Quantitative Researcher (Experienced - Ph.D.)

About the Position

Responsibilities

• Conceptualize and implement cutting-edge derivative pricing models for single-asset derivatives, as well as pricing models for widely traded equity volatility products such as variance swaps, volatility swaps, and VIX options.
• Evaluate existing options pricing models, scrutinizing aspects such as calibration accuracy and Greeks stability to identify any anomalies. Investigate and propose enhancements to address identified issues.
• Develop more resilient and stable alternative options pricing models, including exploring and suggesting new parameterizations for the volatility surface and designing improved filtering rules for market data quotes during calibration.
• Develop options specific research infrastructure and libraries in Python.
• Analyze market data and microstructure to identify patterns, facilitating the exploration of trading ideas.
• Actively participate in the idea generation process for options research, contributing insights and innovations.
• Collaborate closely with traders, engaging in the analysis of data and jointly developing new tools and ideas to identify patterns in the market.

Required Skills

• Must have a Masters or Ph.D. in a quantitative discipline, encompassing fields such as computer science, engineering, physics, mathematics, statistics, or other hard sciences, with an anticipated graduation date of December 2025 or May 2026.