Model Risk Management for Machine Learning Models
LIVE ONLINE TRAINING: In this course, we aim to bring clarity on some of the model risk management and validation challenges with data science and machine learning models in the enterprise.
Date: May 23, 2022
Time: LIVE Training
9:30 AM - 4:00 PM EDT
Presented by:
Sri Krishnamurthy, CFA, CAP
| About This Course |
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The financial industry has been adopting AI and machine learning at a rapid pace. Alternative datasets including text analytics, cloud computing, algorithmic trading are game changers for many firms exploring novel modeling methods to augment their traditional investment and decision workflows.
As more and more open-source technologies penetrate enterprises, quants and data scientists have a plethora of choices for building, testing and scaling models. While there is significant enthusiasm, model risk professionals and risk managers are concerned about the onslaught of new technologies, programming languages, and data sets that are entering the enterprise. With little formal guidance from regulators on how to validate models and quantify model risk, organizations are developing their own home-cooked methods to address model risk management challenges.
In this course, we aim to bring clarity on some of the model risk management and validation challenges with data science and machine learning models in the enterprise. We will discuss key drivers of model risk in today’s environment and how the scope of model risk management is changing. We will introduce key concepts and discuss aspects to be considered when developing a model risk management framework incorporating data science techniques and machine learning methodologies in a pragmatic way.
Learning Objectives:
• Role of Machine Learning and AI in financial services
• Model Risk Management challenges and best practices for machine learning models
• Validating machine learning models: Quantifying risk, best practices and templates
• Regulatory guidance and the future
• Practical case studies with sample code
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| Who Should Attend |
• Model Risk professionals, Model validators, Regulators and Financial professionals new to data-driven methodologies
• Quantitative analysts, investment professionals, Machine learning enthusiasts interested in understanding model risk and governance aspects in fintech, insurance and financial organizations
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| About Our Expert |
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Sri 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: 5 |
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]
| Registration |
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Price |
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| PRMIA Members - USE DISCOUNT CODE PRMIA100 |
$799.00 |
| Regular Price |
$899.00 |
Register Now
Note: You will leave PRMIA.org and be taken to our training partner's registration site.
Need support? Contact QuantUniversity at [email protected]
QUANTUNIVERSITY REGISTRATION POLICIES
This course is being delivered by a PRMIA Training Partner, QuantUniversity. All registrations, payments, and course operations will be managed exclusively by QuantUniversity. When registering for the course, you will leave PRMIA.org and use QuantUniversity's registration system, proprietary learning management system, and www.qu.academy for labs. Questions and requests should be directed to QuantUniversity at [email protected].