Susquehanna is looking to solve complex problems in global markets by applying machine learning and advanced quantitative research to vast datasets to uncover actionable insights and build effective strategies.
Requirements
Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
Responsibilities
Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
Execution. Create strategies to execute on modelling ideas under simulated competition
Evaluation. Backtest ideas using historical market data and revise strategies
Breadth. Explore all aspects of quant work and different areas of Susquehanna’s business
Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business
Other
Masters (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
Clear communicators in a fast-paced and highly collaborative environment
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
