Opportunities to partner directly with Quantitative Researchers, Compliance teams, and Trading desks to conduct analysis that drives the evolution and implementation of risk controls, drives project direction, analyzes trading behavior
Utilization of tools like Python/Pandas and Matplotlib to assemble and analyze data, crafting reports to educate the business and influence business decisions
In this highly complex technical environment, you will leverage tools to enable you to detect patterns and anomalies in the data you work with, automating through code and utilizing data visualization techniques and tools to present your work
Analyzing historical trade data to inform systemic risk controls & trade limits
Analyzing historical data sources to inform a given project approach
Analyzing historical trade data to validate risk control implementation
Sourcing, cleansing and managing data to ensure trade systems are compliant in handling order and trade flow
Analyzing data to support regulatory requests related to specific workflows or events
Creating data visualizations to capture important features of large and complex data sets
Presenting data analysis and visualization reports to senior management and providing recommendations for changes and new approaches