Dhruv Kumr Cairae, Cpa, Scr
About Dhruv Kumr Cairae, Cpa, Scr
Dhruv Kumr Cairae is an Assistant Vice President at HSBC, specializing in analytics, forecasting, and stress testing. He has extensive experience in finance and analytics, having held positions at several notable companies, including Capgemini, Shell, and Capital One.
Work at HSBC
Dhruv Kumr Cairae serves as the Assistant Vice President – Analytics, Forecasting and Stress Testing at HSBC. He has held this position since 2023, contributing to the bank's analytical capabilities in India. His role involves overseeing forecasting models and stress testing methodologies to ensure financial stability and compliance with regulatory requirements.
Education and Expertise
Dhruv Kumr Cairae has a strong educational background in business analytics and finance. He earned a Master of Science in Business Analytics with a Data Science Specialization from the University of Cincinnati's Carl H. Lindner College of Business in 2022. He also holds an MBA in Finance from Sikkim Manipal University, completed in 2009, and a Bachelor of Commerce from Delhi University, achieved in 2006. Additionally, he completed a Post-Graduate Program in Finance Management at the Indian School of Business in 2018.
Professional Background
Dhruv Kumr Cairae has extensive experience in finance and analytics across various industries. Prior to his current role at HSBC, he worked at Capital One as a Business Analytics Manager from 2022 to 2023. His previous positions include Senior Financial Controller at Shell from 2018 to 2021, and SAP Financial Accounting Consultant at Capgemini from 2012 to 2014. He has also held roles such as Plant Finance Manager at Indian Technomac Co. Ltd and Finance Project Manager at Western Coalfields Ltd.
Achievements in Analytics and Automation
Dhruv Kumr Cairae has made significant contributions to analytics and automation in his previous roles. He designed and developed a Business Intelligence dashboard that automated factual commentaries using Python, resulting in a 50% reduction in process timelines. Additionally, he created a governance and control framework for Executive Committee Reporting, which decreased errors by 99%. He also incorporated Machine Learning into forecasting and budgeting processes, enhancing accuracy by 90%.