Quantitative Research Intern

Skills

About the Role

You will solve trading-environment problems using statistical algorithms, machine learning techniques, and derivatives pricing theory. You will analyze market data and historical trends, formulate quantitative models, identify trading opportunities, and work with traders and researchers to build and refine research infrastructure and tools.

Requirements

• Pursuing a bachelor's, master's, or PhD in a technical discipline focused on statistics, optimisation, machine learning, artificial intelligence, quantitative finance, or a related field
• Expected graduation date between December 2027 and October 2028
• Proficiency in Python using NumPy, pandas, scikit-learn, and related machine learning tools
• Programming experience exploring large datasets
• Strong analytical and problem-solving skills with a foundation in statistics
• Working knowledge of probability theory, stochastic calculus, and numerical algorithms
• Excellent written and verbal communication skills
• Exposure to natural language processing or high-performance computing is a plus

Responsibilities

• Create practical solutions to problems in the trading environment
• Conduct statistical analysis of market data, historical trends, and relationships across asset classes
• Formulate and apply mathematical models, quantitative methods, and machine learning techniques
• Identify and capture trading opportunities
• Work with traders and researchers to build and refine research infrastructure and tools

Benefits

• Organized social events
• Educational activities
• Team-building activities
• Fully furnished apartments located close to the office
• Options course
• Technology immersion course