Quantitative Software Developer

Point72 is hiring a Quantitative Software Developer in New York, United States. Level rates it ; you can apply on Point72.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Level classifies it as a junior role.
Level lists 199 other open roles at Point72.

AI in this role

About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, 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 QD 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.

How we rate this

Quantitative Software Developer at Point72 rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.