Data Engineer

About Cubist

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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.

About Our Team

KEPL is a fast-growing team at Cubist Systematic Strategies specializing in medium-frequency statistical arbitrage strategies with high Sharpe ratios. The team consists of professionals from top universities and leading trading and technology firms, including D.E. Shaw, Two Sigma, Citadel, Meta, and Google. We maintain an open and collaborative culture, valuing rigorous research and innovative technologies.

Application

Please send your CV to kepl-talent@cubistsystematic.com with “2025 KEPL DE Application” in the subject line.

Role

We are seeking a quantitative software developer to join our team and contribute to multiple initiatives aimed at expanding our business. The ideal candidate should be passionate about financial markets, data, and technology. This role offers full-stack exposure and the opportunity to develop expertise in various aspects of quantitative trading.

Responsibilities

• Improve data ETL pipelines and develop tools to analyze new data efficiently.
• Build technologies to enhance research and trading efficiency.
• Expand into new markets and asset classes.
• Manage day-to-day operations in a fast-paced environment.

Requirements

• Master’s or PhD degree in mathematics, computer science, engineering, or related fields.
• 1–3 years of professional experience in software development or data science/analytics.
• Strong combination of quantitative and programming skills.
• Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
• Familiarity with the Linux environment.
• Excellent written and verbal communication skills.
• Willingness to work in a fast-paced start-up environment.
• Commitment to the highest ethical standards.