David O.
About David O.
David O. is a Business Data Analyst with over 15 years of experience in the financial sector, currently working at Convex Insurance since 2021. He has held various analytical roles at prominent institutions, including Hiscox, Barclays, and Deutsche Bank, and possesses expertise in data management and risk assessment.
Work at Convex Insurance
David O. has been employed at Convex Insurance as a Business Data Analyst since 2021. In this role, he focuses on analyzing business data to support strategic decision-making within the organization. His responsibilities include utilizing various methodologies to enhance operational efficiency and contribute to the company's objectives.
Previous Experience in Business Analysis
David O. has a diverse background in business analysis, having worked at several prominent financial institutions. He served as a Business Data Analyst at Blackstone from 2020 to 2021 and previously held positions at Hiscox, Deutsche Bank, and Credit Suisse First Boston. His experience spans various roles where he managed and analyzed data critical to business operations.
Education and Expertise
David O. holds an MBA in Finance and Strategy Management from Imperial College London, completed in 2008. He also studied at London Business School, focusing on Investment Management and Corporate Finance. Additionally, he earned a Bachelor's degree in Computer Science from Kingston University. His educational background supports his expertise in data analysis and financial management.
Skills and Methodologies
David O. is skilled in various methodologies, including Prince2, SDLC, Agile Scrum, and RUP, which he applies in strategic projects and change management. He specializes in business process reengineering and employs Gap and Impact Analysis to improve processes. His analytical skills encompass market risk assessment, referencing data management, and the use of financial software systems.
Experience with Financial Data
David O. has extensive experience managing and analyzing different types of financial data, including Reference Data, Static Data, Market Data, Trades Data, and Risk Data. He has worked with financial software systems such as Fidessa LatentZero and Calypso. His expertise also includes credit risk models and metrics related to market risk assessment.