Teams at Walleye Capital

Conduct fundamental and quantitative analysis to support volatility portfolio managers and traders. Research corporate events, catalysts, risks, and market-moving news; identify mispricings; build event datasets, analytical tools, and trading signals; perform scenario analysis and forecast price distributions. The role requires collaboration with trading teams, strong financial and mathematical skills, programming ability, and familiarity with options, volatility trading, and event-driven strategies.

Research and automate quantitative trading strategies across index volatility markets. Build proprietary datasets, predictive models, and volatility-surface analyses using Python, statistical modeling, regression, and machine learning. Partner with a portfolio manager on live trading, risk, and positioning decisions while developing discretionary judgment and progressing toward independent book management and direct risk-taking responsibility.

Develop, maintain, and support pricing and analytics tools for equity volatility products. Provide front-line technical support, analyze and extend datasets to improve models, and collaborate with trading teams to implement and validate derivative pricing models.