Quantitative Analyst / Software Developer

About Our Team

KEPL is a fast-growing team at Cubist Systematic Strategies, specializing in medium-frequency statistical arbitrage strategies with high Sharpe ratios. Led by a former research head of D.E. Shaw, the team includes members from top universities such as Stanford and MIT, as well as industry veterans from leading trading and technology firms including Two Sigma, Citadel, Tower Research, and Facebook AI. We foster an open and collaborative culture and leverage cutting-edge technologies to drive innovative research.

Role and Experience

We are seeking a hybrid quantitative research analyst and software developer to join our expanding team and contribute to multiple new initiatives aimed at business growth. The ideal candidate will have a strong passion for technology and provide optimal solutions for research and trading. This role offers full-stack exposure and the opportunity to develop expertise across various aspects of quantitative research and trading. The candidate will play a key role in the team’s successful expansion and collaborate closely with researchers to innovate research tools that enhance our research and trading capabilities.

Responsibilities

• Develop, maintain, and improve the production trading system.
• Conduct research to enhance the team’s monetization strategies.
• Build technologies that increase research and trading productivity.
• Expand the system to new markets and asset classes.

Requirements

• Master’s or PhD degree in mathematics, physics, computer science, engineering, or a related discipline.
• 1-3 years of professional experience in software development or quantitative research.
• Strong combination of quantitative and programming skills.
• Proficiency in Python 3 and either C++ or Java.
• Familiarity with the Linux environment.