Shawn Shobeiri, Prm
About Shawn Shobeiri, Prm
Shawn Shobeiri is a Manager of Risk at Intersect Power, where he has worked since 2023. He has extensive experience in quantitative risk analysis and data management across various companies, and he holds a Ph.D. in Mathematics from the University of Houston.
Work at Intersect Power
Shawn Shobeiri serves as the Manager of Risk at Intersect Power, a position he has held since 2023. His role involves overseeing risk management strategies and practices within the organization. Based in Houston, he operates in a remote capacity, contributing to the company's focus on sustainable energy solutions.
Previous Experience in Risk Analysis
Prior to joining Intersect Power, Shawn worked as a Senior Quantitative Risk Analyst at Just Energy from 2021 to 2023. He also held positions at Gunvor Group Ltd and BNY Mellon, where he served as a Lead Analyst in Data Management and Quantitative Analyst. His experience spans various aspects of risk analysis and management, enhancing his expertise in the field.
Education and Expertise
Shawn Shobeiri holds a Doctor of Philosophy (PhD) in Mathematics from the University of Houston, which he completed in 2022. He also earned a Master of Science (MS) in Computational Mathematics from Texas A&M University in 2014. His academic background is complemented by a Bachelor of Science (BS) in Applied Mathematics from Shahid Beheshti University. His studies emphasize quantum information science, which he intends to apply in finance and insurance.
Teaching and Research Roles
Shawn has significant teaching experience, having served as an Exam P (Actuarial) Instructor at the University of Houston from 2017 to 2023. Additionally, he worked as a Graduate Research Assistant at the same university for nine years. His teaching and research roles have contributed to his strong foundation in mathematics and risk analysis.
Technical Skills and Programming Experience
Shawn possesses over seven years of programming experience and has more than three years of experience in designing and implementing predictive models using machine learning. He is skilled in various data science tools and languages, including Python, Spark, Hadoop, and MATLAB. His proficiency extends to data visualization and data mining, utilizing tools like Tableau and IBM Watson.