Janestreet
Quantitative Trader
New York, New York, United States · Internship
Sponsorship not specifiedDetected 7 days ago
Machine LearningDeep LearningData ScienceStatisticsResearch
About the role
- About the Position Our goals are to give you a real sense of what it's like to work as a Quantitative Trader at Jane Street while also providing a truly unparalleled educational experience.
- 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.
- During the internship, your work is reinforced with intensive classes, workshops, and team-based mock trading sessions.
Responsibilities
- 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.
Requirements
- If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in.
Nice to have
- 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
Skills
- About the Position
Benefits
- Machine Learning, Modeling, and Data Science
- You'll learn how Jane Street applies advanced machine learning and statistical techniques to 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.
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