Quantitative Researcher

Janestreet; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Janestreet in New York is searching for talented Quantitative Researchers to develop models and trading strategies. The role involves applying logical and mathematical thinking to tackle complex financial problems while collaborating closely with researchers, engineers, and traders.

The ideal candidate should have strong programming skills in Python and a background in data science or machine learning, with a willingness to learn and adapt. Join us and work on petabytes of data built on innovative approaches in finance.

Qualifications

• Strong programming skills in Python.
• Experience with data science or machine learning is preferred.
• Intellectually curious and eager to learn.

Responsibilities

• Build models and strategies for pricing and trading financial instruments.
• Collaborate with engineers and traders on various projects.
• Apply various statistical and machine learning techniques.

Skills

Logical and mathematical thinking

Python programming

Data science

Machine learning

Education

PhD or other research experience

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].