Data scientists have become one of the top needed professions in banking and big tech; banks are finding it harder to compete with the likes of Google, Facebook for a number of key reasons; compensation and data structures, big tech is able to pay over a million dollars a year for premier talent and data at big tech firms is not structured like banks so they are able to work more freely; Gurjeet Singh of Ayasdi says banks can make strides by creating competitions for data scientists when they leave school and investing more in all levels of the bank to cater to talent better. Source.
The demand for data scientists continues unabated across a broad swatch of industries including financial services. There is so much...
According to data from LinkedIn there are more than 150,000 data scientist jobs that employers were unable to fill; the...
A blog post from deBanked provides insight on the use of data scientists in marketplace lending; while these platforms are built on data programming and analytics, Justin Dickerson of Crossfold Analytics implies that the industry could be inefficiently utilizing data scientists resulting in lower returns and income losses broadly across the industry; Dickerson provides recommendations for data science groups specifically noting the importance of building a strong data science infrastructure with less focus on a massive data science team. Source
PIMCO’s CTO Dirk Manelski told Business Insider that the asset manager is building a data science platform for all their...