Remove Finance Remove Measurement Remove Risk Management Remove Testing
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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech. As demand for tech skills grows in the finance industry, certain IT jobs are becoming more sought-after than others. Full-stack software engineer. Data engineer.

Finance 98
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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech. As demand for tech skills grows in the finance industry, certain IT jobs are becoming more sought-after than others. Full-stack software engineer. Data engineer.

Finance 98
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? Assess Variables.

Risk 78
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Takeaways from Forrester’s Latest Report on Enterprise Architecture Management Suites

erwin

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

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Cyber Fraud Statistics & Preventions to Prevent Data Breaches in 2021

Smart Data Collective

One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. No matter what the malicious activity is, at the core most cybercrime is finance-driven. Let’s dive in.

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

O'Reilly on Data

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.