● Distinctions: - European Commission educational grant: international double-degree master's program (2015-2017);- Titled "The best master's student 2014: Science", Moscow University;- FRM (2021), CFA (2022–23 charterholder)● Experience: - Financial and risk modelling - Data analysis and visualization (Python, R, M, VBA, SQL, SAS) - Audit and validation (incl. models by Big4) - Internal ratings-based approach for credit risk (IRB) - ICAAP \ ILAAP - Macropridential stress-testing - Supervisory BU stress-testing - Bank’s recovery and resolution plans - Banking legislation development - Regulatory compliance - Capital budgeting and credit limits - ALM - Credit scoring - Valuation - Investment analysis - Scenario analysis and forecasting● Selected projects:- for the International Monetary Fund: https://youtu.be/kGycx46G5h8 Network effects model of the counterparty default (Espinoza- Vega) - Risk aggregation (credit and market VaR) using correlated MCS and Cholesky decomposition - The banks’ systemic significance assessment framework (Bank of Russia’s Directive № РВ-40-84/39 as of 20 Mar 2019) - Credit risk calibration: a bank’s CDS spread as function of a market index G-spread - Real estate market risk assessment model based on the unsmoothed return series