E:\marcusevansassets\Doc\Events\ Global Financial Markets Intelligence conferences | Live Online Training Course: Model Governance in the Age of Data Science and AI

Global Financial Markets Intelligence

Global Financial Markets Intelligence

Live Online Training Course: Model Governance in the Age of Data Science and AI

Engage with the growing use of data science and AI within financial institutions by implementing a new model governance framework. This course is offered in an entirely online format

19-22 Oct 2020
Online, United States of America

Why You Should Attend

Live Online Training Course: Model Governance in the Age of Data Science and AI

To ensure we meet your expectations and maximise your return on training investment, we favour a classroom/workshop style set up for the delivery of our courses. Please note we therefore have a limited number of spaces available and these will be assigned on a first come, first accepted basis. We recommend early booking to avoid disappointment.

Course Introduction

With innovations in hardware, algorithms and large datasets, the use of Data Science and Machine learning in finance is increasing.As more and more open-source technologies penetrate enterprises, quants and data scientists have a plethora of choices for building, testing and scaling models. Building models with machine learning techniques is different from building models using traditional quant methods and statistical techniques. 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. 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 very formal guidance from regulators on how to govern the tools and the processes, organizations are developing their own home-cooked methods to address model governance challenges.

In this course, we aim to bring clarity on some of the model governance challenges when adopting data science, AI and machine learning methods in the enterprise. We will discuss key drivers of model risk in today’s environment and how the scope of model governance is changing. We will introduce key concepts and discuss key aspects to be considered when developing a model governance framework when incorporating data science techniques and AI methodologies.

How will you benefit?

· Adapt to the growing usage of data science and machine learning, particularly within quantitative modeling

· Improve your own methods to effectively assess and manage the risks posed by complex and novel models

· Achieve clarity on the new scope of model governance in the age of data science and AI

· Develop a new model risk management framework to incorporate the use of data analytics as well as AI techniques and methodologies

· Enhance the scope of your model risk management team

About your expert trainer:

Sri Krishnamurthy, CEO, Chief Data Scientist and Founder, QuantUniversity

Sri Krishnamurthy, CFA, CAP is the founder of QuantUniversity, a data and Quantitative Analysis Company and the creator of the Analytics Certificate program and Fintech Certificate program. Sri has more than 15 years of experience in analytics, quantitative analysis, statistical modeling and designing large-scale applications. He has also consulted with many organizations in establishing model governance practices.

Prior to starting QuantUniversity, Sri has had significant analytical applications at Citigroup, Endeca, and MathWorks and has consulted to more than 25 customers in the financial services and energy industries. He has trained more than 1000 students in quantitative methods, analytics and big data in the industry and at Babson College, Northeastern University and Hult International Business School. Many of his students work in Data science roles at Fidelity, Santander, Wellington, GMO, State Street etc. Sriearned 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.


Pre-course questionnaire:

A detailed questionnaire will be sent to all course participants to establish exactly where the group training needs lie. The completed forms will be analysed by the course leader/trainer and followed by telephone if further clarification is required. As a result we can guarantee that the course is pitched at exactly the right level and that the issues that you regard as relevant are addressed. The course material will reflect these issues and will enable you to digest the subject matter after the event in your own time.

Who should attend?

From financial institutions:

· 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 governance aspects in fintech and financial organizations

Why Choose GFMI marcus evans?

marcus evans specialises in the research and development of strategic events for senior business executives. From our international network of 63 offices, marcus evans produces over 1000 event days a year on strategic issues in corporate finance, telecommunications, technology, health, transportation, capital markets, human resources and business improvement.

Above all, marcus evans provides clients with business information and knowledge which enables them to sustain a valuable competitive advantage and makes a positive contribution to their success.

Voice of Our Customers
  • “Very, very helpful. Please do it again” Executive Director, Morgan Stanley
  • “Great event...subjects and experiences with good examples.” JP Morgan
  • “Well exceeded my expectations, topics were exactly what I wanted to hear and apply” BOK Financial
Join the Discussion

Event Contact

For all enquiries regarding speaking, sponsoring and attending this conference contact:

Kamelia Simeonova

101 Finsbury Pavement, London, EC2A 1RS

0044 203 002 3172
Email: kamelias@marcusevansuk.com