
Contact
- +44 (0)20 7040 5060
- [email protected]
- [email protected]
Postal address
106 Bunhill Row
London
EC1Y 8TZ
United Kingdom
About
Overview
Francisco Ibanez serves as a Quantitative Researcher on Bloomberg's Portfolio & Index Research team. Mr. Ibanez previously was a Quantitative Researcher on Credit Suisse's Quantitative Investment Strategies group (QIS) and later on the Commodities Portfolio Management Team, from 2018 through 2022. Prior to joining Credit Suisse, he spent four years in the Financial Markets Division of the Central Bank of Chile, where he conducted research in FX Reserves Management and Open Market Operations. He began his career in 2012 as Fixed Income Trader at AFP Capital Pension Fund in Chile. Mr. Ibanez earned a B.A. In Economics and a M.S. In Finance from Adolfo Ibáñez University. He also holds a Master in Financial Engineering from the University of California, Los Angeles, and is currently working towards a Ph.D. in Finance at the University of London, City, focusing his research on quantitative portfolio construction and financial machine learning.
Qualifications
- Master of Financial Engineering, University of California, Los Angeles, United States
Employment
- Quantitative Researcher, Bloomberg (United States), Dec 2022 – present
Languages
English (can read, write, speak, understand spoken and peer review) and Spanish - Latin American (can read, write, speak, understand spoken and peer review).
Expertise
Primary topics
- Asset Pricing
- Mathematical & Quantitative Methods
- Portfolio Choice
- Quantitative Finance
Publications
Journal article
- Ibanez, F.A. (2023). Diversified Spectral Portfolios: An Unsupervised Learning Approach to Diversification. The Journal of Financial Data Science, 5(2), pp. 67–83. doi:10.3905/jfds.2023.1.118.