Quantitative Researcher: Build Models for Trading Systems

Jane Street Group; New York (NY); Hybrid; USD 300,000 - 360,000; Full time

Job summary

Jane Street Group, LLC is seeking Quantitative Researchers to build models, strategies, and systems that price and trade financial instruments.

The role focuses on experiment design, dataset generation, time series analysis, feature engineering, and model building across large financial datasets, with collaboration across researchers, engineers, and traders.

The base salary is $300,000 and total compensation includes an annual discretionary bonus.

Qualifications

• Strong mathematical and logical thinking applicable to diverse problems.
• Proficient Python programmer with solid ML background.
• Curiosity, willingness to learn, and collaborative mindset.
• PhD or research experience is a plus.

Responsibilities

• Build models, strategies, and systems that price and trade financial instruments.
• Design experiments, generate datasets, and engineer features for time-series data.
• Collaborate with researchers, engineers, and traders to refine approaches.
• Tune training performance and study model behavior in production.

Skills

Python

Statistics

Machine Learning

Time series analysis

Experiment design

Education

PhD or equivalent research experience

Tools

GPU cluster

Distributed training

Python libraries (NumPy/SciPy)

Job description

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.

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 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” modeling solutions; we are open to and excited about applying all different types of statistical and machine learning 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

Most candidates will have experience with data science or machine learning, though your approach to problem-solving and capacity to learn will weigh just as heavily as your existing expertise. Having a PhD or other research experience is a plus.

If you're a recruiting agency and want to partner with us, please reach out to [e-mail].

Base salary is $300,000. Base salary is only one part of Jane Street total compensation, which includes an annual discretionary bonus.

Jane Street is an Equal Opportunity Employer