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Jorge Berlanga

@jorgeberlanga

Quantitative Researcher and Data Scientist with expertise in Python, R, and statistical modeling.

Brazil

What I'm looking for

Seeking roles in quantitative research and data science focusing on innovative solutions in finance and data analysis, with opportunities for professional growth and intellectual challenge.

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

Federal University of Rio de Janeiro logoFJ

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 logoFJ

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 logoFJ

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

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