Model Risk Management London
A comprehensive overview of the current regulatory landscape of model risk management and best practice approaches for modelling across, risk pricing and credit models.
This model risk management course will take a look at the regulatory guidelines, governance and how to build a model risk management framework for pricing and other model types such as retail. Day two will discuss how machine learning and AI fit in to the picture with valuation models and stress testing credit risk. The training course will close with a session on the third line of defence - the role of audit on model risk management.
The newest regulatory guidelines on model risk management and governance
The impact that libor transition and FRTB has on model risk management
Learn how to gain competitive advantage through artificial intelligence techniques for stress testing credit risk and valuation models
Learn about the processes for building an effective model risk management framework
Gain an insight into the best approaches to the various types of models (pricing, risk, forecasting and compliance)
Learn the role of audit in model risk management and how to create a good control environment
Model Risk Management: Risk, Pricing & Credit Models
The regulatory landscape and governance of model risk
Building a model risk management framework
Model Risk Management for Stress Testing
Model risk perspective on LIBOR transition, FRTB and NMRF’s
Model risk management for pricing models
Model risk management of other modelling types
Machine learning for model validation
Auditing model risk management
Co-Founder and CEO
Jos is the co-founder and CEO of Yields.io. Prior to his current role he 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).
Head of AI - Financial Services | Risk Advisory
Alexander Denev has more than 15 years of experience in finance, financial modelling and machine learning and he is the former lead of the Advanced Analytics & Quantitative Research at IHS Markit. He has written several papers and two books on topics ranging from stress testing and scenario analysis to asset allocation. He is currently writing his third book on Alternative Data in Trading&Investing. Alexander Denev attained his Master of Science degree in Physics with a focus on Artificial Intelligence from the University of Rome, and he holds a degree in Mathematical Finance from the University of Oxford, where he continues as a visiting lecturer.
Masters in Quantitative Finance, Board Member
Rutgers Business School
Tanveer Bhatti advises Ultra-High Net Worth Individuals and has experience at Executive Level at leading banks and have served in a variety of global roles, the most recent being Global Head of Model Risk at Citi. His background is in Model Risk, Market Risk, Counterparty Credit Risk, Valuation, Stress Testing and Treasury Financial Control and he has covered all kinds of risks. Renowned in the risk management community and a frequently sought public speaker, Tanveer is a Mathematical Physicist, Business Administrator and Chartered Accountant by training; he received his undergraduate and postgraduate Degrees in Mathematics from Cambridge University.
Javier Calvo Martin
Javier Calvo Martín is a partner at Management Solutions (MS). He currently leads MS’ office in Germany and is responsible for the relationship with the European Central Bank and the Public Sector industry. During his career, he has led or reviewed a number of projects in global and domestic systemically important financial institutions in the Eurozone and the USA, especially focusing on:
- Model risk management
- Credit risk IRB & IFRS 9 and operational risk (AMA) models development and validation
- Stress testing for internal and regulatory/supervisory processes, such as ICAAP, SREP, CCAR and EBA/ECB exercises
- Economic capital modelling
- Risk organisation and governance, and risk appetite
He also leads Management Solutions’ Research and Development function and co-leads operations in France.
Stefano Bonini PhD, CStat, PStat®
Accenture Finance and Risk
Stefano is a Management Consulting Director of Accenture Finance & Risk and since 2011 has led the development of Accenture Credit Risk Modeling & Validation and Model Risk offering in Italy. He built strong relationships with key clients as Banks and Rating Agencies, being in charge of numerous Risk Modeling, Validation & Model Risk projects mainly within regulatory framework of Basel II/III/IV, IFRS9, and TRIM. He also acted as advisor risk culture formation for board members of Banks under SSM. He also lead the Italian Risk Management Association Study Group on Machine Learning.
Stefano is adjunct professor of Banking and Risk Management at top tier Italian Universities like University of Bologna & MIP Business School, holds a PhD in Banking & Finance and is currently the only person with triple Certified Chartered Statistician: from USA, UK & Italian Statistical Association.
He is regular speaker to industry events & international conferences on Risk Management, is author of publications on books and international journals (Journal of Credit risk, European Journal of Finance) and collaborated with CONSOB within the "Financial Education Month”.
Senior Audit Manager
Lloyds Banking Group
Maurizio Garro works as a Senior Audit Manager for Group Internal Audit at Lloyds Banking Group, where he is involved in providing assurance as SME on market and credit models. His background is in Model Risk, Market Risk, Counterparty Credit Risk, Pricing, Liquidity and Stress Testing.
He has a long standing experience as consultant and banker in model risk management and previously work in the Development and Validation teams of top-tier financial institutions in Europe, U.S., and U.K. for over 14 years.
Maurizio Garro received his Master Degree in Economics from the Bocconi University of Milano and a certificate in Financial Risk Management from GARP.
Head Portfolio Quantitative Research CB Markets
Lloyds Banking Group
CPD / CPE Accreditation
This course is CPD (Continued Professional Development) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event.
This course is CPE (Continuing Professional Education) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event in accordance with the standards of the National Registry of CPE Sponsors.
This two-day workshop has been designed to delve into best practice approaches to building a model risk framework. Attendees will be equipped with a thorough understanding of model risk now and into the future, including the impact of machine learning.
Sydney Harbour Marriott Hotel
Join us for our Model Risk training course with sessions covering the best approaches to building a model risk framework, model validation & performance analysis, the use of machine learning for model validation and monitoring of valuation models, as well as a look at the future challenges and trend