Quantitative Developer

Quant Blueprint LLC; New York (NY); On-site; USD 130,000 - 160,000; Full time

Job summary

Quant Blueprint LLC is seeking a skilled quantitative analyst to manage portfolio risk and oversee a team dedicated to developing investment strategies. The role involves evaluating trading strategies, conducting quantitative research, and engineering mathematical algorithms to support investment analysis.

Applicants must possess an advanced degree and have a minimum of 10 years of experience in quantitative modeling within financial markets. Join us in shaping the future of investment strategies in New York!

Qualifications

• Advance degree in a computational or analytical field.
• 10 years of experience in quantitative modeling.
• Hands-on research process experience.

Responsibilities

• Manage portfolio risk and evaluate strategy performance.
• Oversee automated trade execution.
• Supervise a team of researchers and developers.

Skills

Quantitative modeling

Data analysis

Risk assessment

Algorithm development

Statistical analysis

Education

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 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.