Model risk management (MRM) is evolving fast because of both regulatory pressure and the introduction of new modeling approaches such as machine learning. This is challenging the existing approach to MRM and forces financial institutions to look for new technological solutions that provide more flexibility, a higher degree of automation, and scale.

This webinar will cover:

• Current state of MRM
• Requirements for technology
• Data-driven MRM Architecture
• Focus on key challenges
  • Model inventory
  • Business processes
  • ML and AI

About Our Experts
		Yields.io co-founder and CEO Jos Gheerardyn has built the first FinTech platform that uses AI for real-time model testing and validation on an enterprise-wide scale. A zealous proponent of model risk governance and strategy, Jos is on a mission to empower quants, risk managers. and model validators with smarter tools to turn model risk into a business driver.  Prior to his current role, Jos has been active in quantitative finance both as a manager and as an analyst. Over the past 15 years he has been working with leading international investment banks as well as with award-winning start-up companies. He is the author of multiple patents applying quantitative risk management techniques to imbalance markets. Jos holds a PhD in superstring theory from the University of Leuven (Belgium).

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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