Data Engineer
- Location
- New York City, NY · On-site
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 1+ year
- Education
- Master's degree
- Listed
- 30 days ago
Skills & highlights for this role
- SQL
- Python
- ETL pipelines
Also useful
- pandas
- Linux
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.
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.
From Point72's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Data Engineer job at Point72 located?
This Data Engineer position at Point72 is located in New York City, NY (On-site). Always check Point72's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Engineer at Point72?
For the Data Engineer role, Point72 highlights 1+ year of relevant experience; a master's degree; experience with SQL, Python, ETL pipelines. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Engineer position at Point72?
This listing links directly to Point72's Greenhouse application page. You can apply directly on Point72's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.