Eve Soto
About Eve Soto
Eve Soto is a member of the Financial Investigative Team at the U.S. Securities and Exchange Commission, where she has worked since 2015. She specializes in data-driven financial analysis and has experience in presenting fiscal reports and developing financial procedures.
Work at U.S. Securities and Exchange Commission
Eve Soto has been a member of the Financial Investigative Team at the U.S. Securities and Exchange Commission (SEC) since 2015. In this role, she specializes in performing large-scale data-driven analysis and research in various financial fields, including trading, equities, exchange-traded products, options, fixed income, and swaps. Soto is responsible for presenting fiscal reports to senior management and writing financial procedures. Her work involves utilizing advanced financial investigative software systems to process and reconcile financial statements and payment documents submitted to the SEC.
Previous Work Experience
Before joining the SEC, Eve Soto held several positions that contributed to her expertise in financial analysis. She worked as an Account Representative II at EHS from 2008 to 2009. Later, she served as a Senior Billing and Financial Analyst Contractor at K12 from 2013 to 2014. In these roles, she gained experience in financial reporting and analysis, which laid the foundation for her current responsibilities at the SEC.
Education and Expertise
Eve Soto studied at The University of Alabama, where she earned a Bachelor of Science degree in Accounting and Finance. Her educational background has equipped her with a strong foundation in financial principles and practices. Soto has developed expertise in applying data-driven approaches to detect potential financial fraud, utilizing various analytical techniques such as statistical, trending, horizontal, vertical, and ratio analysis.
Technical Skills and Tools
Eve Soto is proficient in using financial investigative software systems, including Palantir and PenLink Big Data analytics. She has experience in processing numerous financial and phone records, which aids in identifying suspect financial transactions. Soto has also developed Excel macros to detect scanning errors in converting paper documents to electronic formats, focusing on financial threshold calculations to identify outliers and mismatches.