Francis Imperial Wong
About Francis Imperial Wong
Francis Imperial Wong is an Analytics Engineer II at Alma, based in Brooklyn, New York, with a background in data analysis and actuarial science. He holds a Bachelor's Degree in Financial Actuarial Mathematics from UCLA and a Certificate in Data Science and Visualization from Rutgers University.
Work at Alma
Francis Imperial Wong currently holds the position of Analytics Engineer II at Alma, a role he has occupied since 2023. His work is based in Brooklyn, New York, and he operates in a remote capacity. In this position, he is responsible for analyzing data to inform business decisions and improve operational efficiency.
Education and Expertise
Francis completed his Bachelor’s Degree in Financial Actuarial Mathematics at the University of California, Los Angeles, from 2014 to 2018. He furthered his education by obtaining a Certificate in Data Science and Visualization from Rutgers University, which he completed in 2019. His educational background provides a strong foundation for his analytical skills and expertise in data interpretation.
Background
Francis attended Westfield Senior High School from 2010 to 2014. His early education laid the groundwork for his later academic pursuits and career in analytics and data science. He has accumulated diverse work experience across various organizations, enhancing his skills in data analysis and engineering.
Professional Experience
Prior to his current role at Alma, Francis worked in several positions that contributed to his professional development. He served as an Intern at Gas Management Systems LLC in 2015, an Administrative Assistant at UCLA School of Law from 2017 to 2018, and a Math Instructor at Mathnasium from 2018 to 2019. He also held roles as a Data Analyst at PeerStreet from 2022 to 2023 and as an Actuarial Specialist at the New York City Office of the Actuary from 2019 to 2022.
Internships and Early Career
Francis gained valuable experience through various internships early in his career. He worked as a Data Science Intern at OpenSponsorship in 2019 and as a Data Analytics Intern at Morgan Stanley the same year. These roles provided him with practical skills in data analysis and contributed to his career trajectory in analytics.