Jane Street

Quantitative Trader - 2027 Summer Internship

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Job vacancy to be filled from: 28.06.2027
Internship
Temporary employment
International excluding Germany
Entry from the 21.09.2026
Position number 120711

Description

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 be paired with experienced quantitative traders who will teach you how to identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition.

At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll 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 don't believe in "one-size-fits-all" modelling 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. 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 analysing 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 haven't yet figured out. 

During the internship, your 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.

As a quantitative trading intern, you’ll also have the opportunity 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 quantitative trading can look like at Jane Street:

Machine Learning, Modelling, 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.

Algorithmic Trading and Market Microstructure
You'l

Your skills

Field of study preferred
  • Engineering sciences
    • Architecture
    Civil engineering
    Biological engineering
    Chemical & process engineering
    Electrical engineering & information technologies
    Geodesy & geoinformatics
    Informatics
    Mechanical engineering
    Material sciences & engineering
    Mechatronics & information technologies
    Optics & photonics
    Other fields of study
    Engineering Structures
    Mobility and Infrastructure
    Regional Science
    Water science engineering
    Mechanical Engineering
    Energy Engineering and Management
    Mobility Systems Engineering and Management
    Remote Sensing and Geoinformatics
    Management of Product Development
    Information System Engineering and Management
    Technology and Management in Construction
    Biomedical Engineering
    Computer Science
    Electrical Engineering and Information Technology
    Mechatronics and Information Technology
    Medical technology
    Photon Science and Technology
  • Natural sciences and Technology
    • Applied geosciences
    Biology
    Chemistry
    Chemical biology
    Geoecology
    Geophysics
    Food chemistry
    Mathematics
    Meteorology
    Physics
    Other fields of study
    Mathematics in Technology
    Meteorology and Climate Physics
    Applied Environmental Informatics and Earth Observation
    Computational and Data Sience
    Geophysics
    Meteorology and Climate Physics
    Physics
    Techno-Mathe­matics
  • Other e.g. teaching degrees
    • Other fields of study
    German
    Philosophy / Ethics
    Sports
    Biology
    Chemistry
    Geography
    Computer Science
    Engineering Education
    Mathe­matics
    Natural sciences and Technology
    Physics
  • Economic & law sciences
    • Information Engineering
    Business engineering
    Business management
    Other fields of study
    Digital Economics
    Fincinal Engineering
    Production and Operations Management
Favored career stage
  • Student

This is what the workplace looks like.

Sector
  • Finance & accounting
Working time model
Full-time
Language at workplace
English

Company information

Type of company
Corporation

Contact

Mrs. / Ms. Ariana Kamboj
Jane Street
2½, Devonshire Square
EC2M 4UJ London
United Kingdom
Tel: +44 020 3787 3200
E-Mail: Please log in to read the stated e-mail address
Company address

Jane Street
2½, Devonshire Square
EC2M 4UJ London
United Kingdom
Telefon: +44 020 3787 3200
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