FAQs
What is the primary focus of the Entry-Level Quantitative Researcher role at Cubist Systematic Strategies?
The primary focus is conducting rigorous quantitative research with an emphasis on predictive models, contributing to the development of systematic trading strategies.
What qualifications are required for this position?
A B.S., M.S., or PhD in finance, economics, mathematics, statistics, data science, computer science, or another quantitative discipline is required.
Is programming experience necessary for this role?
Yes, programming in Python (or a comparable language) and a working knowledge of SQL are required.
Is prior experience in the financial services industry necessary to apply?
No, prior experience in the financial services industry is not required.
What skills are emphasized for candidates applying for this position?
Strong analytical and quantitative skills, attention to detail, the ability to work independently and collaboratively, and a strong desire for delivering high-quality results in a timely fashion are emphasized.
What types of tasks will the Entry-Level Quantitative Researchers be responsible for?
They will manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting, and portfolio analysis.
Is there an opportunity for growth in this role?
Yes, successful hires will ultimately become thought leaders within the collaborative research group.
What ethical standards are expected from candidates?
A commitment to the highest ethical standards is expected from all candidates.
Will there be training provided for this position?
Yes, candidates will be trained in all aspects of systematic trading from idea generation to practical trading considerations.
What is the work environment like at Cubist Systematic Strategies?
The work environment is collaborative, with opportunities for independent research, combined with teamwork to drive insights and develop trading strategies.