Quantifying model risk | Kisaco Research
  • 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
Session Topics: 
Quantification
Speaker(s): 
Speaker

Author:

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.

 

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.