Yuvika Lakhani
About Yuvika Lakhani
Yuvika Lakhani is an Associate Consultant at Wells Fargo, specializing in enterprise risk management. She has experience in conducting risk-based internal audits and has worked with various financial entities, including investment banks and advisory platforms.
Current Role at Wells Fargo
Yuvika Lakhani currently serves as an Enterprise Risk Associate at Wells Fargo, a position she has held since 2021. Her role involves managing and analyzing risk within the organization, contributing to the overall risk management framework. She operates from Bangalore Urban, Karnataka, India, where she applies her expertise in risk assessment and management.
Work at KPMG India
Yuvika Lakhani is also an Associate Consultant at KPMG India, where she has been employed since 2019. In this capacity, she specializes in providing risk advisory services to clients in the financial services sector. Her work includes executing risk-based internal audits and ensuring compliance with regulatory standards.
Education and Expertise
Yuvika Lakhani earned her Bachelor of Commerce degree from Mount Carmel College in Bangalore, where she studied Business/Commerce from 2016 to 2019. Her education has equipped her with a solid foundation in business principles, which she applies in her professional roles, particularly in risk management and advisory services.
Internship Experience
Yuvika has gained valuable experience through various internships. She interned at PRAKASH BUS CORPORATION PRIVATE LIMITED in 2017 and at Interactive Avenues from 2018 to 2019. During her internship at Interactive Avenues, she developed skills that contributed to her subsequent roles in risk management and consultancy.
Project Involvement
Yuvika Lakhani conducted a significant project for a major investment bank in the United States, focusing on global clearing of futures and options. This project involved analyzing operational breaks across multiple international locations, showcasing her analytical skills and understanding of complex financial systems.