Lead Quant Portfolio Manager – Data-Driven Trading

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

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.