Anirudh Jayaraman
About Anirudh Jayaraman
Anirudh Jayaraman is a Risk Modeling and Analytics Specialist at UBS, with a background in quantitative finance and risk management. He has held positions at Verity Knowledge Solutions, CRISIL Global Research & Analytics, and MSCI Inc., and has academic qualifications in Electronics and Electrical Engineering and Economics.
Current Role at UBS
Anirudh Jayaraman currently serves as a Risk Modeling and Analytics Specialist at UBS, a position he has held since 2020. In this role, he specializes in reviewing credit models, particularly for securities backed lending and margin lending within UBS's Lombard business. His responsibilities include risk quantification and enhancing model accuracy and reliability through his expertise in quantitative finance.
Previous Experience in Financial Analysis
Prior to his current role, Anirudh Jayaraman worked at several notable firms. He was an Investment Banking Analyst at Verity Knowledge Solutions Pvt. Ltd. from 2011 to 2013 in Hyderabad. He then progressed to CRISIL Global Research & Analytics as a Senior Quantitative Analyst from 2017 to 2019 in Mumbai. Following this, he joined MSCI Inc. as an Associate for a brief period in 2020, also in the Mumbai area.
Educational Background
Anirudh Jayaraman holds a Bachelor of Technology (BTech) in Electronics and Electrical Engineering from the National Institute of Technology Warangal, which he completed from 2007 to 2011. He furthered his education by obtaining a Master’s Degree in Economics from the Indira Gandhi Institute of Development Research, studying there from 2015 to 2017. Additionally, he achieved the Financial Risk Manager (FRM) designation from the Global Association of Risk Professionals (GARP) in 2018.
Expertise in Risk Management
Anirudh Jayaraman possesses extensive expertise in econometrics, statistics, and quantitative finance, which are essential for his role in model risk management. His work focuses on risk quantification, where he leverages his quantitative finance skills to improve the accuracy and reliability of financial models. This specialization is crucial for his contributions to UBS's risk management strategies.