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Fed Casting Wary Eye On FinTech Firms’ Infrastructure Access?

PYMNTS

As FinTechs eye growth, and look to gain scale by providing more “mainstream” financial services, might those plans hit a speed bump when it comes to the infrastructure needed to bring products to the masses? I am concerned that FinTech will be the source of the next crisis.”. In Asia, Examining Cross-Border FinTech.

Fintech 148
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Hong Kong Relaxes Rules In Effort To Boost FinTech Lending

PYMNTS

The Hong Kong Monetary Authority has, as finews.asia reported this past week, amended its credit risk management guidelines in a way that seeks to boost the embrace of analytics when lending to smaller firms.

Lending 134
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Data Sharing, XaaS Target SMB Financing Efficiencies

PYMNTS

Accelerated data sharing has become a focal point for small business lenders and FinTechs looking to speed up the time it takes for SMBs to apply for and receive much-needed funding. This week’s look at the latest in bank-FinTech collaborations and open banking initiatives finds a focus on small business lending: In the U.K.,

Data 167
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Use Cases And Business Opportunities Stemming From Open Banking (4/4)

Lars Markull

In the past three blog posts, we have described what is driving open banking, the history of Open Banking, and the current status of Open Banking in different regions. This is at the center of most Open Banking regulations and can be achieved with the right design and guidelines. . C) Risk Management.

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Use Cases And Business Opportunities Stemming From Open Banking (4/4)

Lars Markull

In the past three blog posts, we have described what is driving open banking, the history of Open Banking, and the current status of Open Banking in different regions. This is at the center of most Open Banking regulations and can be achieved with the right design and guidelines.  C) Risk Management.

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Collections & Recovery Predictions 2020: Brexit and Other Challenges

FICO

At the same time, reputational risk for the creditor will go up if those countries that are not governed by best practice debt collection guidelines return to poor debt management practices. There’s an appetite for more insight into customers and their true risk, which AI and machine learning can solve.