Lloyd Aromi
About Lloyd Aromi
Lloyd Aromi is a Risk Manager at OTONOMI, where he has worked since 2021, focusing on risk analysis in the blockchain ecosystem. He has published research on Topological Data Analysis and has experience in Decentralized Finance.
Work at Otonomi
Lloyd Aromi has been serving as a Risk Manager at Otonomi since 2021. In this role, he collaborates closely with the CEO, CTO, reinsurers, and underwriters to manage and mitigate risks associated with the company's operations. His responsibilities include developing an automated framework for risk analysis, which enhances the company's ability to assess potential threats in real-time. Aromi's expertise in on-chain analysis and network graphing within the blockchain ecosystem supports Otonomi's strategic objectives.
Education and Expertise
Lloyd Aromi pursued his education at the Universitat de Barcelona, where he studied Mathematics from 2015 to 2019. Prior to that, he attended the Escola Universitària de Disseny i Enginyeria de Barcelona, focusing on Ingenieria en Diseño Industrial from 2013 to 2015. His academic background provides a strong foundation for his work in risk management and data analysis, particularly in the context of blockchain technology and decentralized finance.
Background
Before joining Otonomi, Lloyd Aromi worked as a Data Scientist at Basetis for seven months in 2020. His experience in data science equipped him with essential skills in data analysis and interpretation, which are crucial for his current role in risk management. Aromi has hands-on experience in Decentralized Finance (DeFi), further enhancing his understanding of the financial implications of blockchain technology.
Research Contributions
Lloyd Aromi has published research on Topological Data Analysis in the journal Communications in Nonlinear Science and Numerical Simulation. This work reflects his commitment to advancing knowledge in the field and demonstrates his analytical capabilities. His research contributes to the broader understanding of data analysis techniques, particularly in relation to complex systems.