Quantitative Research Intern

Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern, you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.

Requirements

• Create practical solutions to problems presented in the trading environment
• Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
• Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities
• Work closely with traders and researchers to build and refine research infrastructure and tools
• Pursuing a Bachelor's, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields
• Proficiency in Python programming experience using the Python machine learning stack
• Proficient programming skills with experience exploring large datasets
• Strong analytical and problem-solving skills including a solid foundation of statistics knowledge
• Working knowledge of probability theory, stochastic calculus and numerical algorithms
• Excellent written and verbal communication skills to report research results as well as methodologies

Benefits

• Meaningful projects with comprehensive learning experience
• Community with educational, social and team-building activities
• Mentorship with experienced mentor in your field
• Education with options course and technology immersion course