Jane Street - Quantitative trader internship, June-September

About the Position

As a Quantitative Trading Intern, you'll be paired with experienced traders who will teach you how to identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition. You'll work on projects alongside mentors in two different areas of trading, giving you a sense of the variety of problems we solve every day. In the past, these projects have included conducting studies on new or existing datasets, building quantitative models, writing tools, and even considering big-picture questions that we're still trying to figure out.

Throughout the summer, you'll also participate in dozens of simulated interactive team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating.

This work is reinforced with intensive classes on the broader fundamentals of markets and trading, workshops on various tools we use, and interactive lunch seminars with senior traders. During the second half of the internship, you will also get to participate in one "elective" based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what trading and research can look like at Jane Street:

• Algorithmic Trading and Market Microstructure: You'll learn the end-to-end process of developing an algorithmic trading strategy. Whilst being mentored by full-time traders, you'll analyse market data to develop a tradable fair value and implement a trading strategy in Python. Your algorithmic strategy will connect directly to simulated markets with different market structures, and you will learn how to optimise your strategy given the unique attributes of each market. Through classes and immersive activities, you'll explore how various market dynamics affect strategy behaviour and learn how real-world trading differs from simulation.
• Trading Strategy and Scenarios: You'll be introduced to new trading scenarios inspired by real events on a particular trading desk. You'll work in teams on multiple mock trading sessions related to each scenario and use the time between sessions to refine your strategy, write recaps, and hear how the story played out in real life from our seasoned full-time traders who lived through it.
• Modeling, Machine Learning, and Data Science: You'll learn how Jane Street applies advanced machine learning and statistical techniques to model and predict large datasets. Through a series of classes and activities, you will analyse things such as real trading data, simulated market data, and prediction markets. You'll gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data.