Use of Artificial Intelligence in Financial Risk Management

With the ongoing, rapid deployment of AI in investment management, Artificial Intelligence is beginning to play a key role in the evolution of risk management. For example, large language models (LLMs) are used in security analysis, trained on customized data sets to provide a higher degree of accuracy for investment analysis than could be conducted by an individual security analyst. In operational risk, AI models are trained to classify and tag policy content against regulatory taxonomies, reducing manual review cycles and enhancing audit readiness. Of course, cybersecurity is a key focus for AI where machine learning algorithms analyze network traffic and identify cyber attacks.

AI and machine learning are transformative technologies that are fundamentally reshaping investment management and risk management approaches from the realm of qualitative to insightful quantitative outcomes. This panel discussion aims to provide perspectives into the evolving landscape of artificial intelligence's application in financial industry risk management.

Panelists:

Sushant Choudhary, Head of Fixed Income Risk, Morgan Stanley

Yakov Shenkman, Director - Risk & Quantitative Analysis (RQA), BlackRock

Cindy Williams, US Head of Risk Governance and Policy, Scotiabank

Moderator:

Navin Sharma, Part-Time Faculty, Enterprise Risk Management

This is a hybrid event and will be hosted both in person and via Zoom. Registered guests will receive a Zoom link prior to the event.

In Person Location:

Butler Library, Room 203

535 W 114th Street, New York, NY 10027

For questions about this event, please contact Joshua Gleich, jg4173 [[at]] columbia [[dot]] edu (jg4173[at]columbia[dot]edu).

To obtain additional information about program offerings at Columbia University’s School of Professional Studies, please contact an Admissions Counselor at inquire [[at]] sps [[dot]] columbia [[dot]] edu (inquire[at]sps[dot]columbia[dot]edu).

If you require closed captioning, sign-language interpretation, or any other disability accommodations, please contact Disability Services, disability [[at]] columbia [[dot]] edu (disability[at]columbia[dot]edu), at least 10 days in advance.

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This event is open to individuals irrespective of identity and sex.