Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Our Quantitative Trader internship offers an unparalleled educational experience, teaching you to identify market signals, analyze and execute strategies, construct quantitative models, and build trading intuition. You'll work with experienced traders, access vast datasets and computing resources, and apply diverse statistical and ML techniques. The program includes intensive classes, workshops, mock trading sessions, and elective courses in Machine Learning, Algorithmic Trading, or Trading Strategy.

Responsibilities

Identify market signals
Analyze and execute strategies
Construct quantitative models
Conduct statistical analysis
Build trading intuition
Apply statistical and ML techniques
Analyze new or existing datasets
Train predictive models
Simulate potential new trading strategies
Write tools for production
Answer big-picture questions
Participate in targeted classes and immersive activities
Develop an algorithmic trading strategy
Implement a trading strategy in Python
Optimize trading strategies
Refine strategies based on trading scenarios
Write recaps for trading scenarios

Requirements

Strong quantitative thinker
Clear and effective verbal and written communicator
Enjoys working collaboratively on a team
Eager to ask questions, admit mistakes, and learn new things
Fluent in English
General programming experience is a plus

Skills

Machine Learning
Modelling
Data Science
Statistical techniques
Algorithmic Trading
Market Microstructure
Python

Location

Remote
Hybrid
Onsite

Work Type

Internship
Full-time

Experience Level

Intern
Entry Level

Education Level

No specific degree or major required

Benefits

Classes
Workshops
Team-based mock trading sessions
Elective courses

About the Company

Jane Street is a trading firm that is also a technology company.
We have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs.
We are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning.