Data Engineer
At a glance
Mid-level Data Engineering role at Point72. New York · full-time · no salary stated · we estimate $130,000–$185,500.
Point72 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Improve ETL workflows and create tools that make it easier to assess unfamiliar data
- Build software that helps research and trading teams work more efficiently
- Extend the team's work into additional markets and asset classes
- Handle routine operational work in a fast-moving environment
What you bring
- A master's or PhD in math, computer science, engineering or another related field
- One to three years in software development, data science or analytics
- Strong quantitative ability paired with programming skills, including proficiency in Python
- Familiarity with Linux and strong written and spoken communication
Who this fits
This role suits someone interested in financial markets, data and technology who wants exposure across the quantitative trading stack. You should be comfortable working in a fast-paced startup setting and uphold high ethical standards.
From the employer
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.
About our Team:
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 “2026 KEPL DE Application” in the subject line.
Role:
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:
- 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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