Quantitative Trader
Hong Kong, Hong Kong
Jane Street
Jane Street is a quantitative trading firm and liquidity provider with a unique focus on technology and collaborative problem solving.About the Position
Our goals are to give you a real sense of what itās like to work as a quantitative trader at Jane Street, and a truly unparalleled educational experience. Youāll be paired with experienced quantitative traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition.Ā
You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analyzing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we havenāt yet figured out.
This work is reinforced with intensive classes, workshops, and 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.
At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for allowing us to continue pushing the boundaries of whatās possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We donāt believe in āone-size-fits-allā modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.
Quantitative trading interns also have the opportunity to participate in one āelectiveā 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 quantitative trading can look like at Jane Street:
Machine Learning, Modeling, and Data Science
You'll learn how Jane Street applies advanced machine learning and statistical techniques toĀ make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data.Ā
Algorithmic Trading and Market Microstructure
You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze 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 optimize your strategy given the unique attributes of each market. You will discover how various market dynamics affect strategy behavior and learn how real-world trading differs from simulation.
Trading Strategy and Scenarios
Youāll be introduced to a rotating set of new trading scenarios inspired by real events on a particular trading desk. Youāll work in teams on multiple mock trading sessions related to each scenario and use the time between sessions to refine your strategies, write recaps, and hear how the story played out in real life from our seasoned full-time traders who lived through it.
About You
If youāve never thought about a career in finance, youāre in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling youāll fit right in. Weāre more interested in how you think and learn than what you currently know. You should be:
- A strong quantitative thinker (no specific degree or major is required)
- A clear and effective verbal and written communicator
- Someone who enjoys working collaboratively on a team
- Eager to ask questions, admit mistakes, and learn new things
- Fluent in English
A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.
If youād like to learn more, you can read about ourĀ interview process and meet some of the team.
Plеаsе nоtе: Jаnе Strееt will prоvidе flights tо аnd frоm Hоng Kоng, аnd аŃŃŠ¾mmоdаtiоn thrоughоut thе еntirеty оf thе prоgrаm.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Deep Learning Finance GPU Machine Learning ML models Python Research Statistics Trading Strategies
Perks/benefits: Career development Team events
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