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 modelling. You will collaborate with other researchers to work on 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, 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 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.