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Data Engineer

Data Engineer at Cubist Systematic Strategies in New York.
Point72
On-Site
United States
Undisclosed salary
Job Description

Cubist Systematic Strategies is seeking a Data Engineer to join their KEPL team. The KEPL team specializes in medium-frequency statistical arbitrage strategies.

The Data Engineer will contribute to initiatives that aim to expand Cubist Systematic Strategies business. The candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities:
  • 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.
  • Manage day-to-day operations in a fast-paced environment.
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.
  • Strong combination of quantitative skills 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.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.
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Point72

Point72 is a global alternative investment firm employing fundamental and systematic investing strategies across diverse asset classes and geographies. The company focuses on delivering superior returns for its investors, supported by a technology group that enhances IT infrastructure and embraces open-source solutions and agile methodologies. Point72 cultivates an investor-led culture, prioritizing innovation and attracting top talent while investing in employee growth, well-being, and career development.

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