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Connect with headhunters to apply for similar jobsQuantitative Researcher
Job summary
An established industry player is seeking Entry-Level Quantitative Researchers to join their innovative team. In this role, you will conduct rigorous quantitative research focusing on predictive modeling and collaborate with fellow researchers to monetize trading strategies. You will engage in original research, manage the research process, and build analytical tools to enhance the research framework. This is an exciting opportunity to become a thought leader in a collaborative environment that values curiosity and critical thinking. If you're passionate about quantitative research and eager to contribute to cutting-edge strategies, this role is perfect for you.
Qualifications
- PhD in econometrics, mathematics, statistics, physics, or computer science.
- 2 years of experience or equivalent academic background.
Responsibilities
- Conduct original research in quantitative portfolio management.
- Manage the research process including data analysis and hypothesis testing.
Skills
Education
Tools
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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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