Brad English
About Brad English
Brad English serves as a Research Manager at Alfa Insurance, where he has worked since 2014, focusing on data mining and risk modeling. He also teaches as an adjunct instructor at Faulkner University and has a strong academic background in mathematics.
Work at Alfa Insurance
Brad English has served as a Research Manager at Alfa Insurance since 2014, accumulating ten years of experience in the Montgomery, Alabama area. In this role, he is responsible for data mining and utilizes SQL and SAS programming on a daily basis. He has developed and implemented risk and fraudulent claims models, contributing to the company's analytical capabilities. Additionally, he regularly reports and presents research findings to senior management, ensuring that insights are communicated effectively to inform decision-making.
Previous Experience in Research and Analysis
Before his current role, Brad worked at Alfa Insurance as a Senior Research Analyst from 2010 to 2014. His earlier experience includes a position at BB&T, where he served as a Senior Quantitative Analyst/Credit Analyst from 2008 to 2010. In these roles, he developed skills in quantitative analysis and data interpretation, which he has applied throughout his career in the insurance industry.
Education and Expertise
Brad English holds a Master of Science in Mathematics from the University of Alabama at Birmingham, which he completed in 2007. He also earned a Bachelor of Science in Applied Mathematics from Auburn University in 2006. His educational background provides a strong foundation for his work in data analysis and statistical modeling, particularly in the context of risk assessment and claims analysis.
Teaching Experience
In addition to his work at Alfa Insurance, Brad has been an Adjunct Instructor in Math and Statistics at Faulkner University since 2010. This role has allowed him to share his knowledge and expertise in mathematics with students, contributing to their academic development while maintaining his professional responsibilities in the insurance sector.