AI and Risk Management in Finance
Thought Leadership Webinar: Complimentary to the PRMIA network! As AI and Machine learning enters financial services firms pervasively, and with the new regulatory efforts in US and in the EU, there is increased interest on what risk management is going to look like when AI and ML models are integrated with current frameworks.
Date:
June 16, 2021
Time:
10:00 - 11:00 a.m. EDT
3:00 - 4:00 p.m. BST
Presented By:
Sri Krishnamurthy, CFA, CAP
Founder & CEO, QuantUniversity
Session Length:
60 minutes
In this webinar, we will discuss how AI and ML are being used in the financial industry and discuss key topics of interest in the risk management community.
Topics include:
- Testing and Validation of AI/ML models
- State of Regulation for AI in the financial industry
- Stress testing and Scenario testing for AI/ML models
- Role of Algorithmic Auditing in Finance
- How do you and your workforce prepare to be successful in adopting AI in the enterprise
About Our Expert |
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Sri Krishnamurthy is the founder of QuantUniversity, a data and quantitative analysis company. He has more than 15 years experience in analytics, quantitative analysis, statistical modeling and software development. He is a quantitative specialist with significant experience in designing data mining and analytic systems for some of the world’s largest asset management and financial companies
Sri has worked at MathWorks as a Computational Finance Consultant where he worked with more than 25 customers providing asset management, energy analytics, risk management and trading solutions. Prior to that, Sri was a consultant at Endeca (now Oracle) in their Analytics Group and at Citigroup in their Fixed-Income Group building large-scale analytical and trading systems. He is a Charted Financial Analyst and a Certified Analytics Professional. He is an active member of the Boston Security Analysts society and QWAFAFEW.
Sri is the creator of the Fintech Certificate Program & Analytics Certificate Program and teaches graduate courses in Quantitative methods, Data science and Analytics and Big Data at Babson College, Northeastern University and Hult International Business School.
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Continued Risk Learning Credits: 1 |
PRMIA Continued Risk Learning (CRL) programs provide you with the opportunity to formally recognize your professional development, documenting your evolution as a risk professional. Employers can see that you are not static, making you a highly valued, dynamic, and desirable employee. The CRL program is open to all Contributing, Sustaining, and Risk Leader members, providing a convenient and easily accessible way to submit, manage, track and document your activities online through the PRMIA CRL Center. To request CRL credits, please email [email protected].
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Registration |
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Membership Type |
Price |
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Members (Sustaining, Corporate, RIM & Contributing)
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COMPLIMENTARY |
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Non Member |
COMPLIMENTARY
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