Entry-Level Quantitative Researcher

About Cubist Systematic Strategies

Cubist Systematic Strategies, operating under Point72, specializes in systematic, computer-driven trading strategies across various liquid asset classes such as equities, futures, and foreign exchange. Their approach emphasizes comprehensive research into diverse market anomalies, supported by extensive access to a broad spectrum of publicly available data.

Role Overview

As an Entry-Level Quantitative Researcher, you will engage in thorough quantitative investigations focusing on predictive model development. The position offers training covering the entire systematic trading workflow, from the ideation phase through to practical trading execution. Successful candidates will evolve into influential contributors to the collaborative research team.

Key Responsibilities

• Develop original quantitative alpha signal research.
• Review, interpret, and analyze recent academic publications.
• Oversee all research stages, including idea generation, data handling, hypothesis formulation and testing, alpha signal identification, trading strategy creation, backtesting, and portfolio evaluation.
• Create analytical tools that enhance the shared research infrastructure.

Qualifications and Skills

• Holding a B.S., M.S., or PhD in finance, economics, mathematics, statistics, data science, computer science, or a related quantitative field.
• Proficient programming skills in Python or an equivalent language; familiarity with SQL.
• Excellent analytical and quantitative abilities.
• Self-motivated with a strong sense of responsibility towards assigned tasks.
• Ability to work autonomously as well as collaboratively within a team environment.
• Strong commitment to producing high-quality results within deadlines.
• Attention to detail is essential.
• No previous financial services experience required.
• Upholding the highest ethical standards is mandatory.

Application Requirements

• Submission of a résumé is necessary for the application process.