Data Engineer

New York, NYfull timeOn SitemidH1B: yes

Point72 The Data Engineer at Cubist Systematic Strategies improves data ETL pipelines and builds tools to analyze new data efficiently to support quantitative trading strategies. The role involves full-stack exposure and managing day-to-day operations in a fast-paced environment.

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.

Qualification

Master/PhD degree in mathProficiency in PythonFamiliarity with the Linux environment

Required

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.