We are looking for a highly analytical and intellectually curious Quantitative Researcher to join our remote team. This role involves designing and executing data-driven research to inform models, strategies, and decisions across finance, technology, or business applications. The ideal candidate thrives in a fast-paced environment and is passionate about solving complex problems through data.
Key Responsibilities:
Develop and apply statistical models and quantitative methodologies to analyze large datasets
Design experiments and data studies to test hypotheses and support strategic initiatives
Interpret data results and communicate findings clearly to technical and non-technical stakeholders
Collaborate with data engineers, product teams, and domain experts to refine models and improve data quality
Contribute to the development of research frameworks and automated tools for ongoing analysis
Stay current with the latest techniques in statistics, machine learning, and quantitative finance (as applicable)
Requirements:
Bachelors or Masters degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics, Economics)
Strong programming skills in Python, R, or MATLAB; experience with SQL and data manipulation
Solid understanding of statistical techniques, hypothesis testing, and model validation
Experience working with large and complex datasets
Excellent problem-solving and communication skills
Ability to work independently in a remote, research-focused role.
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