Financial Analytics Platform for Trading Startup
The client is an dynamic start-up in next-gen investment banking space, provides investment services, such as research, advise, and execution for investment managers and other financial institutions.
- The modern data analytics and technology platform enables a team of quants, data scientists and financial analysts.
- Platform allows to develop, run and evolve models for pricing, risk, investment strategies, trading algorithms, scenario analysis, portfolio analytics, market surveillance.
- Data lake and multiple data pipelines managed automatically by a workflow engine.
- Batch and a real-time data processing engine provides tools (BI, reporting, ad-hoc querying, notebooks) and APIs for accessing data and analytics for a wide range of user workloads.
- Cloud-agnostic approach and microservices architecture, deployed in AWS.
- Python and Scala, Spark and AWS Athena are used for data workloads.
- The platform processes 30+ sources of market, fundamental, alternative financial data, 2TB+.
- The platform is a core part of the client’s business as it improves the investment decision-making process.
- The solution implemented made processing and analyzing data fast and error-proof.
- Because the platform is cloud-agnostic, the client can easily license its technology to institutional investors, asset managers and other buy-side firms, which gives the additional opportunities for business growth.