Zebulnessa Rahimi
About Zebulnessa Rahimi
Zebulnessa Rahimi is an Associate Principal Analyst specializing in Risk Monitoring at FINRA, where she has worked since 2020. She has a strong background in compliance and operations, with previous roles at FINRA and Citi, and holds a J.D. from the Elisabeth Haub School of Law.
Current Role at FINRA
Zebulnessa Rahimi currently serves as an Associate Principal Analyst in Risk Monitoring at FINRA. She has held this position since 2020, contributing to the organization's efforts in risk assessment and management. Her role involves analyzing complex data and evaluating risks associated with financial operations, ensuring compliance with regulatory standards.
Previous Experience at FINRA
Prior to her current role, Zebulnessa Rahimi worked at FINRA as an Associate Principal Analyst from 2016 to 2020. Before that, she served as a Senior Compliance Analyst for one year from 2015 to 2016. During her time at FINRA, she developed a strong understanding of regulatory compliance and risk management practices.
Experience at Citi
Zebulnessa Rahimi worked at Citi as a Fixed Income Derivatives Operations Senior Analyst from 2005 to 2011. This six-year tenure in the Greater New York City Area allowed her to gain extensive experience in financial operations and derivatives. Her background includes training others on skills acquired during her time at Citigroup.
Educational Background
Zebulnessa Rahimi earned her Doctor of Law (J.D.) degree from the Elisabeth Haub School of Law at Pace University, where she studied International Law and Legal Studies from 2012 to 2013. She also holds a Bachelor of Business Administration (BBA) in Operations Management from Baruch College, which she completed from 2000 to 2004.
Skills and Expertise
Zebulnessa Rahimi possesses sound product knowledge of Interest Rate Derivatives and demonstrates strong analytical and technical skills. She is capable of evaluating problems and taking appropriate actions promptly, showcasing her ability to navigate complex financial scenarios effectively.