
Jorge Erick Aguilera Aquino
@jorgeerickaguileraaq
MSc Computational Finance. 2+ years experience building Marketing Mix Models at Nielsen. BSc Actuarial Science. Interested in Finance,Risks,Statistics
What I'm looking for
At Nielsen Media, I built and validated Marketing Mix Models for Kellogg, Johnson & Johnson, and L’Oréal to measure the impact of marketing investments. I also developed regression-based revenue and marketing effectiveness forecasts and automated data quality processes.
At Università degli Studi di Padova, I’m studying Computational Finance and implementing volatility models for my thesis on volatility surface analysis. My academic projects include copula-based portfolio CVaR estimation and Monte Carlo pricing of Asian options.
I am interested in quantitative finance, risk management, derivatives, and data science, with strong foundations in actuarial mathematics, Python, and statistical modeling.
Experience
Work history, roles, and key accomplishments
Built and validated Marketing Mix Models for clients such as Kellogg, Johnson & Johnson, and L'Oréal to measure the impact of marketing investments. Developed regression-based forecasting models to predict revenue and marketing effectiveness, and automated data quality processes across large marketing datasets. Analyzed market dynamics and presented findings to internal teams.
Administrative Assistant (Internship)
Accurate Media
May 2020 - Aug 2020 (3 months)
Developed the project 'Management Analysis and Optimization of Human Resources'.
Education
Degrees, certifications, and relevant coursework
Università degli Studi di Padova
MSc, Computational Finance
2024 -
Pursuing an MSc in Computational Finance with coursework in stochastic finance, quantitative risk management, and machine learning for finance. Thesis focuses on volatility surface analysis using Heston, Bates, and rough volatility models.
Universidad de las Américas Puebla
BSc, Actuarial Science
2017 - 2021
Grade: Magna Cum Laude
Completed a BSc in Actuarial Science with Magna Cum Laude honors, covering statistical modeling, risk measurement, and financial instrument valuation.
Udemy
Python for Finance: Investment Fundamentals & Data Analytics, Finance
2021 - 2021
Completed the certification 'Python for Finance: Investment Fundamentals & Data Analytics' in 2021.
Tech stack
Software and tools used professionally
Availability
Location
Salary expectations
Social media
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