- Red Bank, NJ, US
Investment managers across the globe are struggling to integrate and utilize multiple data sources in their investment research process. This data wrangling is crippling investment research efforts to generate alpha - an unacceptable state in today’s competitive marketplace. We are experts in automating data management, programmatically generating real-time data queries, and providing intuitive tools for data access for portfolio managers, researchers, analysts, and data scientists. With accurate and efficient data access, your team can spend drastically less time on data management, and much more time on revenue-generating work. Our staff of data engineers and investment practitioners have spent the last 8 years building a technology platform that provides researchers with access to a normalized, concordant version of their disparate data sources - meaning from any vendor, instrument, or asset class, whether the data is externally sourced or internally derived. Your investment team can explore and extract their desired data using our intuitive tools, including a comprehensive data catalog, or our API functionality. This data is then delivered neatly packaged into any analytic endpoint, such as Jupiter Notebooks, BI tools, data virtualization platforms, or into our own built-in analytic environment. This drastically increases workflow efficiency. For example, one major asset manager improved processing time from 8 hours to 13 minutes for a dense data analytics request saving over $400k per year. Designing technology to ‘automate’ this process is extremely difficult. It requires uniting two areas of expertise - functional programming expertise to create an intelligent query engine, and financial data expertise to embed the business logic of the data into this engine. In essence, we designed an intelligent AI-powered engine that dynamically interprets a user’s data requests, generates optimized queries in real time, and applies the necessary math/logic to deliver ready to analyze data without any pre-processing requirements.