Easy Apply
Easy Apply
Conduct quantitative finance research, design algorithms, evaluate datasets, and contribute to improving investment processes and research infrastructure.
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.
Role/Responsibilities:
- Independently conduct quantitative finance research with a focus on statistical and predictive models
- Design, backtest, and implement algorithms for optimal portfolio construction
- Evaluate new datasets for alpha potential
- Contribute to the continuous improvement of the investment process and the team’s research and trading infrastructure
Requirements:
- MS or PhD student in finance, applied economics, operations research, statistics, mathematics, electrical engineering, or computer science.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Proficient in Python.
- Strong analytical and quantitative skills.
- Detail-oriented.
- Willing to take ownership of his/her work, working both independently and within a small team.
Top Skills
Python
Similar Jobs
Information Technology • Software • Financial Services • Big Data Analytics
As a PhD Intern, you will develop mathematical models, conduct statistical analysis, and implement trading strategies while collaborating with senior researchers.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services • Quantitative Trading
As a Quantitative Researcher Intern, you'll develop trading strategies, conduct statistical analysis, and implement models using quantitative methods.
Top Skills:
C++PythonR
Financial Services
Assist full-time researchers by providing research support, data collection, and analysis, while improving upon existing academic research.
Top Skills:
C++PythonRSQL
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
