Senior Manager, Emerging Technologies
KPMG in Russia and the CIS
Liliya joined KPMG in November 2018. Prior to joining KPMG she has been working for more than 10 years as an anti-fraud professional for major Russian and European banks. She also acted as head of the department of economic security and fraud prevention at the RN Bank (the Renault-Nissan alliance in Russia), where she streamlined the processing of risky credit applications and optimized decision-making and fraud prevention processes, including image and symbol recognition for document forgery detection. In 2017 she established a centre for fraud prevention at the Informzaschita system integrator, and in the first year expanded the services portfolio thanks to collaborating with new anti-fraud partners in such spheres as session-based fraud detection and optical document forgery detection.
Liliya has a broad experience of managing projects on investigations, identification and analysis of fraudulent actions, internal investigations, assessment and implementation of anti-fraud systems in financial sector. Her experience includes:
In the Media
Comments for RBC on the advantages and the cost of using video ATMs.
Comments for Kommersant on making rapid money transfers without opening bank accounts.
Comments for RBC PRO on the results of the KPMG Russian Insurance Market Survey 2019.
Comments for RBC on providing banks that joined the Faster Payments System with an opportunity to connect other credit organisations to this system for a fee.
Comments for RBC on the main problem behind creating UBS databases.
Comments for RBC on the obstacles for the implementation of biometrics in banking.
An article for Forbes on implementing biometric data technologies in banking.
Comments for RBC on how eliminating the use of identification documents at bank branches will impact how quickly customers are served.
Comments for Rossiyskaya Gazeta on the digital transformation of the financial sector.
Comments for RBC PRO on a service which issues loans via social networks and messengers.
Moscow Polytechnic University, Technology, equipment and automation of machine-building production
Moscow Polytechnic University, Management and production control at the enterprise