Combo Trade Resolver:

Designing and creating a python service that consumes exchange combo trade definitions, and resolves them in a centralized

TimescaleDB database for post trade analysis. Service will run in production cluster, reducing memory footprint of a key

service for an estimated savings of $30,000/yr.

Profit & Loss Analysis:

Enriching firm-wide post-trade profit and loss analysis with new algorithms, and increased fidelity.

Analyzing D1 trading and options hedges with Jupyter Notebooks and Datagrip, and writing production code in Python.

Thoroughly documenting analysis for further investigation by other teams.