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To excel as a financial data professional, you need to constantly stay up to date on market developments and new technologies. Advances in technology and a quest for innovation by financial companies are driving the need for financial data professionals in a variety of applications.

As stated in "Investment Professional of the Future: Changing Roles, Skills and Organizational Cultures" by the CFA institute: "the need for data scientists in the financial sector is expected to grow by 16 percent over the next 10 years. India and China lead the way with a growth of over 25 percent. By the year 2024 according to the McKinsey Global Institute, the U.S. is estimated to face a shortage of 250,000 data scientists." 

Banks, financial institutions as well as Wall Street need people who translate data into actionable language. Having the right skills as a financial data professional means you can expect a bidding war for your services.

Get the right training now and reap the rewards. 

2019 Predictions for Data Science & Analytics in Financial Services 

  • R and Python usage will continue to increase.
  • The center of excellence model will become more attractive to candidates in financial services.
  • More financial services firms will embrace unstructured data.
  • Data scientists and analytics pros in financial services will become more well-rounded.
  • Employers will prefer for managers to stay hands-on.
  • Unless premium processing for skilled workers returns, there will be a shortage of top talent.
  • There will be increasing opportunities for data scientists and analytics pros in investment banking.


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