Data Scientist for Financial Markets
2 days ago
About Cubist Systematic Strategies
Cubist Systematic Strategies, an affiliate of Point72, specializes in deploying systematic trading strategies across various liquid asset classes. Our research focuses on market anomalies, leveraging access to publicly available data sources.
Job Overview
Data Scientists are responsible for conducting independent research in quantitative finance with a focus on statistical and predictive models. Successful candidates manage the entire research process, including methodology selection, data collection, analysis, testing, prototyping, backtesting, and performance monitoring.
A successful candidate will combine strong technical skills with a passion for problem-solving and curiosity about financial markets and human behavior. We welcome candidates from various backgrounds, including academia, who have a strong foundation in mathematics or computer science.
Required Skills and Qualifications
- Bachelor's or Master's degree in finance, computer science, mathematics, physics, or a related field
- 3-7 years of experience in alpha-driven quantitative research for equities, futures, fixed income, credit, and/or FX
- Strong analytical and quantitative skills
- Demonstrated ability to conduct independent research utilizing large datasets
- Programming expertise in C++, Java, C#, MATLAB, R, Python, or Perl
- Detail-oriented
- Ability to work independently and within a small team
We seek exceptional candidates with unparalleled passion. If you'd like your resume to stand out, please share your personal achievements outside of school or as part of your curriculum. Additionally, we're interested in learning more about your non-academic projects, such as engineering or data projects.
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