Jorge Berlanga
@jorgeberlanga
Quantitative Researcher and Data Scientist with expertise in Python, R, and statistical modeling.
What I'm looking for
As a Quantitative Researcher and Data Scientist at the Federal University of Rio de Janeiro, I specialize in stochastic processes and financial mathematics. My academic journey includes teaching probability, statistics, and data analysis, as well as mentoring students in advanced stochastic processes.
My technical proficiency spans programming languages like Python and R, along with libraries such as NumPy, Pandas, and TensorFlow. My research focuses on potential theory for discrete Markov chains, particularly in risk assessment, and I've developed mathematical models for asset pricing using the Heston Model.
I am fluent in Spanish, English, and Portuguese, which has facilitated my work on international projects and collaborations. My passion lies in creating innovative solutions for complex financial and data analysis challenges, driving advancements in quantitative finance and beyond.
Experience
Work history, roles, and key accomplishments
Professor
Federal University of Rio de Janeiro
Jan 2024 - Present (1 year 5 months)
Teaching Probability, Statistics, and Data Analysis to undergraduate students while mentoring them in advanced topics related to stochastic processes and data analysis.
Python Instructor
Federal University of Rio de Janeiro
Jan 2021 - Sep 2021 (8 months)
Trained over 100 students in programming fundamentals, data structures, and data analysis using Python, while developing course materials focused on quantitative finance and statistical applications.
Education
Degrees, certifications, and relevant coursework
Federal University of Rio de Janeiro
Master of Science, Statistics
2023 - 2025
Research focus on Potential Theory for Discrete Markov Chains, studying hitting probabilities, expected hitting times, and capacity in Markov processes with applications to risk assessment.
Federal University of Rio de Janeiro
Bachelor of Science, Applied Mathematics
2017 - 2022
Graduation thesis focused on Pricing Models with Stochastic Volatility, exploring mathematical models for asset pricing under stochastic conditions.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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