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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. You can run a direct query from QuickSight for BI reporting and dashboards.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111
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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

Understanding a firm’s exposure to climate risk begins with creating scenarios and gaining better visibility to the impact of a variety of variables on the book of business. Stress testing was heavily scrutinized in the post 2008 financial crisis. The climate risk model makes robust scenarios possible. Assess Variables.

Risk 78
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Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Supporting the industry’s risk data depository and data management needs. Risk management and models in a COVID-19 world.

Risk 86
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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Why mainframe application modernization stalls We’ve experienced global economic uncertainties in recent memory, from the 2008 “too big to fail” crisis to our current post-pandemic high interest rates causing overexposure and insolvency of certain large depositor banks.

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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. Image by Ben Lorica. Model monitoring.