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About the Role
We are seeking Quantitative Researchers to develop models, strategies, and systems for pricing and trading financial instruments. This role involves applying expertise in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets, in collaboration with a team of experts.
Responsibilities
- Build models, strategies, and systems that price and trade financial instruments.
- Apply experience in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets.
- Collaborate with colleagues to refine approaches.
- Dive deep into market data.
- Tune hyperparameters.
- Debug distributed training performance.
- Study model behavior in production.
Requirements
- 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.
- Experience with data science or machine learning is preferred, but problem-solving approach and learning capacity are equally important.
Skills
- Experiment design
- Dataset generation
- Time series analysis
- Feature engineering
- Model building
- Python programming
- Data science
- Machine learning
- Logical thinking
- Mathematical thinking
- Communication
Location
- New York, NY
Work Type
- Full-time
Experience Level
- Research experience
- PhD or other research experience is a plus
Education Level
- PhD or other research experience is a plus
About the Company
- Jane Street's researchers, engineers, and traders collaborate closely.
- The company utilizes petabytes of data and a large GPU cluster with tens of thousands of high-end GPUs.
- Jane Street is open to applying various statistical and machine learning techniques, from linear models to deep learning.
- Successful researchers are driven by curiosity about how their contributions impact trading operations and how to translate findings into actionable strategies.