Quantitative Software Developer

1-3 years of professional experience in software development or data science/analytics.

Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.

Familiarity with the Linux environment.

Improve data ETL pipeline and build tools to analyze new data efficiently.

Build technologies to bolster research & trading efficiency.

Expand to new markets and asset classes.

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.