Quantitative Researcher
3 weeks ago
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
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modeling. You will collaborate with other researchers to work on the monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
- Conduct original research in quantitative portfolio management.
- Manage all aspects of the research process including idea generation, data analysis, hypothesis testing, and implementation.
- Follow, digest, and analyze the latest academic research.
- Build analytical tools to supplement our shared research framework.
Requirements
- 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, or computer science.
- Programming in Python (or comparable language) and working knowledge of SQL.
- Fluency in data science practices e.g. feature engineering. Experience with machine learning is a plus.
- Highly motivated, curious, and a critical thinker.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
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