding skills (Python, Golang, or C++), a passion for quantitative trading, and experience in a proprietary trading firm or hedge fund. You will conduct research, develop and test trading strategies, and automate processes. Successful candidates will possess an MSc/PhD from a top-tier university in a STEM field and a proven ability to work independently on research projects.

Requirements

• Possess an MSc / PhD in a research-intensive STEM field (Computer Science, Statistics, Mathematics, Physics, Engineering etc)
• Have a degree from a top-tier university
• Demonstrate a passion for developing quantitative trading strategies as well as analyzing and drawing conclusions from large datasets
• Be self-motivated and possess a strong research mindset
• Have strong coding skills; 2 to 5 years of experience coding in Python, Golang, or C++ is required (test required)
• Have completed at least a 3-month internship or full-time position at a proprietary trading firm or hedge fund as a Quantitative Researcher/Trader, with prior involvement in alpha-related projects during the internship (school projects are not considered, nor is experience as a data analyst)

Responsibilities

• Conduct research and development when testing and asset trader on developing new trading strategies
• Research, implement, and execute strategies
• Automate strategies where applicable
• Finish several research projects independently with guidance from the team during this internship period

Preferred Qualifications

• Have experience with Machine Learning, Natural Language Processing or Deep Learning
• Have knowledge of the DeFi and Web 3.0 ecosystem

Benefits

• Fully remote internship position
• Internship can start at your preferred date upon discussion with the team