Cubist Quantitative Researcher
Core
Conduct original quantitative alpha signal research and build predictive models for systematic trading strategies across equities, futures, and foreign exchange.
Role type
Entry-Level Quantitative Researcher
Builds
Predictive models and trading strategies
Domain
Financial services / Systematic trading
Deliverable
production ML models
Required skills
Python programming, SQL, quantitative analysis, hypothesis development, backtesting, portfolio analysis
Responsibilities
Conduct original quantitative alpha signal research, follow and analyze academic research, manage the full research lifecycle from idea generation to trading strategy generation, build analytical tools to supplement the research framework
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