Quantitative Researcher

Jane Street; United States; On-site; USD 200,000 - 320,000; Full time

Job summary

Jane Street is seeking Quantitative Researchers to build models, strategies, and systems that price and trade financial instruments. You’ll apply experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets.

At Jane Street, researchers, engineers, and traders sit close and collaborate to train models, architect systems, and run trading strategies on vast data using GPUs.

Qualifications

• PhD or equivalent research experience is a plus.
• Strong programming in Python and data-driven problem solving.
• Experience with data science or machine learning methods recommended.
• Ability to communicate complex ideas clearly and collaborate across teams.

Responsibilities

• Build models, strategies, and systems to price and trade financial instruments.
• Design experiments, generate datasets, and test hypotheses on financial data.
• Collaborate with researchers, engineers, and traders to deploy models.

Skills

Python

Statistics

Experiment design

Time series analysis

Feature engineering

Education

PhD in a quantitative field

Tools

PyTorch

NumPy

Pandas

SQL

Job description

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 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].