Source description
About the role
Partner closely with quantitative researchers to identify, evaluate, and acquire new datasets relevant to trading and market research initiatives.
Design, build, and maintain reliable Python-based data pipelines for collecting, cleaning, transforming, and storing research data.
Develop automated workflows and processes to support systematic trading research and strategy development.
Create analytical frameworks and tooling to process large datasets and generate statistical insights.
Build and maintain research databases, data models, and data quality monitoring processes.
Perform exploratory data analysis and statistical investigations to support alpha generation and hypothesis testing.
Collaborate with researchers to operationalize research methodologies into repeatable analytical workflows.
Manage data infrastructure running on cloud or dedicated server environments, ensuring stability, reliability, and performance.
Document data sources, pipeline architecture, methodologies, and analytical processes to support knowledge sharing and reproducibility.
Stay current on emerging data sources, technologies, and quantitative research techniques relevant to financial markets and options trading.
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