Michael Kartavtsev is a seasoned data scientist currently serving as the Director of In-Business Controls at S&P Global Ratings, where he leverages his extensive expertise in risk management and data analytics to enhance the organization’s operational resilience. In this pivotal role, Michael is responsible for...
Michael Kartavtsev is a seasoned data scientist currently serving as the Director of In-Business Controls at S&P Global Ratings, where he leverages his extensive expertise in risk management and data analytics to enhance the organization’s operational resilience. In this pivotal role, Michael is responsible for the identification, assessment, and management of risk exposures as part of the first line of defense, ensuring that S&P Global Ratings maintains its commitment to regulatory compliance and operational excellence.
Michael’s work is characterized by his innovative approach to algorithmic automation, which streamlines risk monitoring and controls, thereby enhancing the efficiency and effectiveness of the organization’s risk management framework. His proficiency in Big Data analysis and programming, particularly with Python, allows him to extract actionable insights from complex datasets, enabling the design and development of key reporting capabilities, including Key Risk Indicators (KRIs), Key Performance Indicators (KPIs), and Management Action Plans (MAPs).
As a business liaison, Michael excels at connecting the dots across highly matrixed environments, aligning the priorities of business, operations, and IT to foster a culture of proactive risk management. His analytical skills are complemented by a deep understanding of credit analysis, stress testing, and internal controls, making him a vital asset in navigating the complexities of the financial landscape. Through his leadership and strategic vision, Michael is committed to driving continuous improvement in risk management practices, ultimately contributing to the integrity and reliability of S&P Global Ratings’ offerings in the marketplace.
