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Explore Experience Excel MODEL RISK MANAGEMENT FOR MACHINE LEARNING MODELS PRESENTED BY QUANTUNIVERSITY https mrmforml splashthat com
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QUANTUNIVERSITY TABLE OF CONTENTS 01 02 05 06 07 08 09 10 11 About Course Model Risk Management for Machine Learning Models Sample Content Testimonials Faculty and Guest Speakers Other Course Offerings Registration Information and Contact Details
QUANTUNIVERSITY ABOUT QuantUniversity www quantuniversity com is a quantitative analytics and machine learning advisory based in Boston Massachusetts QuantUniversity runs various data science and machine learning workshops focused on the Financial Services Industry in various cities in PUBLIC North America and Europe and online through www qu academy The RELATIONS company offers an Analytics Certificate Program and the Fintech John D Rockefeller Don t be afraidin to give the good Certificate program along with multiple workshops itsup Exploreto go for the great Experience Excel series Contact us at info qusandbox com EXPLORE EXPERIENCE EXCEL Introductory courses Advanced thematic Guided Hands on geared towards courses geared towards project based professionals getting professionals who have experiential learning into Data science completed the Explore to emulate real world and Machine series or have scenarios Learning work academic experience 1
COURSE MODEL RISK MANAGEMENT FOR MACHINE LEARNING MODELS Dates On Demand Number of Sessions Duration per session 8 1 5 Delivery Online through www QuAcademy com with Video Demos Case studies Labs COURSE DETAILS Role of Machine Learning and AI in Financial services Model Risk Management Challenges with machine learning models Validating machine learning models Quantifying risk best practices and templates Regulatory guidance and the future Practical Case studies with sample code 2
COURSE MODEL RISK MANAGEMENT FOR MACHINE LEARNING MODELS Session 1 MODULE 1 Machine Learning and AI A model risk perspective Drivers of Model Risk in the age of data science and AI Machine Learning vs Traditional quant models How has the world changed A tour of Machine Learning and AI methods Supervised vs Unsupervised Learning Regression Neural Networks XGBoost PCA Clustering Deep Learning Reinforcement Learning Keras Tensorflow PyTorch Automatic Machine Learning Data Robot H20 ai etc Machine Learning APIs Google Comprehend Watson ML on the cloud vs On prem Session 2 MODULE 2 Model Risk Management for Machine Learning Models Part 1 Models redefined Data Modeling environment Modeling tools Modeling process The Decalogue Ten key aspects to factor when developing your model risk management framework when integrating Machine Learning models 1 Models redefined It s not just input process and output 2 Governing the Machine Learning process 3 Model Verification and Validation for Machine Learning Models 4 Performance Metrics and Evaluation criteria 5 Model Inventory and tracking 3
COURSE MODEL RISK MANAGEMENT FOR MACHINE LEARNING MODELS Session 3 MODULE 3 Model Risk Management for Machine Learning Models Part 2 The Decalogue Ten things to think about when developing your model governance framework when integrating Machine Learning models cont d 6 Integrating Data Governance and Model Governance 7 Development Models vs Production Models 8 Fairness Reproducibility Auditability Explainability Interpretability Bias a How do we objectively measure these b Review of the Apple Goldman Sachs Credit card debacle 9 Machine Learning options and considerations a AutoML Data Robot H20 ai etc ML as a service Google Comprehend Watson and home cooked custom models 10 ML and Governance Roles and Responsibilities redefined Session 4 MODULE 4 Pragmatic Model Risk Management for AI ML models Challenges and best practices for pragmatic model management within the enterprise Working with open source projects Working with vendor models and machine learning APIs Quantifying model risk for machine learning models Model risk management for deep learning models Validation criteria and best practices Templates for Model Validation for machine learning models Use of Synthetic datasets 4
COURSE MANAGING RISK IN AI AND MACHINE LEARNING MODELS Session 5 Module 5 Hands on Case study Validating a Credit Risk Machine Learning Model A case study illustrating a model validation of a credit risk model involving machine learning Working with Regression Neural Networks and Random Forest models Development models vs Production models Sample templates and worksheets will be provided Roadmap for the MRM team to upskill and keep abreast of changes in the AI and ML landscape Training education and expectation setting Future outlook Regulation Sandboxes Frameworks Review of recent regulatory efforts How should companies proactively plan for changes and the future Session 6 Session 7 Optional Machine Learning Model Optional Machine Learning Model Validation Capstone project Validation Capstone project Participants will go through a guided exercise to perform model validation on a chosen machine learning model of their choice Guidance will be Participants will demonstrate their findings to the class and obtain feedback from instructors and industry participants provided in scoping and implementing the project 5
TESTIMONIALS I really loved the format of this course The flexibility with respect to time was great as the modules were prerecorded and the possibility to pose questions to Comprehensive nature of the the instructor in scheduled Q A curriculum and the layout sequence meetings was extremely useful which flowed very naturally Along these lines Sri did an effective job of introducing the big picture and alternating between focus on the building blocks and relating those back to the bigger picture Very competent and passionate about this very vast subject and caring about the learning of his students even if the course was asynchronous it has been real a pleasure to learn from Sri Sri was an awesome instructor He took care of the group s needs and offered different channels to pose questions 7
FACULTY Sri Krishnamurthy CFA CAP is the founder of www QuantUniversity com a Data and Quantitative Analysis Company specializing in large scale Machine Learning and AI solutions Prior to starting QuantUniversity Sri has worked at Citigroup Endeca MathWorks and with more than 25 customers in the financial services and energy industries He has trained more than 10 000 students in quantitative methods analytics and big data in the industry and at Babson College Northeastern University and Hult International Business School Sri earned an MS in Computer Systems Engineering and another MS in Computer Science both from Northeastern University and an MBA with a focus on Investments from Babson College Sri serves on the steering committee of QWAFAFEW and is a reviewer of the Journal of Asset Management 8
QUANTUNIVERSITY OTHER COURSE OFFERINGS DURATION 52 weeks COST Contact info qusandbox com for more information Machine Learning AI for Financial Professionals Certificate EXPLORE Machine Learning and AI in Finance Fundamentals 32 units 1 Just enough Python for Data Science 4 units 2 Quantitative and Statistical Methods for Data Science 4 units 3 Optimization Methods in Finance 4 units 4 Data Analytics with Tableau for Financial Professionals 8 units 5 Machine Learning and for Financial Professionals 8 units 6 Risk and Ethics in Machine Learning AI 4 units EXPERIENCE Advanced Machine Learning AI in Finance Tracks 12 units Machine Learning Modeling Specialization AI ML Risk Management Specialization Fintech Specialization Machine Learning in Asset Management 4 units Deep Learning Reinforcement Learning in Finance 4 units Anomaly Detection and Outlier Analysis 4 units Synthetic Data Generation 4 units Model Risk Management for AI ML Models 4 units AI Governance 4 units Explainability and Interpretability 4 Units Production ready Machine Learning 4 units Fintech the 8 Facets 8 units Business Models in Fintech 4 units EXCEL www quantuniversity com Capstone Project 8 units info qusandbox com 10
REGISTRATION INFORMATION SCAN TO REGISTER https bit ly 3ldbE9L Model Risk Management for Machine Learning Models CONTACT US QuantUniversity quantUniversity quantuniversity Info qusandbox com 11