Prolibu | Proposal Software
Ivan Prieto has a strong background in finance, with a focus on corporate finance and investment analysis. Ivan currently serves as the Chief Financial Officer at Prolibu, a position they have held since April 2021. Prior to this role, Ivan worked at Ecopetrol for eight years, starting in December 2013. During their time at Ecopetrol, they held various positions, including Corporate Finance Professional and Treasury Professional.
Before joining Ecopetrol, Ivan worked at BBVA Horizonte, where they held multiple roles. From December 2010 to July 2012, they served as an Equity Trader, managing a significant local-equity portfolio and implementing investment strategies. Prior to this, they worked as an Investment Analyst and Intern, gaining experience in securities and currencies trading, trade settlement, and regulatory compliance.
Throughout their career, Ivan has demonstrated expertise in financial evaluation, investment management, and risk assessment. Ivan has a proven track record of achieving strong investment performance and has worked closely with company management to identify new opportunities. Ivan's experience spans over a decade, making him a highly skilled and knowledgeable finance professional.
Ivan Prieto has a solid education background. Ivan obtained their Bachelor of Arts degree in Economics from Universidad de Los Andes, which they pursued from 2005 to 2009. Afterward, they enrolled in a Financial Modeling Course at the same university for a brief period in 2011. In 2012, Ivan furthered their education by pursuing a Master of Science degree in Finance and Investments from Durham University, completed in 2013.
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Prolibu | Proposal Software
Prolibu® is a Smart Proposal Engine (SPE), that allows you to:- Automate the creation of impactful and brand standardized commercial proposals.- Interact in real time with clients when they are studying the proposal.- Predict the clients’ real purchase interest based on their interaction with the commercial proposal.- Analyze commercialproposal historical data and discover relevant indices.