Quantitative Research - 2027 Summer Internship

Jane Street SG; Hong Kong; On-site; HKD 167,000 - 223,000; Full time

Benefits offered by this job

Flights to/from Hong Kong

Accommodation provided

Job summary

Jane Street offers an internship for Quantitative Researchers in Hong Kong, where you work closely with seasoned researchers to learn how market signals are identified, datasets are generated, and models are built for trading strategies.

You will explore experiment design, feature engineering, and productionizing signals, while attending seminars and classes on markets and trading. Flights and accommodation are provided.

Qualifications

• Able to apply logical and mathematical thinking to problems.
• Curious and eager to learn; comfortable asking questions and admitting mistakes.
• Strong Python programming skills and code quality awareness.
• Collaborative communicator who works well with colleagues from diverse backgrounds.

Responsibilities

• Work with full-time Quantitative Researchers on projects
• Learn experiment design and time series analysis and feature engineering
• Develop models and test trading signals on financial datasets
• Attend classes and seminars covering markets, trading, and productionizing signals

Skills

Python

Data science

Machine learning

Analytical thinking

Education

Undergraduate or Graduate student status

Job description

About the position

Our goals are to give you a real sense of what it's like to work as a Quantitative Researcher at Jane Street while also providing a truly unparalleled educational experience. You'll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyse large datasets, build and test models, and create new trading strategies.

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 spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You’ll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

About you

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. Most candidates will have experience with data science or machine learning, but ultimately, we're more interested in how you think and learn than what you currently know.

• 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

Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance. Research experience is a plus.

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

Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.

More than twenty years after our founding, it still feels like we’re just getting started.