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Point72
Improve data ETL pipelines, build tools to analyze new data efficiently, expand to new markets and asset classes, and manage day-to-day operations.
Requires a Master/PhD degree in a quantitative field and 1-3 years of professional experience in software development or data science/analytics, with proficiency in Python and knowledge of SQL and Linux.
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:
Requirements
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AI Est. Total Comp
$185,000
Location
New York
Work Type
On-site
Seniority
mid
Experience
1-3 years
Category
Data Engineering
Visa Sponsorship
Unknown
Quality Score
3.6