Case Study

Background

• The bank wanted to create a centralized source of clean market data that could be accessed uniformly and without friction, to accelerate the research process for multiple teams.
• The equities, alpha strategies and QIS teams at this global bank required a platform to research and test trading strategies with validated data.
• The team wanted rapid access to alternative datasets, as well as the ability to onboard existing data from the bank’s proprietary data lake.
• A more advanced backtesting framework was required to allow scalability and incorporate both optimization and detailed transaction cost modelling.

Implementation

• SigTech provided the teams with all necessary data, research tools and a best-in-class backtesting engine – instantly accessible via the cloud.
• Over 300 pre-built and customizable strategies allowed the teams to quickly backtest their new trading ideas.
• SigTech provided instant access to clean and validated data, including broad cross-asset coverage with intraday minute bar price, trade and volume data.
• One-click deployment from research to production eliminated double implementation and reduced slippage.

Results

• Internal silos were removed, providing a common unified environment for each team to research, share and test their ideas.
• Strategy creation was expedited with SigTech’s strategy building blocks and the provision of clean, uniformly structured data.
• SigTech’s market data browser provided a clear and structured overview of all internal and external data available.
• The QIS team expects a 25% increase in clients using SigTech; the Equities team were able to test 3 new alt data providers per month; the Alpha Strategies team reduced time to market by switching to a single platform for research and production.