Zachary Raicik
About Zachary Raicik
Zachary Raicik is a Manager of Data Science at Corvus Insurance, where he integrates machine learning and AI with business strategy. He holds a Master's degree in Computer and Information Technology from the University of Pennsylvania and a Bachelor's degree in Finance and Actuarial Sciences from Bentley University.
Work at Corvus Insurance
Zachary Raicik serves as the Manager of Data Science at Corvus Insurance, a position he has held since 2021. In this role, he focuses on integrating machine learning and artificial intelligence with business strategy to enhance the company's data-driven decision-making processes. His work contributes to the development of innovative solutions that support Corvus Insurance's mission in the insurance sector. The company is located in Boston, MA.
Education and Expertise
Zachary Raicik earned a Master's degree in Computer and Information Technology from the University of Pennsylvania, where he studied from 2020 to 2022. Prior to that, he completed a Bachelor's Degree in Finance and Actuarial Sciences at Bentley University from 2009 to 2013. His educational background equips him with a strong foundation in both technical and financial disciplines. He holds the Fellow of the Society of Actuaries (FSA) and Chartered Enterprise Risk Analyst (CERA) credentials, showcasing his expertise in actuarial science and risk management.
Background
Before joining Corvus Insurance, Zachary Raicik worked at John Hancock as the Director of Data Science from 2015 to 2021. In this role, he led data science initiatives and contributed to the company's analytical capabilities. Earlier in his career, he served as an Actuarial Assistant at Travelers from 2013 to 2014, where he gained experience in actuarial practices. His diverse background in data science and actuarial roles has shaped his approach to integrating technology with business strategies.
Technical Skills and Proficiencies
Zachary Raicik is proficient in multiple programming languages, including SQL, R, Python, and Java. These technical skills enable him to effectively analyze data and develop machine learning models that align with business objectives. His expertise in programming supports his role in data science, allowing him to implement solutions that drive efficiency and innovation within his organization.