Responsibilities

• Research, prototype, and back test options overlay strategies in Python
• Support PMs across equity and fixed income verticals by designing and applying derivatives-based overlays
• Monitor portfolio-level Greeks, exposures, and risk/return outcomes
• Build and maintain research code, data pipelines, and analytics supporting systematic strategy design
• Translate research into clear, rules-based strategy specifications and playbooks
• Evaluate new overlay ideas and communicate trade-offs to internal stakeholders
• Partner with product managers and engineers to convert research into scalable platform capabilities
• Support daily P&L, risk, and performance monitoring

Requirements

• 10+ years of experience in quantitative research, investment analytics, or systematic strategies
• Solid Python skills for research, analytics, and back testing
• Strong mathematical fo...