Point72
Point72~1mo ago

Data Engineer

Data EngineeringData EngineerDataData & AI
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Quick Summary

Overview

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.

Key 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 Summary

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.

Technical Tools
pandaspythonsqldata-analysisetllinux

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.

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. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities

~1 min read
  • 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

~1 min read
  • 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.

Location & Eligibility

Where is the job
United States
On-site within the country
Who can apply
US
Listed under
United States

Listing Details

First seen
March 26, 2026
Last seen
May 9, 2026

Posting Health

Days active
43
Repost count
0
Trust Level
31%
Scored at
May 9, 2026

Signal breakdown

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Point72
Point72
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Employees
3k+
Founded
2014
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Point72Data Engineer