Emerging Trends in Stress Testing

Expand your knowledge of stress testing and its application to climate risk, AI, machine learning and data requirements.

Emerging Trends in Stress Testing

June, 2020

View agenda here    View pricing options

COVID-19 update

Due to the escalation of the COVID-19 developments and the restrictions being placed on travel, Risk Training has taken the decision to provide our May, June and July training courses virtually.

The decision to move remotely has not been taken lightly, but our utmost priority is to safeguard the wellbeing of all our delegates, speakers and staff.

We are hopeful that we will be able to return to our in-person events later this year, however as this unprecedented situation is changing every day, we remain watchful but also focused on delivering this much anticipated course.


01 June 2020
2020-06-01 08:30:00 +0100

About the course

This training course, led by expert practitioners, will address the best practise approaches and applications of stress testing and how best to improve on the efficiency, processing and utilisation of stress testing results.

With a dedicated session on scenario design, participants will have the opportunity to develop and share their knowledge through group exercises and practical examples. This course will also provide a deep dive into credit risk stress testing frameworks, non-financial risk and the impact of stress testing on capital allocation.

This course will provide attendees with knowledge on how to adapt stress testing to an evolving business model and emerging trends including climate risk, machine learning and understanding data requirements.

What will you learn?
  • How to utilise stress testing for business decision making
  • Address the challenges of credit risk stress testing
  • Practical workshop for best practise scenario design
  • What tools are needed when stress testing climate risk
  • How AI and machine learning can optimise stress testing processes
  • Understand how to develop data consistency for effective stress testing
Who should attend?

Relevant departments may include but are not limited to:

  • Stress testing
  • Credit risk
  • Market risk
  • Internal audit
  • Regulatory compliance
  • Capital management
Sessions include
  • Embedding stress testing frameworks to inform business decisions
  • Credit risk stress testing
  • Group activity: scenario design workshop
  • The impact of stress testing on capital allocation 
  • Non-financial risk and stress testing
  • Challenges in Stress testing: Market Risk and Counterparty Credit Risk
  • Enhancing stress testing with AI and machine learning
  • Stress testing for climate risk

Chaoxin Zheng

Head of EMEA economic capital and stress testing framework

Morgan Stanley

Sunil Verma

Executive director


Rohan Kataria

Head of execution for WMR traded risk stress testing


Rohan Kataria is the Head of Execution for Traded Risk Stress Testing at HSBC since early 2019. He is responsible for Planning, Execution and Delivery of Trading Risk Stress Testing at the Group Level, includes both Market Risk and Counterparty Credit Risk. He is involved in various stress tests submissions, including PRA and EBA.

Previously Rohan worked with Credit Suisse in London for 8 years. His recent role was an ICAAP Market Risk Manager.  He was responsible for Pillar 2A assessment for Market Risk for UK legal entities. Overall, Rohan has 15+ years of experience in various roles including but not limited to stress testing, scenario analysis, front-to-back processes, trade lifecycle, regulatory capital & reporting.

Rohan holds an Executive MBA degree from London Business School and is FRM (GARP) certified. He did his graduation in Electrical Engineering from Indian Institute of Technology (IIT) , Mumbai.

Maurizio Garro

Senior Lead – IBOR Transition programme

Lloyds Banking Group

Maurizio Garro works as a Senior Lead BA for the IBOR Transition programme at Lloyds Banking Group, where he is leading the delivery of the changes required for models, curves and products for the transition to the alternative risk-free rates for the Front and Back book. His background is in quantitative risk management, Model Risk, Market Risk, Counterparty Credit Risk, Pricing, Liquidity and Stress Testing. 

He has a long-standing experience as an internal auditor, consultant and banker in model risk management and previously worked in the Development and Validation teams of top-tier financial institutions in Europe, U.S., and the U.K. for over 15 years.  

Maurizio is a  frequent speaker on various topics in risk management, a member of the Institute of Internal Auditor and the Director of the Global Association of Risk Professional (GARP) London Chapter.

Maurizio Garro received his Master Degree in Economics from the Bocconi University of Milano and a certificate in Financial Risk Management (FRM) from GARP.

Gerald Redinger


SSM Banking Supervision

Management responsibility in several Austrian Banks in the areas: risk management, performance controlling and internal audit. Expert tasks in an international audit firm and in the SSM Banking Supervision. Extensive trainer activities in risk management, banking and regulation topics.

Filipe Lemos

Risk manager

Banco BNI Europa

Imran Syed

Market risk stress testing

Credit Suisse

Imran Syed is a Market Risk Stress Testing Manager with Credit Suisse.

He is involved in the design and calibration of scenarios, development of scenario frameworks and key regulatory submissions. He is currently responsible for the firm wide Coronavirus and Brexit related market risk stress tests. He was previously with BAML, heading the Risk Analytics, Derivatives and Capital Markets teams at the India Centre of Excellence.

Dr Daniel Mayenberger

co-author of the upcoming book "Reverse Stress Testing in Banking - A Comprehensive Guide: Regulatory Requirements, Practical Use Cases, Artificial Intelligence, Recovery & Resolution Planning and Governance

Dr. Daniel Mayenberger has in-depth quantitative expertise across asset class and is an experienced leader of large global teams, held a variety of positions in modelling and risk management at Barclays, Credit Suisse, Bank of America, Deutsche Bank and KPMG.

He frequently speaks at high-profile international conferences on the latest methodologies such as artificial intelligence and machine learning.
Daniel holds a doctorate in pure mathematics from the University of Trier and an executive MBA with distinction from London Business School.