Kshitij Agarwala, Cpcu, Arm
About Kshitij Agarwala, Cpcu, Arm
Kshitij Agarwala is a Senior Manager in Catastrophe Modeling at Xceedance, with a strong background in mathematics and statistics. He has over a decade of experience in the catastrophe risk domain, having previously worked at AIG and held various positions at Xceedance.
Current Role at Xceedance
Kshitij Agarwala serves as the Senior Manager of Catastrophe Modeling at Xceedance since 2023. His role involves overseeing catastrophe modeling processes and ensuring the effective application of risk models. He operates in a hybrid work environment based in Noida, Uttar Pradesh, India. In this position, he utilizes his extensive experience in the field to lead projects and guide his team in analyzing catastrophe risks.
Previous Experience at AIG
Before joining Xceedance, Kshitij Agarwala worked as a Catastrophe Modeling Associate at AIG from 2013 to 2015 in Bengaluru, India. During his tenure, he contributed to the catastrophe risk domain and received appreciation and recognition rewards for his excellence in task performance. This experience laid the groundwork for his subsequent roles in catastrophe modeling.
Career Progression at Xceedance
Kshitij Agarwala has held multiple positions at Xceedance, starting as an Assistant Manager in Catastrophe Modeling from 2017 to 2019. He then progressed to Manager of Catastrophe Modeling from 2020 to 2022, before assuming his current role as Senior Manager in 2023. Throughout his career at Xceedance, he has demonstrated consistent growth and expertise in catastrophe modeling.
Educational Background
Kshitij Agarwala completed his Bachelor of Science in Statistics (B.Sc. Hons) at Delhi University from 2008 to 2011. He further pursued a Master of Science in Operational Research (M.Sc) at the same institution from 2011 to 2013. His educational background in Mathematics and Statistics provides a solid foundation for his work in catastrophe modeling.
Expertise in Catastrophe Modeling
Kshitij Agarwala possesses expertise in utilizing various catastrophe risk models, including RMS, AIR, and EQE/RQE, for spatial distribution analysis. He is skilled in effective communication and interaction with international counterparts, facilitating various ad-hoc services. Additionally, he mentors and trains junior analysts, enhancing their understanding and knowledge of catastrophe modeling.