Data Engineer

Point72; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

Point72 is seeking a Data Engineer to join the KEPL team, specializing in financial market initiatives. You will be involved in improving data ETL pipelines and developing tools for data analysis.

The ideal candidate holds a Master/PhD and has 1-3 years of experience in software development or data analytics, proficient in Python and familiar with SQL. The role offers a competitive salary and comprehensive benefits.

Qualifications

• 1-3 years of professional experience in software development or data science/analytics.
• Strong combination of quantitative skills and programming skills.
• Excellent written and verbal communication skills.

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.

Skills

Quantitative skills

Programming skills

Python

SQL

Data analytics tools

Education

Master/PhD degree in math, computer science, engineering, or related fields

Tools

Pandas

Linux

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 with “2025 KEPL DE Application” in the subject line.

Role

We are looking for a data engineer 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.

Compensation

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.