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Job Description
Cubist Systematic Strategies is seeking a Quantitative Software Developer to join their KEPL team, which specializes in medium-frequency statistical arbitrage strategies. The team comprises individuals from top universities and leading trading and tech firms. The ideal candidate will be passionate about financial markets, data, and technology.
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.
Cubist Systematic Strategies offers:
- Full-stack exposure and build expertise in multiple aspects of quantitative trading.
Point72
Point72 is a global alternative investment firm employing fundamental and systematic investing strategies across diverse asset classes and geographies. The company focuses on delivering superior returns for its investors, supported by a technology group that enhances IT infrastructure and embraces open-source solutions and agile methodologies. Point72 cultivates an investor-led culture, prioritizing innovation and attracting top talent while investing in employee growth, well-being, and career development.
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