Remove Credit Risk Remove Data Analysis Remove Forecasting
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An AI Blueprint For More Profitable Portfolios In 2021

PYMNTS

This was a year that bent and broke quite a few risk forecasting models, thus all the more reason to bring AI smarts to bear on transaction volumes scaling far beyond a human pace. Circumstances] have underscored the singular importance of artificial intelligence (AI) in managing credit risk as well as supporting other bank operations.

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How to Find the Best FP&A Candidates for Your Team

Spreadym

Financial Planning and Analysis (FP&A) candidates are professionals who specialize in financial planning, budgeting, forecasting, and analysis within an organization. Experience: FP&A candidates may have prior experience in financial analysis, accounting, or related roles.

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Reframing financial uncertainty with data and AI

Future CFO

He added that this expands the scope of the CFOs’ remit, but it also means CFOs need to expand their data sources. "I I think what’s important is to find out what data is out there to augment your data analysis," Kesuma added. Moody’s, he noted, is well known for its counterparty credit risk analysis.

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How AI Improves Enterprise Risk Management (ERM)

The Finance Weekly

For example, it manages borrower’s credit data and spots early financial signs. This helps lenders proactively tackle credit risks. Also, AI's predictive analysis forecasts borrower defaults and risk levels using data.

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Transcript: Rick Rieder

Barry Ritholtz

But there are so many tools at your disposal, and let alone how much duration you’re taking, how much interest, how much credit risk you’re taking, illiquidity, et cetera. And how do you make the decision, I’m not comfortable with this credit risk relative to the return it’s going to throw off?