Quantitative Portfolio Manager

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.

Responsibilities

• Dynamically manage portfolio risk by evaluating historical and real-time strategy performance.
• Oversee automated trade execution and monitor transaction costs.
• Supervise a small team of researchers and developers on a daily basis.
• Design, research, and manage sophisticated investment strategies by creating and engineering advanced quantitative financial computer modeling systems to aid in analysis and research.
• Perform research to acquire historical and production data sources needed to build investment models.
• Design and develop quantitative mathematical algorithms to link diverse data sets from various providers.
• Engineer investment models that make buy and sell recommendations for portfolios using advanced quantitative mathematics, statistics, and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
• Use quantitative models to value securities.
• Conduct ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and expand into new markets.
• Develop aspects of successful statistical models, focusing on forecasting and optimization.
• Expand trading universe and volume and extend to other exchanges and products.

Requirements

• Advanced degree (Masters or Ph.D.) in a computational or analytical field.
• Minimum of 10 years’ experience developing, researching, or implementing quantitative models for equities, futures, and/or FX.
• Hands-on experience with all aspects of the research process, including methodology, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
• Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.

Pay

The annual base salary range for this role is $200,000–$300,000 (USD), which does not include discretionary bonus compensation or a comprehensive benefits package.