Yaroslav Konoplev

Angestellt, Manager - Data Scientist, Raiffeisenbank
München, Germany

Skills

Data Science
Risk Management
Python
SQL
Audit
IRB
ICAAP
Model
Data Modelling
Statistical Modelling
Machine Learning
Project Management
IFRS
Validation
Data Analysis
Business Process Management
R programming language
Leadership
Analytical skills
Leadership skills
Interne Revision

Timeline

Professional experience for Yaroslav Konoplev

  • Current 5 years, since 2021

    Manager - Data Scientist

    Raiffeisenbank

    IRB approach implementation (PD, LGD, CCF models for retail and SME non-retail). Coordination Development and Validation departments, RWA and provisions optimization (created QRREs methodology, modelling data samples quality improved using SAS, Python, SQL).

  • 2020 - 2021

    Managing Risk-Manager - Model Developer

    Promsvyazbank

    Developed corporate PD models based on public data and built relationship graph for clustering company in group - collected, analysed and imputed data, pre-transformed risk-factors, developed and automated PD models using Python and MS SQL.

  • 2016 - 2020

    Chief Internal Auditor - Model Risk Validator

    Sberbank

    Verified RWA and IFRS 9 provisions algorithms for non-retail. Checked models and data in retail and non-retail credit risks process: PD, LGD, EAD, PD-lifetime (IFRS 9), ICAAP models (EC, VaR, RAROC, RoRWA) - using Python, SQL (Oracle, MS SQL, Teradata) Validated ICAAP process (portfolio limits and stress-tests). Reproduced Internal Validation tests (IRB PD Models) - using VBA, R, Python Developed IT-platform (database architect and online report).

Educational background for Yaroslav Konoplev

  • 6 years and 9 months, 2009 - Sep 2015

    Applied mathematics and physics

    Moscow Institute of Physics and Technology

Languages

  • English

    Fluent

  • Russian

    First language

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