Updating Results

Jane Street

  • 1,000 - 50,000 employees

Quantitative Trader Internship (Dec 2024)

Hong Kong

Opportunity Expired

Jane Street is a global quantitative trading firm hiring smart, humble people who love to learn.

Opportunity details

Opportunity Type
Internship, Clerkship or Placement
Number of Vacancies
10-20
Salary
HKD 2,000,000 / Year

Flights, accommodations, and visas (if required) will be arranged by Jane Street.

Start Date
9 Dec 2024

Application dates

Applications Open
13 Feb 2024
Applications Close
31 Mar 2024

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
E
Aerospace Engineering & Aviation
Automotive & Transport Engineering
Chemical Engineering
Civil Engineering & Construction
Communications Engineering
Electrical & Electronic Engineering
Engineering Management
Environmental Engineering
Fire & Safety Engineering
Geomatic Engineering
Manufacturing Engineering
Marine Engineering
Materials Engineering
Mathematics & Statistics
Mechanical Engineering
Mining Engineering
Petroleum Engineering
Renewable Energy Engineering
Robotics & Mechatronics Engineering
Engineering & Mathematics (all other)
Geotechnical Engineering
Biomedical Engineering
I
Artificial Intelligence
Bioinformatics
Computer Graphics & Animation
Computer Science (all other)
Computer Systems and Networks
Cyber Security
Data Science
Programming & Software Engineering
Video Game Development
Design & User Experience
M
Audiology & Speech Pathology
Biomedical Science
Chiropractic & Osteopathy
Dentistry & Dental Science
Exercise & Sports Science
Health Administration
Medicine & Medical Science
Naturopathy, Acupuncture & Complementary Medicine
Nursing & Midwifery
Nutrition & Dietetics
Occupational Therapy
Optometry, Ophthalmology & Orthoptics
Paramedic Science
Pharmacy & Pharmacology
Physiotherapy & Rehabilitation
Podiatry
Public Health
Occupational Health & Safety
Radiography
Medical & Health Sciences (all other)
Medical Technology
Psychology & Counselling
S
Agricultural Science & Management
Biochemistry
Biology
Chemistry
Earth Sciences
Ecology & Evolution
Environmental Science
Food Science
Forensic Science
Genetics
Geology
Laboratory Technology
Marine Science
Physics & Astronomy
Veterinary Science
Sciences (all other)
Spatial Science

Hiring criteria

Entry pathway

See details

Working rights

Australia

  • Australian Citizen
  • Australian Permanent Resident
  • Australian Student Visa
  • Australian Temporary Work Visa

Hong Kong

  • Hong Kong Citizen
  • Hong Kong Permanent Resident
Read more

About the program

Our goal is to give you a real sense of what it’s like to work at Jane Street full time. Over the course of your internship, you will explore ways to approach and solve exciting problems within your field of interest through fun and challenging classes, interactive sessions, and group discussions—and then you will have the chance to put those lessons to practical use.

As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. When you’re not working on your project, you will have plenty of time to use our office amenities, physical and virtual educational resources, attend guest speakers and social events, and engage with the parts of our work that excite you the most.

If you’ve never thought about a career in finance, you’re 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 you’ll fit right in.

About the position

As a Quantitative Trading intern, you’ll be part of an immersive experience, paired with experienced traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition. 

You'll work on projects alongside mentors in two different areas of trading, giving you a sense of the variety of problems we solve every day. In the past, these projects have included conducting studies on new or existing datasets, building quantitative models, writing tools, and even considering big-picture questions that we're still trying to figure out.

Throughout the summer, you'll also participate in dozens of simulated interactive 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.

This work is reinforced with intensive classes on the broader fundamentals of markets and trading, workshops on various tools we use, and interactive lunch seminars with senior traders.  

During the second half of the internship, you will also get 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 trading and research can look like at Jane Street:

Algorithmic Trading and Market Microstructure

You’ll learn the end-to-end process of developing an algorithmic trading strategy. Working in small teams, you'll learn how to analyze market data to develop a tradable fair value, implement a trading strategy in Python, and adapt that strategy to different market structures. Teams will compete to have the best performing strategy in several different simulated markets. Through classes and immersive activities, you'll also learn how to backtest your strategy and improve its performance from simulation, and how real-world trading differs from simulation. 

Trading Strategy and Scenarios

Each week, you'll be introduced to a new trading scenario inspired by real events on a particular trading desk. You’ll work in teams on multiple mock trading sessions related to each scenario and use the time between sessions to refine your strategy, write recaps, and hear how the story played out in real life from our seasoned full-time traders who lived through it. 

Modeling, Machine Learning, and Data Science

You'll learn how Jane Street applies advanced machine learning and statistical techniques to model and predict large datasets. Through a series of classes and activities, you will analyze things such as real trading data, simulated marketdata, and prediction markets. You'll gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data.

About you

We don’t expect you to have a background in finance or any other specific field—we’re looking for smart people who enjoy solving interesting problems. We’re more interested in how you think and learn than what you currently know. You should be:

  • A strong quantitative thinker who enjoys working collaboratively on a team 
  • Eager to ask questions, admit mistakes, and learn new things
  • Fluency in English required

There is a strong technology component to our trading strategy. Knowing a particular programming language is not required, but general programming experience is a plus. To learn more, you can read about all the internships we offer, our interview process, and meet some of our newest hires.

Please note: Jane Street will provide flights to and from Hong Kong as well as accommodation throughout the entirety of the program.

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry pathway
Degree or Certificate
Minimum Level of Study
Associate Degree or higher
Study Field
E
Aerospace Engineering & Aviation
Automotive & Transport Engineering
Biomedical Engineering
Chemical Engineering
Civil Engineering & Construction
Communications Engineering
I
Artificial Intelligence
Bioinformatics
Computer Graphics & Animation
Computer Science (all other)
Computer Systems and Networks
Cyber Security
M
Audiology & Speech Pathology
Biomedical Science
Chiropractic & Osteopathy
Dentistry & Dental Science
Exercise & Sports Science
Health Administration
S
Agricultural Science & Management
Biochemistry
Biology
Chemistry
Earth Sciences
Ecology & Evolution

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

Australia

Australia

Australian Citizen

Australian Permanent Resident

Australian Student Visa

Australian Temporary Work Visa


Hong Kong

Hong Kong

Hong Kong Citizen

Hong Kong Permanent Resident


New Zealand

New Zealand

New Zealand Citizen

New Zealand Permanent Resident

New Zealand Student Visa

New Zealand Temporary Work Visa