Financial markets rely heavily on quantitative models for decision-making, making effective model risk management crucial. Attika Raj, senior specialist, complex securities pricing at LSEG Data & ...
The Office of the Superintendent of Financial Institutions (OSFI) recently released an updated draft of Guideline E-23 Model Risk Management (Draft Guideline) setting expectations related to ...
While the Federal Deposit Insurance Corporation (FDIC) updated its model risk management guidelines in June 2017, under FIL-22-2017, it has taken time for the full implications of the changes to ...
The PRA’s new supervisory statement extends banks’ model risk management obligations “across all models” - not just capital and stress testing. What steps must banks take to comply? Despite last ...
Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...
Artificial intelligence is creating new opportunities across a wide range of use cases in the financial industry. Leading firms are looking for opportunities to better balance innovation with risk and ...
North America dominates the global market with 38% of market share, led by the United States, where regulatory agencies such as the Federal Reserve, OCC, and FDIC continue to enhance guidelines for ...
How HHS’s AI framework can help healthcare CIOs cut through complexity, build practical governance, and finally start scaling AI in real workflows.
Overview AI risk management training is becoming essential across industriesLeading programs now combine governance, ethics, ...
Models are everywhere. Many organizations use models for facilitating the decision-making process, for accounting and tax purposes, and for managing day-to-day operations. In fact, organizations are ...
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