Risk & ML Models: Stress, Scenario Testing & Evaluation

Risk & ML Models: Stress, Scenario Testing & Evaluation
LIVE VIRTUAL TRAINING: The use of AI and machine learning in finance has grown significantly. In this one-day online course, we'll examine AI & ML applications, the increased complexity of models, the growing ecosystem of untested frameworks and products, potential for AI accidents, model and reputation risk.
 

 Date: June 27, 2022


 Time: LIVE Training
9:30 AM - 4:00 PM  EDT

 Presented By:
Sri Krishnamurthy, CFA, CAP
 



About this Course

The use of AI and machine learning in finance has grown significantly in the last few years. As more and more AI and ML applications are being deployed in enterprises, concerns are growing about the increased complexity of models, the growing ecosystem of untested frameworks and products, potential for AI accidents, model and reputation risk. As the debate about explainability, fairness, bias, and privacy grows, there is increased attention to understanding how the models work and whether the models are designed and thoroughly tested to address potential issues.

The growth of data-driven applications has changed the financial industry. AI and ML models have accelerated business transformation, reduced turn-around times and have enabled applications that weren’t feasible just a few years ago. Institutions have ramped up the adoption of ML models and are seeing significant benefits through the growing portfolios of ML based decision making models. While the interest is huge, the challenges of comprehensively testing and evaluating ML models remain. AI accidents and the risks associated with algorithmic decision making is challenging enterprises to innovate and adopt risk management techniques factoring in the new realities!

*Combo offer*
This course is a part of the QuantUniversity Machine Learning and AI Risk Certificate Program. Avail additional discounts by enrolling in the Certification program.

Note: All courses come with 90-day access to course materials and recordings on Qu.Academy from the activation/class-start date. You can extend access to Qu.Academy. Contact us for subscription options. All sales are final. No request for cancellations, exchanges, changes, or refunds shall be honored.


Who Should Attend

• Risk professionals
• Model Validators
• Model Auditors
• Data Scientists
• ML engineers and Software engineers involved in ML and AI deployment


About Our Experts

  
 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.



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
 Membership Type:  

 
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].

 
 
When
6/27/2022 9:30 AM - 4:00 PM
Where
Live Virtual Course
 

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