Cubist Portfolio Manager

Point72; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Point72 is seeking a candidate to manage portfolio risk and oversee automated trade execution, ensuring optimal performance of quantitative investment strategies. The successful applicant will supervise a team of researchers and developers while designing and implementing advanced mathematical algorithms to support investment models.

The role requires a Master's or Ph.D. in a relevant field and a minimum of ten years of experience in quantitative model development. Ideal candidates will exhibit a strong analytical mindset and curiosity for financial markets.

Qualifications

• 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, testing, and performance monitoring.
• Innovative and intellectually driven with an intense curiosity about financial markets.

Responsibilities

• Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
• Overseeing automated trade execution and monitoring transaction costs.
• Supervising a small team of researchers and developers.
• Designing, researching, and managing sophisticated investment strategies.
• Conducting ongoing quantum research and analysis to enhance existing strategies.

Skills

Quantitative analysis

Mathematical modeling

Research methodology

Data analysis

Team supervision

Education

Advance degree (Masters or Ph.D.) in a computational or analytical field

Job description

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

• Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
• Overseeing automated trade execution and monitoring transaction costs.
• Supervising a small team of researchers and developers on a daily basis.
• Designing, researching, and managing sophisticated investment strategies by creating and engineering advanced quantitative financial computer modeling systems to aid in analysis and research.
• Performing research to acquire historical and production data sources needed to build investment models.
• Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
• Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
• Using quantitative models to value securities.
• Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
• Developing aspects of successful statistical models, focusing on forecasting and optimization.
• Expanding trading universe and volume and expanding to other exchanges and products.

REQUIREMENTS

• Advance 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 section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
• Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.