Quantitative Researcher - Machine Learning

Quant Blueprint LLC; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Quant Blueprint LLC is seeking an experienced quantitative analyst with a Master’s or Ph.D. in a computational or analytical field. The role requires at least 10 years of experience developing and implementing quantitative models for equity, futures, or FX markets.

The candidate will manage portfolio risk, oversee trade execution, and lead a team of researchers. A strong background in quantitative modeling and a deep curiosity about financial markets is essential.

Qualifications

• 10+ years of experience developing quantitative models for equities, futures, or FX.
• Hands-on experience with research methodology, data analysis, and performance monitoring.
• Innovative and curious about financial markets and human behavior.

Responsibilities

• Manage portfolio risk by evaluating strategy performance.
• Oversee automated trade execution and monitor costs.
• Supervise a team of researchers and developers.
• Design and manage quantitative investment strategies.
• Conduct ongoing research to enhance trading strategies.

Skills

Quantitative modeling

Statistical analysis

Risk management

Data collection

Research methodology

Education

Master’s 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 diverse data sets from various providers.
• Engineering investment models that will make buy and sell recommendations for the portfolios using advanced quantitative mathematics, statistics, and investment theory to 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

• Advanced degree (Master’s or Ph.D.) in a computational or analytical field.
• Minimum of 10 years of 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.