2024
EMNLP
EMNLP 2024
News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring
Abstract
AbstractCredit risk monitoring is an essential process for financial institutions to evaluate the creditworthiness of borrowing entities and minimize potential losses. Traditionally, this involves the periodic assessment of news regarding client companies to identify events which can impact their financial standing. This process can prove arduous and delay a timely response to credit impacting events. The News Risk Alerting System (NRAS) proactively identifies credit-relevant news related to clients and alerts the relevant Credit Officer (CO). This production system has been deployed for nearly three years and has alerted COs to over 2700 credit-relevant events with an estimated precision of 77%.
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Interdisciplinary Bridge
— Artificial Intelligence and Data Science & Analytics and Machine Learning and Natural Language Processing
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Keyword Pioneer
— risk monitoring
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Hot Topic Early Bird
— risk assessment
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Foundation Models
Artificial Intelligence > Learning Paradigms > Transfer Learning
Machine Learning > Application Areas > Risk Management
Natural Language Processing > Applications > Information Extraction
Artificial Intelligence > Core AI > Large Language Models
Machine Learning > Learning Types > Retrieval-Augmented Generation
Data Science & Analytics > Applications > Risk Management