Quantitative Researcher: Build Models for Trading Systems

Jane Street Group, LLC; Northern, New York (KY, 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

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.