Quantitative Systematic Trading Internship - Master's: Summer 2027 (Quantitative Trading)

Location: U.S.-based internship with full-time placement in the Hong Kong office upon graduation; onsite

Company

hirify.global is a global quantitative trading firm using scientific research, machine learning, and advanced technology to develop systematic trading strategies.

What you will do

• Apply probability theory, statistical analysis, and machine learning to predict market behavior and generate alphas.
• Develop strategies for executing modeling ideas in simulated trading competitions.
• Backtest trading ideas on historical market data and refine strategies based on results.
• Explore quantitative work across different areas of the business and collaborate with multiple teams.
• Participate in structured education and receive mentorship from experienced quantitative finance professionals.

Requirements

• Master's degree in a quantitative field, with expected graduation after the internship, such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics.
• Strong analytical and logical problem-solving skills, with an interest in turning data into decisions.
• Python programming experience for processing and analyzing large datasets.
• Clear communication skills and the ability to collaborate in a fast-paced environment.
• Interest in strategic games and/or competitive activities.
• Self-motivation and the ability to learn quickly in a dynamic environment.

Nice to have

• Experience with C++ or another low-level programming language.

Culture & Benefits

• Open, intellectually driven, and highly collaborative working environment.
• Interaction with researchers, engineers, traders, and multiple business groups.
• Comprehensive quantitative finance education program.
• Personalized mentorship from experienced professionals.
• Visa sponsorship is available.

Hiring process

• Applicants are automatically considered for the Quantitative Research Internship program as well.