Quantitative Researcher

Quantique - Machine, Math & Mind; São Paulo; Presencial; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Quantique – Machine, Math & Mind is seeking a Quantitative Researcher to develop, test, and refine quantitative models for investment strategies across Brazilian and global markets. On-site in São Paulo, you will design mathematical frameworks, analyze large data sets, and evaluate model performance in collaboration with portfolio managers and researchers.

You will document methodologies, maintain research libraries, and stay current with advances in quantitative finance and machine learning to

Qualificações

• Strong foundation in statistics and mathematics applied to financial data.
• Experience in quantitative research and investing, including model development and backtesting.
• Proficiency in Python, R, or MATLAB and data analysis libraries.
• Bachelor’s or higher degree in a quantitative field.
• Knowledge of financial markets and Brazilian markets is a plus.

Responsabilidades

• Design and implement statistical and mathematical frameworks for investment strategies.
• Analyze large datasets and evaluate model performance and risk.
• Collaborate with portfolio managers and researchers to translate insights into strategies.
• Document methodologies and maintain research libraries.

Conhecimentos

Statistics

Mathematics

Quantitative Research

Backtesting

Data Analysis

Communication

Formação académica

Bachelor’s or higher degree in quantitative discipline

Ferramentas

Python

R

MATLAB

Descrição da oferta de emprego

Company Description

Quantique – Machine, Math & Mind is an investment management firm specialized in quantitative strategies, with deep expertise in both Brazilian and global markets. The firm combines data-driven models, rigorous mathematical and statistical methods, and human insight to identify opportunities and construct diversified, optimal portfolios. Quantique offers a robust infrastructure designed to support innovative and continuously evolving quantitative models. The team values accessibility, clear communication, and transparency, fostering an environment where ideas can be tested and implemented efficiently. Interested professionals can learn more or reach out at [e-mail].

Role Description

The Quantitative Researcher will work on-site in São Paulo, SP in a full-time capacity, developing, testing, and refining quantitative models for investment strategies across Brazilian and global markets. Day-to-day responsibilities include designing and implementing statistical and mathematical frameworks, analyzing large datasets, and evaluating model performance and risk. The role involves close collaboration with portfolio managers and other researchers to translate research insights into actionable strategies and improve existing processes. The Quantitative Researcher will also document methodologies, maintain research libraries and tools, and stay current with academic and industry advances in quantitative finance and related fields.

Qualifications

• Strong foundation in Statistics and Mathematics, with the ability to apply quantitative methods to financial data and complex problem-solving.
• Experience in Quantitative Research and Quantitative Investing, including model development, backtesting, and performance analysis.
• Advanced Analytical Skills, with proficiency in interpreting data, identifying patterns, and drawing evidence-based conclusions.
• Proficiency in programming languages commonly used in quantitative finance (such as Python, R, or MATLAB) and familiarity with data analysis libraries and tools.
• Bachelor’s or higher degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Physics, or related field.
• Knowledge of financial markets, instruments, and portfolio construction concepts; experience with Brazilian markets is an advantage.
• Ability to work collaboratively in a research-oriented environment, communicate complex ideas clearly, and document work rigorously.
• Self-directed, curious mindset with a commitment to continuous learning and staying current with quantitative finance and machine learning developments.