Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027

About the role

Quantitative Algorithm Development interns apply PhD-level research to automated trading, using Python/C++, machine learning, time-series methods, and large datasets. Interns rotate across teams, build predictive market models, run simulations, and collaborate with researchers and technologists. The summer program includes market education, mentorship, technical talks, and practical trading research.

Responsibilities

• Apply academic research to real-world trading problems across time horizons and machine learning strategies.
• Conduct quantitative research and data analysis using proprietary Python/C++ infrastructure and third-party tools.
• Use machine learning and time-series techniques to identify insights from large, complex market datasets.
• Run simulations and analyze data using the company’s industry-leading compute cluster.
• Build predictive financial-market models using market and non-market data.
• Rotate across teams and collaborate with researchers and technologists on trading problems.

Program Experience

• Attend Tech Talks covering markets and the company’s trading philosophy.
• Participate in speaker sessions, trading games, mentorship activities, and social events.
• Learn alongside researchers and technologists through self-guided research and team collaboration.

Requirements

• Be a full-time PhD student in mathematics, physics, computer science, statistics, operations research, machine learning, or another quantitative discipline.
• Demonstrate fluency in Python.
• Have experience with statistical analysis, numerical programming, or machine learning using Python, Pandas, NumPy, R, or MATLAB.
• Show enthusiasm for applying research expertise to identify opportunities in worldwide markets.
• Demonstrate strong communication skills.

Compensation and Application

• Weekly base salary: New York, 5,800 USD; Singapore, 7,650 SGD; London, 4,350 GBP.
• Additional benefits include a competitive signing bonus, company-paid housing, meals, and other perks.
• Applicants should apply to one role; applications are considered across all open positions.