Data Science and Analytics for the Front Office

For years, investment professionals have used statistical analysis and relied on languages such as Python to perform complex data analyses to inform their investment decisions. Today, demand for data analytics comes from across the front office. The increased availability of potentially useful data presents more opportunities for exploration while the combination of enhanced technology tools and more widespread skills add to the demand for data analytics.

Pyramid2

 

The front office needs support as it acquires and manages high volumes of data from a variety of sources and uses new technologies to find insights within the data. Firms are reorganizing to provide the right support, while simultaneously ensuring that proper standards for system deployment and data use are maintained, without constraining front office activity. Data governance and robust technology infrastructure are complex and multi-layered - both are essential building blocks for a successful data analytics program.

 

 

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