João Leripio
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João Renato Leripio

Data, Modeling & Research Engineering

+55 (21) 97956-9090

joao@rleripio.com

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Profile

Quantitative researcher specializing in statistical modeling, forecasting, data products, and research engineering.

Experienced in building end-to-end analytical workflows that transform raw data into models, analytical tools, and production-ready research outputs.

Professional Experience

Kapitalo Investimentos

Data Science & Economic Modeling Lead

São Paulo, Brazil · 2022 - Present

  • Lead the Data Science and Modeling team within the Macroeconomic Research department, providing technical leadership and advancing the use of modern data and analytical technologies across research workflows.
  • Develop quantitative models and forecasting systems for macroeconomic analysis.
  • Build and maintain production analytical infrastructure, including data pipelines, automated reporting, and internal research applications.

Itaú Asset Management

Quantitative Research Analyst

São Paulo, Brazil · 2019 - 2022

  • Developed quantitative models and forecasting tools for macroeconomic and financial analysis.
  • Integrated alternative datasets into investment research workflows.

IPEDF

Economic Research Analyst

Brasília, Brazil · 2017 - 2019

  • Conducted regional economic analysis and monitoring of economic activity indicators.
  • Produced reports and studies supporting public policy discussions and decision-making.
  • Developed statistical indicators and analytical tools for economic assessment.

Education

M.S. in Economics, Universidade Federal Fluminense · 2017
B.S. in Economics, Universidade Federal Fluminense · 2013

Publications

Author of R for Economic Research, a practical guide to data analysis, statistical modeling, and forecasting for applied research.

Selected Presentations

  • Nowcasting when predictors keep changing. Leveraging cross-sectional information in high-dimensional, high-turnover data - International Symposium on Forecasting · Montreal · 2026

  • Nowcasting Inflation in Brazil Using Web Data - International Symposium on Forecasting · Charlottesville · 2023

  • Real-time Forecasting COVID-19 Cases Applied to US Regions - International Symposium on Forecasting · Remote · 2020

 

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