There has been growing recognition during the past few years of the value data scientists and business analysts can bring to treasury teams.
Corporates are now looking for finance staff with advanced data analytics capabilities and expertise in the use of data visualization tools and business intelligence platforms, as well as robotic process automation and machine learning.
“We need team members to move from focusing on the ‘what’ to the ‘why’ for treasury projects, focusing on the future instead of the past,” says Steven Krippner, treasurer at energy technology company Baker Hughes.
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