Jane Street

Jane Street

Posted via Greenhouse

Quantitative Researcher

Posted Sep 9, 2026

Role at a glance

Job function
Investments & Capital Markets Portfolio Management & Trading
Salary
Not Disclosed
Location
Hong Kong
Work arrangement
On-site
Employment
Full-time
Experience
Most candidates will have experience with data science or machine learning
Education
PhD or other research experience is a plus.

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Role Summary

AI-generated

Quantitative Researchers build models, strategies, and systems that price and trade financial instruments. The role works closely with researchers, engineers, and traders on financial datasets, statistical and machine learning techniques, and production trading strategies.

What You'll Do

  • Design experiments and generate datasets for financial modeling
  • Perform time series analysis and feature engineering
  • Build models using statistical and machine learning techniques
  • Analyze market data and tune model hyperparameters
  • Debug distributed training performance
  • Study model trading behavior in production

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Logical and mathematical thinking; Python programming; fluent in English.

Required

  • Logical and mathematical thinking
  • Python
  • English

Preferred

  • Experience with data science or machine learning
  • PhD or other research experience

Original job description

Content provided by the employer

About the position

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with 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. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production.

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. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

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. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

  • 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

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. PhD or other research experience is a plus.

If you’d like to learn more, you can read about our interview process and meet some of the team.

Jane Street

About the company

Jane Street

Large Enterprise

Jane Street is a global trading firm that specializes in quantitative and algorithmic trading across various asset classes, including equities, options, and fixed income. Founded in 2000, the company leverages advanced technology and data analytics to drive its trading strategies while maintaining a strong commitment to risk management and collaboration. Known for its dynamic and intellectually stimulating work environment, Jane Street also places a high value on continuous learning and professional development, making it an attractive workplace for individuals interested in finance, mathematics, and computer science.