Quantitative Portfolio Manager

Point72; Greater London; On-site; GBP 180,000 - 260,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks a senior quantitative researcher to drive portfolio risk management, automate trades, and supervise a small team of researchers and developers. You will design and enhance sophisticated quantitative models and data-driven investment strategies.

The role involves acquiring historical data, developing algorithms, forecasting risk and returns, and expanding the trading universe across new markets.

Qualifications

• Advanced degree in a computational or analytical field.
• 10+ years of experience developing quantitative models for equities, futures and/or FX.
• Hands-on experience across the research process: data collection, testing, backtesting and performance monitoring.
• Innovative, intellectually driven with strong curiosity about financial markets.

Responsibilities

• Dynamically manage portfolio risk by evaluating strategy performance.
• Oversee automated trade execution and monitor transaction costs.
• Supervise a small team of researchers and developers daily.
• Design and manage investment models with advanced quantitative mathematics.
• Research and acquire historical and production data for investment models.
• Develop quantitative algorithms to link datasets from providers.
• Engineer models to forecast risk, return and trading costs.
• Use models to value securities and expand markets.

Skills

Quantitative modeling

Backtesting

Data analysis

Education

Master’s or PhD in computational/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.

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 advance 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.