Both Presenters from Danske Bank are working in Classification modeling team, which is responsible for the development and implementation of predictive models (Credit Rating and Scoring) that estimate the probability of default (PD).

These models play a crucial role in the mitigation and monitoring of the bank's credit risk and the estimates that feed into the solvency calculation, the credit process, pricing, impairment and capital allocation among other things. Building those models requires a deep understanding of predictive statistical concepts and data analysis techniques, ability to interpret banking business logic behind the data also following, understanding and being up to date regarding all regulatory environment rules and procedures.

Description of lecturers:

Peter Sperling, graduated 1998 from Copenhagen Business School, Master of Science.
Worked in:
Danske Bank 1998-2005 as Credit analyst, Management Reporting and Credit Scoring (DK);
GE Money Bank 2005-2015 as Credit Scoring Manager Nordics, Stress testing Specialist Western Europe and Const. CRO Denmark. (Norway, Latvia, Denmark, US);
Danske Bank Chief Analyst, Classification modelling in Risk Analytics of Group Risk Management.

Darius Grinvaldas, graduated in 2010 from Vilnius University, Faculty of Mathematics and Informatics, having Bachelor and Master degrees in Financial and Actuarial mathematics.
Have been in Danske Bank since August 2010, been working as analyst in Credit Risk Management of Lithuania Branch till March 2015, doing various analytics of Lithuanian Credit portfolio, estimating Basel Risk parameters.
Since April 2015 working as Senior Analyst with classification modelling in Risk Analytics department of Danske Bank Group Risk Management.
Previous experience includes 3 years of experience as Financial Analyst in couple other international companies.

 

The moderator of lecture: lecturer of the Department of Finance Engineering Dr Kamilė Taujanskaitė.