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. 


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.

Source: https://www.burtchworks.com/2019/01/07/2019-predictions-for-the-data-science-analytics-hiring-market/

Artificial Intelligence In Finance  How to Turn an AI interest into a Career Path (Without Learning Code) 
Daniel Fagella (EmerJ) interviewMuriël Serrurier Schepper

If you're listening to this podcast, you at least have an interest in leveraging AI in the enterprise. But how do you take that interest and use it to move up in your company and advance your career? In this week's episode, Dan Fagella  speaks with Muriël Serrurier Schepper, who worked with AI at Rabobank and Shell managing advanced analytics projects. She now has her own AI consulting firm. Muriël speaks with Dan about her experience using her prior skillset to enter the world of AI, take the reigns of exciting AI projects, and open up more career opportunities for herself.


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