The management team at a multi-strategy hedge fund with $15B in AUM wanted to study the potential adverse market impact resulting from the trading activities of its algorithmic trading groups. Each team had a different trading system, which made the data collection and aggregation using traditional database methods challenging and time consuming.

• Apply data science to integrate firm’s trading activities and market data stored in disparate systems


• Apply statistical analysis and industry best practices to study the price movement correlation due to trading activity by the algorithmic trading group utilizing the appropriate market impact model


• Develop a dashboard for management to view the market impact from historical trade data and perform pre-trade “what if” impact scenarios through predictive modeling