Point72

Point72

Data Engineer

New York

Sponsorship not specifiedDetected 9 days ago
PythonFull-Stack DevelopmentSQLLinuxPandasData AnalysisData EngineeringData ScienceResearchCommunication

About the role

  • 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.

Responsibilities

  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Manage day-to-day operations in a fast-paced environment.
  • In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Requirements

  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Familiarity with the Linux environment.

Nice to have

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

Company info

  • 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.
  • Please send CVs to kepl-talent@cubistsystematic.com with "2025 KEPL DE Application" in the subject line.
  • We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business.
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