Investment

Crypto exchanges are adopting anti-fraud surveillance tools as they attempt to root out pump-and-dump schemes, insider trading and bogus orders.

Leading a credit union can be exhausting. Implementing these best practices can help ease the burden.

There are a number of actions financial institutions should take to improve their application of machine learning and data analytics technologies.

A data-driven approach, regardless of human or machine involvement, is a state that organizations need to move to in order to maximize detection in the present and to ease the transition to a more primarily machine-driven future, writes Oliver Tearle, head of research at The ai Corporation.

Credit unions must walk a fine line between making interactions for members as easy as possible while also providing robust protection against evolving cybersecurity threats.

The companies have teamed up on a product to help banks, especially small ones, give customers more accurate insights into their own financial health.

Figure, the startup headed by Mike Cagney, uses blockchain technology to provide home equity loans in as little as five days. It intends to use the newly raised funds to offer other services, including wealth management.

The root of the credit reporting sector’s problems may be its dominance by a handful of big firms, lawmakers from both parties said at a hearing.

It creates an auditable, distributed ledger of transactions that cannot be altered or removed, enabling transactions that are valid, authentic, trustworthy and immutable, according to David Uhryniak, a blockchain services leader at Crowe LLP, and Brian T. Zygmunt, a partner with Crowe LLP.

The CEO of the nation's biggest bank gave the fintech props for revolutionizing payments and then building off its success to provide a whole range of services to small-business clients.