General Information & Client Services
  • Americas: +1.212.553.1653
  • Asia: +852.3551.3077
  • China: +86.10.6319.6580
  • EMEA: +44.20.7772.5454
  • Japan: +81.3.5408.4100
Media Relations
  • New York: +1.212.553.0376
  • London: +44.20.7772.5456
  • Hong Kong: +852.3758.1350
  • Tokyo: +813.5408.4110
  • Sydney: +61.2.9270.8141
  • Mexico City: +001.888.779.5833
  • Buenos Aires: +0800.666.3506
  • São Paulo: +0800.891.2518

Olga is the Head of Risk Modelling at Consumer Credit Analytics APAC based in Singapore office. She manages a team of economists and risk modelers in Prague, Dubai and Shanghai who design models for forecasting and simulation, with an emphasis on stress-testing for three key areas: macroeconomic models, market risk and credit portfolio risk.

During her time at Moody’s based in Europe and now in Asia, Olga has led consulting projects with major banks and other financial institutions worldwide focusing on stress testing including CCAR, EBA, PRA as well as IFRS 9 and IRB model design and implementation.

She is directly involved in the research and implementation of Moody's Analytics risk management solutions for market risk and retail credit risk modelling, and often speaks at credit events and economic conferences worldwide, communicating the team’s research and methodologies to the market.

Before joining Moody's Analytics, Olga worked for the Academy of Sciences of the Czech Republic and at a consultancy firm focused on macroeconomic forecasting and analysis of emerging market economies. She has published several academic articles and has been teaching graduate courses in economics, statistics and econometrics.

Olga holds a Ph.D. and M.A. in Economics and Econometrics from Charles University (CERGE-EI), following studies for MSc. in Mathematics and a BSc. with honors in Applied Mathematics.

Related Insights

Moody's Analytics Webinar: Briefing on the EBA Scenarios

The European Banking Authority has released its scenarios for the 2018 EU-wide stress test. Join our experts as they analyze the EBA’s scenario assumptions, narratives driving them and compare them to other regulatory stress tests.

February 14, 2018 WebPage Dr. Olga Loiseau-Aslanidi, Petr Zemcik

Dynamic Model-Building: A Proposed Variable Selection Algorithm

In this article, we propose an innovative algorithm that is well suited to building dynamic models for credit and market risk metrics, consistent with regulatory requirements around stress testing, forecasting, and IFRS 9.

January 2018 WebPage Dr. Juan M. Licari, Dr. Olga Loiseau-Aslanidi, Dr. Dmytro Vikhrov

IFRS 9 Scenario Implementation and ECL Calculation for Retail Portfolios Presentation Slides

In this presentation, Dr. Olga Loiseau-Aslanidi and Alaistair Chan discuss methods for incorporating forward-looking macroeconomic information to meet IFRS 9 impairment calculation requirements. Our economists will address the probability-weighted aspects of IFRS 9 using Moody's Analytics economic scenarios. The team will also discuss our modeling approach for calculating expected credit losses for retail lending portfolios.

October 2017 Pdf Dr. Olga Loiseau-Aslanidi, Alaistair Chan