Data Engineer

Full Timeentry

New YorkPosted 17 days ago

Role Overview

Point72 is hiring a entry-level Data Engineer. This is a full-time role in New York. Part of Point72's Trading hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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PythonSQLLinuxPandasPipelineORCubistSystematic

Job description

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 “2025 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.

About Point72

Point72

point72.com

TradingOn-site

26 other open roles at Point72 on TryApplyNow.

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Frequently Asked Questions

How do I apply for the Data Engineer position at Point72?

Use the Apply button above to submit your application directly to Point72. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Engineer position at Point72 located?

This position is based in New York. Point72 has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Engineer at Point72 earn?

Point72 has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Engineer role at Point72 posted?

This role was posted on June 26, 2026 (17 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Is the Data Engineer role at Point72 entry-level?

Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Point72 has listed.