Summary
Susquehanna International Group is a global quantitative trading firm that focuses on scientific rigor, curiosity, and innovation. As a Quantitative Research Intern, you will engage in projects that model the work of full-time employees, build foundational knowledge in quantitative finance, and have the opportunity to create and evaluate trading strategies.
Responsibilities
- Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
- Create strategies to execute on modelling ideas under simulated competition
- Backtest ideas using historical market data and revise strategies
- Explore all aspects of quant work and different areas of Susquehanna’s business
- Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
- Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business
Skills
- 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
- Programmers comfortable processing and analyzing large data sets in Python
- Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
- Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
- Experience with C++ (or another low-level language) is a plus
Qualifications
Must Haves
- 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
- Programmers comfortable processing and analyzing large data sets in Python
- Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
- Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
Nice to Haves
- Experience with C++ (or another low-level language) is a plus