Cubist Quantitative Researcher

Overview

Entry-Level Quantitative Researcher focused on conducting quantitative research for predictive models and systematic trading.

What you'll do

• Conduct original quantitative alpha signal research.
• Follow, digest, and analyze the latest academic research.
• Manage the full research process from idea generation to testing.
• Discover alpha and generate trading strategies.
• Perform backtesting and portfolio analysis.
• Build analytical tools to support a shared research framework.

What you'll need

• Earned a B.S., M.S., or PhD in a quantitative discipline such as finance, economics, mathematics, statistics, data science, or computer science.
• Programming experience in Python (or a comparable language).
• Working knowledge of SQL.
• Strong analytical and quantitative skills.
• Ability to work independently and collaboratively in a team.
• Detail-oriented approach and strong desire to deliver high-quality results on time.
• Willingness to take ownership of work and commitment to high ethical standards.