Data science

Always view fraud prevention tactics and strategies within the proper context. Be aware of current economic and societal conditions and analyze how behaviors may vary, says Sift's Jeff Sakasegawa.

The payments company is working with nonprofit organizations, law enforcement authorities, victims and others to make it harder for the criminals behind the modern slave trade to move money.

The payments company is working with nonprofit organizations, law enforcement authorities, victims and others to make it harder for the criminals behind the modern slave trade to move money.

The fintech community was both surprised and energized by recent news that Visa has agreed to acquire Plaid, one of the nation’s largest fintech platforms for financial data analytics.

The acquisition will vastly expand Visa's platform, giving it nearly Amazon-like influence.

It can be a painful process for a bank to go digital, but there are ways to ease the transition.

New data analytics could help provide more comfort to banks in doing business with the cannabis industry, despite restrictive federal laws.

New data analytics could help provide more comfort to banks in doing business with the cannabis industry, despite restrictive federal laws.

New tech-focused programs for employees can help banks evolve from within.

The fast-growing data company, which says its mission is to help banks be better consumer advocates, will use its cash infusion for hiring, software development and new partnerships.

Most financial institutions can’t compete on pay, but there are other advantages they can offer, including agile development.

The lab works with more than 200 data scientists to create access to affordable credit and help financial firms match products to customers, the company says.

The bank and card program provider is starting to use AI in many areas, but it's also trying to build paths forward for employees whose jobs will be affected.

A year after buying the artificial intelligence fintech Layer 6, TD Bank is "rewiring how the organization has worked," Gregory Braca says.

Data scientists from NASA, Google and hundreds of other places are working for financial firms in their spare time. Is this a good idea?

Community bankers take pride in their personal touch with customers, but they must extend it to mobile platforms. A good start is creating digital hubs that let customers view their full financial picture in one place, a chief technology officer says.

Three of the trade group's specialty councils banded together on a report that looks at how credit unions can improve their metrics and data analytics related to growth.

The rise of AI, high-frequency trading and other complex activities is all the more reason for policymakers and financial executives to sharpen their understanding of science, technology, engineering and math.

It's not enough to hire someone with strong IT skills—they also need "soft skills" such as a passion to keep learning and understanding members needs.

The financial services industry must change how it attracts, hires and develops data science talent.