 A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
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Join QuantUniversity for a complimentary fall speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Innovations in Model Risk ManagementÂ
With Jon Hill from NYU and Krishna Gade from Fiddler
Jon will discuss what if a financial firm decided to delete its entire set of models and redevelop them from scratch? What might it do differently in the process of rebuilding its entire model ecosystem in order to avoid and leverage from some of its previous mistakes? How could such a firm make a model risk management (MRM) platform smarter and less resource intensive than it was before?
One path to creating a smarter model risk management discipline is to start at the bottom of the model risk hierarchy by building a new generation of 'smart models'. A fanciful 'conversation with a smart model' may help to put this idea into context. Jon will discuss Smart Model Management in this talk
Krishna will discuss:
- ML Models are fast replacing quant models in financial institutions.
- Most of these ML models are a black-box and are also highly dependent on data w.r.t their performance over time.
- So, banks are left with the problem of managing ML models that can't be debugged easily and with no proper monitoring to see how they are performing over time.
- We propose a new framework - ML Model Performance Management which is a way to ensure that models are being tracked and analyzed through out the lifecycle.
Krishna is the co-founder and CEO of Fiddler Labs, an enterprise startup building an Explainable AI Engine to address problems regarding bias, fairness and transparency in AI. At Facebook, he led the team that built Facebook’s explainability feature ‘Why am I seeing this?’. He’s an entrepreneur with a technical background with experience creating scalable platforms and expertise in converting data into intelligence. Having held senior engineering leadership roles at Facebook, Pinterest, Twitter and Microsoft, he’s seen the effects that bias has on AI and machine learning decision making processes, and with Fiddler, his goal is to enable enterprises across the globe solve this problem.
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Jon has the unheralded distinction of being the first (and possibly last) professor of model risk management at a major university. With over twenty years of experience in diverse areas of quantitative finance, Jon is recognized as a subject matter expert in model risk management, governance and validation and is the author of numerous publications on these topics. As an adjunct professor in NYU's Financial Risk Engineering Dept. Jon teaches a graduate course in Essential Concepts for Model Risk Management, Governance and Validation.
Jon holds a Ph.D. in Biophysics from the University of Utah. He is a frequent speaker and chairperson at model risk conferences throughout the US and Europe.
Sri Krishnamurthy, CFA is the Founder and CEO of QuantUniversity. Sri is the creator of QuSandbox, a platform for experimenting analytical and machine learning solutions for enterprises prior to adoption.
Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA from Babson College.
The QuantUniversity Spring School 2021
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Join QuantUniversity for a complimentary Spring speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
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QuantUniversity is a quantitative analytics and machine learning advisory based in Boston, Massachusetts. QuantUniversity runs various programs and workshops in Boston, New York, Chicago, and online. The company offers online programs in Machine Learning and AI for Financial services
Contact us at info@qusandbox.com to know more.
Checkout our upcoming courses at www.qu.academy