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About the Role

Our Quantitative Researcher internship offers an unparalleled educational experience, allowing interns to work alongside experienced researchers to learn about identifying market signals, analyzing large datasets, building models, and creating trading strategies. Interns will gain exposure to diverse challenges in experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. The role involves project work complemented by classes on market fundamentals, trading, and seminars.

Responsibilities

Identify market signals
Analyze large datasets
Build and test models
Create new trading strategies
Design experiments
Generate datasets
Perform time series analysis
Engineer features
Build models for financial datasets
Collaborate with colleagues

Requirements

Able to apply logical and mathematical thinking to all kinds of problems
Intellectually curious; eager to ask questions, admit mistakes, and learn new things
A strong programmer who's comfortable with Python
An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
Fluent in English

Skills

Data science
Machine learning
Python programming
Logical thinking
Mathematical thinking
Communication
Collaboration

Experience Level

Internship

Education Level

Undergraduate student
Graduate student
Recent graduate

About the Company

Jane Street is a quantitative trading firm where the lines between research, technology, and trading are intentionally blurred.
The company provides access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a GPU cluster with tens of thousands of high-end GPUs.
Jane Street is open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning.