Olga Kapranova
About Olga Kapranova
Olga Kapranova is a Professional Data Scientist with extensive experience in risk management and analytical solutions, currently working at Raiffeisen Bank International AG in Austria since 2017. She previously held various positions at Raiffeisen Bank Russia, contributing to model deployment strategies and hypothesis testing.
Work at Raiffeisen Bank International
Olga Kapranova has been employed at Raiffeisen Bank International AG as a Professional Data Scientist since 2017. In this role, she focuses on developing and implementing data-driven strategies to enhance the bank's operations. Her responsibilities include collaborating with IT teams to elaborate model deployment strategies and communicating analysis results to business stakeholders and management.
Experience at Raiffeisen Bank Russia
Olga Kapranova held various positions at Raiffeisen Bank Russia within the Strategic Risk Management Department. She started as a Junior Officer in 2013 and progressed to Officer, Leading Officer, and finally Senior Officer in the Methods and Modelling Group. Her tenure spanned from 2013 to 2017, during which she was responsible for hypothesis formulation and testing, as well as identifying the need for changes in business processes to implement analytical solutions.
Education and Expertise
Olga Kapranova studied at Российский Экономический Университет им. Г.В. Плеханова, where she earned a Specialist degree in Mathematical Methods in Economics and Risk Management from 2009 to 2014. She also participated in an exchange program at Universität Konstanz in 2013, focusing on Econometrics. This educational background provides her with a strong foundation in quantitative analysis and risk assessment.
Analytical Skills and Responsibilities
In her current role as a Professional Data Scientist, Olga Kapranova specializes in defining the scope of analytical use-cases in collaboration with business stakeholders. She is responsible for formulating and testing hypotheses, ensuring that analytical solutions align with business needs. Her ability to communicate complex analysis results effectively to both stakeholders and management is a key aspect of her work.