Point72
Data Engineer
New York · Work style not stated
Posted over 6 months ago: check it’s still open
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPoint72
- LocationNew York
- Work styleWork style not stated
- Employer posted
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.
Show full description
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.
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
At a glance
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.