Alexander Hanks
About Alexander Hanks
Alexander Hanks serves as the Head of Pricing and Data Science - International at QBE Insurance, where he has worked since 2022. He holds advanced degrees in Mathematics and Data Science and has extensive experience in actuarial roles across various companies.
Work at QBE Insurance Group
Currently, Alexander Hanks serves as the Head of Pricing and Data Science - International at QBE Insurance, a position he has held since 2022 in London, England. In this role, he has contributed to the development of a proprietary pricing tool that enhances efficiency and accuracy in premium calculations. Hanks has also led a team that implemented advanced data science techniques to optimize pricing strategies across various international markets, fostering a culture of innovation and continuous improvement within the pricing and data science team.
Education and Expertise
Alexander Hanks has a strong educational background in mathematics and data science. He studied at the University of Cambridge, where he earned a Master of Arts in Mathematics from 1996 to 1999. He later pursued further studies at UCL, obtaining an MSc in Data Science and Machine Learning with Distinction from 2019 to 2020. Additionally, he completed a Postgraduate Diploma in Computer Science at the University of Cambridge from 1999 to 2000. His academic achievements provide a solid foundation for his expertise in pricing and data science.
Background
Before joining QBE Insurance, Alexander Hanks held various positions in the insurance and actuarial fields. He worked at XL Group as Chief Actuary for XL Re Latin America from 2005 to 2014, where he participated in cross-border collaborations to align pricing strategies with regulatory requirements. He also served as a Senior Manager at EY from 2015 to 2017, and as an Actuarial Analyst at Brit Insurance from 2003 to 2005. Additionally, he co-founded Qwertycards (Tream Tech Ltd.) in Berlin, Germany, from 2014 to 2015.
Achievements
Throughout his career, Alexander Hanks has made significant contributions to the field of pricing and data science. He played a key role in integrating machine learning models into pricing processes, enhancing predictive accuracy for insurance premiums during his tenure at Price Forbes & Partners from 2017 to 2022. His efforts have been instrumental in improving pricing strategies and fostering innovation within the teams he has led.