- Overcoming the increase usage of AI and big data
- Implementing sufficient frameworks and governance to protect the use of big data
- The risks associated with big data in AI versus traditional, less data heavy models
- Managing the disruptive nature of AI
- Preparing for the scale increase from traditional to AI models
- Overcoming challenges in interconnected models
- Reducing bias and ensuring ethics in AI modelling
AI/ ML
Moderator
Julian Philips
Global Head of Model Risk Audit
HSBC
Speakers
Ushnish Banerjee
EMEA QAG Vice President
Morgan Stanley
Ushnish is an experienced model risk practitioner with more than 10 years of experience across Banks (Morgan Stanley and HSBC) as well as consulting firms (Ernst and Young and KPMG). Ushnish has accrued skills and experience across credit risk (IRB/IFRS9/CECL), traded credit risk (IMM/CVA/IRC) and stress testing models across all three lines of defence. Ushnish has prior experience in conducting learning courses for risk.net.
Rita Gnutti
Executive Director, Internal Validation and Controls, Group CRO Area
Intesa Sanpaolo
Sanja Hukovic
Head of Model Risk Management
London Stock Exchange Group
- How do key existing sectoral legal requirements and guidance in UK financial services apply to AI?
- Which ones are most relevant? Are they sufficient? What are the gaps?
- What are the likely challenges in operationalising them, at scale?"
AI/ ML
Moderator
Shameek Kundu
Head Of Financial Services and Chief Strategy Officer
Truera
Shameek Kundu is Chief Strategy Officer at TruEra. and one of the representatives from Singapore at the Global Partnership on AI, where he is co leading a project to demonstrate the practical use of Privacy Enhancing and adjacent technologies for well-governed data access for "AI for good" projects.
Shameek has spent most of his career in driving responsible adoption of data analytics/ AI in the financial services industry. He is a member of the Singapore Government's Advisory Council on AI and Data, the Bank of England’s AI Public-Private Forum and the Monetary Authority of Singapore’s Steering Committee on Fairness, Ethics, Accountability and Transparency in AI..
Until 2020, Shameek was Group Chief Data Officer at Standard Chartered Bank, where he helped the bank explore and adopt AI in multiple areas, shaped the bank’s internal approach to responsible AI, and had direct experience of working on data privacy, data sovereignty and data sharing issues in a commercial context
Speakers
Senthooran Rajamanoharan
Head of Behavioural and Automation Model Risk
NatWest
Mohammed Gharbawi
Co-Head of the Fintech Hub
Bank of England
Chris Heys
Partner, Risk Modelling Services
PwC
- Lessons learned from the first-round of climate stress testing
- Validating emerging models and increase robustness
- Overcoming data limitations
Validation
Climate Risks – Stress Testing
Speaker
Konstantina Armata
Senior Modelling Expert, Former Group Head of Model Risk Management at Barclays
Konstantina is a highly experienced Financial Risk professional with over 20 years career in Banking in various Quantitative Modelling roles, most recently as the Group Head of Model Risk Management at Barclays. Prior to that, she worked at Deutsche Bank where she built and led the Bank’s Model Risk Management function and before that at UBS in various quantitative roles in both the Front Office and Risk. Konstantina has extensive experience in developing Model Risk Management frameworks including methodologies to assess and quantify Model Uncertainties and their impact on the output of the framework they are used for (e.g. Capital in stress, IFRS9 etc). Konstantina’s most recent work involves Climate Transition modelling. She holds a PhD in Mathematics from Imperial College, London and an MSc and BSc in Mathematics from ENSIMAG, Grenoble, France and the University of Patras, Greece respectively.
- Understanding and adapting models to early indicators of market changes
- Focus on short term leading indicators to prevent necessity of major overhauls
- Increasing efficiency of model adaptation from months to weeks
- Mitigating model risk in a volatile environment
Data
Climate Risks – Stress Testing
- Are we taking a quantitative over a qualitative approach?
- Overcoming the heterogeneity of models for quantification
- How are regulatory pressures affecting quantification techniques?
- The importance of tiering models for validation in the AI model era
Quantification
Speaker
Sebastian Ptasznik
Head of IFRS9 and Non-credit Risk Validation
Close Brothers
Sebastian in the Head of IFRS9 and Non-Credit Risk Validation at Close Brothers at Close brothers Group. He is an experienced leader with over 14 years of experience in quantitative analytics working with tier 1 banks (Barclays, HSBC, NatWest, Lloyds, Westpac,), leading advisory and technology companies (Palantir Technologies, Accenture). He has a proven track record of delivering complex analytical projects while working across multiple locations (London, NYC, Sydney, Singapore, San Francisco, Toulouse, Warsaw) with geographically dispersed teams. He has an academic background in econometrics/statistics and specialises in credit risk modelling, model risk management, machine learning/artificial intelligence, management consulting, and business development. He has a strong grasp of emerging technologies and state-of-the-art modelling methodologies.
Adhiraj Saxena
Senior Lead, Business Technology Incubation, Singapore IMDA
IMDA
Adhiraj is from the Singapore Government’s IMDA agency. He is the senior lead for its PET unit. As member of the PET Summit’s board, he helped bring the inaugural Asia Pacific PET Summit to Singapore in 2022. He sits in OECD’s PET Experts Workgroup to advice the G7 strategy on trusted data flow and AI safety. He has a background in data science and product development.
- Measuring uncertainty in models
- Exploring the uses of scenario expansion, forecasting, and further stress testing to validate models
- The evolution of climate risk – how it’s going to revise validation techniques
- Managing the actions of model validation findings
Validation
Moderator
Mehdi Esmail
Cofounder and Chief Product Officer
ValidMind
Mehdi Esmail is the Co-founder and Chief Product Officer at Validmind, a VC-backed startup focused on simplifying Model Risk Management for Financial Services. He has over a decade of experience in data, analytics, and risk management for the Financial Services industry, having served as both an operator working with the Chief Data Officer at American Express, and as a consultant for Fortune 100 Financial Services companies.
Speakers
Sebastian Ptasznik
Head of IFRS9 and Non-credit Risk Validation
Close Brothers
Sebastian in the Head of IFRS9 and Non-Credit Risk Validation at Close Brothers at Close brothers Group. He is an experienced leader with over 14 years of experience in quantitative analytics working with tier 1 banks (Barclays, HSBC, NatWest, Lloyds, Westpac,), leading advisory and technology companies (Palantir Technologies, Accenture). He has a proven track record of delivering complex analytical projects while working across multiple locations (London, NYC, Sydney, Singapore, San Francisco, Toulouse, Warsaw) with geographically dispersed teams. He has an academic background in econometrics/statistics and specialises in credit risk modelling, model risk management, machine learning/artificial intelligence, management consulting, and business development. He has a strong grasp of emerging technologies and state-of-the-art modelling methodologies.
Manuele Iorio
Head of Model Risk Measurement and Quantification
Barclays
Dimitrios has 15 years of Banking experience in various Quantitative Modelling roles, most recently as the Head of Model Risk Measurement at Barclays, where he focuses on developing approaches to assess model uncertainty for the key risk metrics of the Bank. Prior to that, he worked at Deutsche Bank where he led various teams within Counterparty and Market Risk model development and then within Model Risk Management, incl. Model Validation, Framework design and Technology for model testing platforms. He holds an MSc and BSc in Finance from The London School of Economics and the University of Macedonia, Greece respectively.
William Durham
Head of Risk Methodology
Bank of England
Ratul Banerjee
Head of Model Validation
OSB