Oleg Reichmann
Risk Management
- Division
- Risk Strategy 
- Current Position
- 
								Senior Financial Risk Expert 
- Fields of interest
- 
								Mathematical and Quantitative Methods,Other Special Topics 
- Education
- 2009-2012PhD in Applied Mathematics, ETH Zurich, Switzerland 
- 2004-2008MA in Business Management, University of Munster, Germany 
- 2003-2008MA in Mathematics, University of Munster, Germany 
- Professional experience
- 2022-Senior Financial Risk Expert, Directorate Risk Management, European Central Bank 
- 2021-2022Financial Risk Expert, Directorate Risk Management, European Central Bank 
- 2017-2021Model Validation Expert, European Investment Bank, Luxemburg 
- 2015-2017Financial Stability Expert, Swiss National Bank, Zurich, Switzerland 
- 2013-2015Postdoc and Lecturer in Financial Mathematics, ETH Zurich, Switzerland 
- 2 May 2025
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 3, 2025Details- Abstract
- The statistical in-house credit assessment systems (S-ICASs) of the national central banks of the euro area are quantitative systems which can assess the credit quality of a large number of small and medium-sized enterprises in an automated manner. These can help broaden the set of eligible credit claims accepted as collateral in monetary policy operations. The acceptance of S-ICASs in the general collateral framework as of 2026 is based on a newly developed harmonised framework, enhancing risk efficiency, addressing level-playing-field considerations and improving crisis preparedness within the Eurosystem.
- JEL Code
- E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
 E61 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Policy Objectives, Policy Designs and Consistency, Policy Coordination
 G01 : Financial Economics→General→Financial Crises
 
- 2021
- Swiss National Bank - Working paper series
- 2021
- Journal of Theoretical Probability
- 2019
- Annals of Applied Probability
- 2018
- SIAM Journal of Financial Mathematics
- 2016
- SIAM Journal of Numerical Analysis
- 2015
- Computational Economics
- 2013
- Linear Algebra and its Applications
- 2013
- SpringerComputational Methods for Quantitative Finance - Finite Element Methods for Derivative Pricing
- 2012
- Numerische Mathematik
- 2012
- Mathematical Models and Methods in Applied Sciences
- 2012
- Energy Policy
- 2012
- Recent Developments in Computational Finance: Foundations, Algorithms and ApplicationsWavelet solution of degenerate Kolmogoroff forward equations for exotic contracts in finance
- 2010
- The Journal of Energy Markets, Risk
- 2010
- Calcolo
- 2010
- Lévy Matters I Lecture Notes in MathematicsNumerical analysis of additive, Lévy and Feller processes with applications to option pricing