Tatiana Kulminskaya

- Leading data-driven initiatives within the Chief Data Office to enhance performance and operational efficiency in relation to data governance and management, concentrating on data quality, data literacy and data acquisition - Driving stakeholder communication to understand data needs, especially with 3rd party data acquisition - Implemented Agile and Scrum methodologies in Azure DevOps, transforming non-technical team efficiency, streamlining workflows, and accelerating project delivery

- Multiple projects on validation of the IRB PD, LGD and EAD models for corporate and low default portfolios - Multiple projects on IFRS9 model validation and methodological review (PD, LGD, EAD) - Validation of stress testing framework - Multiple projects to assess compliance with TRIM and regulatory requirements

- Development of corporate rating models in multiple banks in Russia - Development of application and behavioral scoring models for banks in Russia - Validation of credit rating systems

- Development of corporate rating models in multiple banks in Russia - Validation of credit rating systems for corporate and retail portfolios - Basel II related projects

Applied macroeconomics, applied time series, clinical trials, data mining, design of experiments, econometrics, financial risk analytics, logistic regression, marketing analytics