Quantitative Research Intern

As a Quantitative Research Intern, you will have the 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

• 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: numpy, pandas, scikit-learn, etc.
• 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 such as finite differences, Monte Carlo simulation, etc.

Benefits

• Meaningful projects
• Community: social and team-building activities
• Housing: fully furnished apartments
• Mentorship: professional relationship with an experienced mentor
• Education: options course and technology immersion course