• Led design and development of a contract pricing system in Python and database in SQL yielding a 70% reduction in pricing inconsistencies.

• Coordinated between development, trading, and quantitative research teams to generate specifications for options risk indicators in new risk visualization systems.

• Created in-house tools to reconcile legacy and novel risk dashboards leading to 50% reduction in daily time spent validating models and pinpointing errors in new systems.

• Created mathematical model to study gene sorting via linear-algebraic transforms and graph theory.

• Implemented simulations of this model in Python to inform insights resulting in 4 novel theorems.

• Earned the “Outstanding Presentation” award at MAA’s 2018 Joint Mathematics Meetings conference.