Victor Lew
About Victor Lew
Victor Lew is a Senior System Business Analyst at Transamerica Life Insurance Company, where he has worked since 2014. He holds a Bachelor of Science in Biology from California State University-Los Angeles and has extensive experience in data management systems, particularly Oracle Database and IBM DB2.
Work at Transamerica
Victor Lew has been employed at Transamerica Life Insurance Company since 2014, currently holding the position of Senior System Business Analyst. In this role, he utilizes his expertise in data management and analysis to support the company's financial services operations. Prior to this position, he worked for 29 years as a Programmer Analyst at the same company, demonstrating a long-standing commitment to the organization.
Education and Expertise
Victor Lew earned a Bachelor of Science degree in Biology from California State University-Los Angeles. His educational background in biology provides him with a unique analytical perspective that can be beneficial in the financial services sector. He possesses expertise in Oracle Database and IBM DB2, which are essential for managing large-scale data systems. Additionally, he has strong skills in TSO and IBM Mainframe, indicating proficiency in legacy systems.
Background
Victor Lew has a diverse professional background that spans several decades. He began his career at Transamerica Life Insurance Company in 1985, where he worked for 29 years as a Programmer Analyst before transitioning to his current role as Senior System Business Analyst. His long tenure at the company reflects his extensive experience in the financial services industry.
Technical Skills
Victor Lew has developed a robust skill set that includes proficiency in Oracle Database and IBM DB2, both of which are critical for data management in the financial services industry. His strong skills in TSO and IBM Mainframe further demonstrate his capability in handling legacy systems that are commonly utilized in financial institutions. These technical skills enable him to effectively analyze and manage large-scale data systems.