Lidor Kremer
About Lidor Kremer
Lidor Kremer is a Risk Data Analyst at Melio, where he has worked since 2021, focusing on fraud prevention through advanced data analysis. He holds a Bachelor's degree in Political Science and Sustainability from Reichman University and has prior experience at Payoneer as a Fraud Data Analyst.
Work at Melio Payments
Lidor Kremer has been serving as a Risk Data Analyst at Melio since 2021. In this role, he focuses on developing new features and rules to prevent fraud in real time. He employs advanced data analysis techniques to enhance the company's risk management strategies. Kremer collaborates closely with software engineering, data science teams, and product management to improve machine learning models. Additionally, he creates and maintains dashboards that visualize data insights for the department, facilitating better decision-making.
Education and Expertise
Lidor Kremer holds a Bachelor's degree in Political Science and Sustainability from Reichman University (IDC Herzliya), where he studied from 2015 to 2019. He furthered his education at John Bryce, achieving a Data Analyst Expert certification in 2021. His academic background provides a strong foundation for his analytical skills, which he applies in his current role to provide data-driven insights and support fraud prevention initiatives.
Background
Before joining Melio, Lidor Kremer worked as a Fraud Data Analyst at Payoneer from 2019 to 2021. This position allowed him to gain valuable experience in the risk and fraud domain, where he utilized statistical modeling techniques to analyze data effectively. His transition from Payoneer to Melio reflects his commitment to advancing his career in data analysis and risk management.
Technical Skills and Tools
Kremer utilizes AWS for data processing and analysis in his role as a Risk Data Analyst. His expertise in statistical modeling enables him to provide accurate insights that inform risk management strategies. By leveraging advanced data analysis techniques, he contributes to the development of features that enhance fraud prevention measures within the organization.