Experience

  1. Senior Associate, GRC Department

    PricewaterhouseCoopers (PwC)
    • Audit accounting systems and functional flows in payment companies.
    • Review compliance under the EU Taxonomy and GDPR.
    • Recalculate regulatory templates for financial institutions.
    • Audit and consult on Pillar 3 disclosures (IRP) for large financial institutions.
  2. Research Assistant

    IESE Business School
    • Analyze HMDA mortgage databases (over 100 million records).
    • Review literature on banking, financial markets, and real estate.
  3. Head of Banking

    Koban (Fintech)
    • Lead development of the mobile app and payment solution.
    • Design credit and payment products, including origination and collection policies.
    • Build credit scoring models using machine learning.
  4. Product Manager

    Banco Ganadero S.A.
    • Redesign retail credit process, reducing origination times.
    • Develop mobile credit channel for unsecured loans.
    • Implement machine learning models for origination and portfolio monitoring.
  5. Global Risk Analyst

    Banco Ganadero S.A.
    • Develop stress tests and macroeconomic scenarios.
    • Monitor CAMEL ratios and bank balance sheets.
    • Prepare sectoral analyses for the Board.

Education

  1. Master's in Banking and Financial Regulation

    University of Navarra

    Relevant courses:

    • Financial Regulation
    • Corporate Finance
    • Monetary Economics
  2. Master's in Economics and Finance

    University of Navarra

    Relevant courses:

    • Macroeconometrics
    • Microeconometrics
    • Financial Econometrics
  3. Bachelor's in Economics

    Universidad Autónoma Gabriel René Moreno (UAGRM)

    Graduated with Academic Excellence.
    Relevant courses:

    • Statistics
    • Econometrics
    • Time Series
Habilidades
Tools and Languages
R
Python
SQL
Eviews, Stata, Matlab
Professional Competencies
Financial Regulation
Risk Management
Machine Learning
Product Development
Certificaciones
Data Analyst with Python Track
DataCamp ∙ November 2023
This DataCamp track teaches you how to analyze data using Python, covering everything from data manipulation with pandas to visualization and statistical analysis, enabling the development of practical data science skills.
REST APIs with Flask and Python
Udemy ∙ December 2022
This Udemy course teaches you how to build RESTful APIs using Flask and Python, covering everything from creating endpoints to implementing authentication and authorization, allowing for the development of robust and scalable web applications.
R Programming Track
DataCamp ∙ July 2021
This DataCamp track teaches you how to program in R, covering everything from the fundamentals of the language to object-oriented programming with S3 and R6.
Machine Learning with Python
MITx ∙ September 2019
This MITx course teaches you the fundamentals of machine learning, including linear regression, logistic regression, decision trees, and neural networks, with an emphasis on understanding the algorithms and the computational methods required to implement them.