Data Scientist

As a Data Scientist, you will be instrumental in supporting a high-throughput quantitative research platform and ensuring the seamless execution of live trading algorithms across diverse global asset classes, including equities, futures, and options.ResponsibilitiesDesign, build, test, and maintain robust ETL/ELT pipelines, microservices, and workflows for automated dataset ingestion.Clean, structure, aggregate, and engineer actionable signals/features from diverse financial and alternative datasets.Partner closely with quantitative research teams and external vendors to analyze dataset characteristics and address specialized data needs.Establish automated data quality frameworks, anomaly detection, and qualitative reporting mechanisms.Conduct preliminary data analysis and exploratory research to support new strategy development and quantitative workflows.QualificationsMaster’s degree preferred in Financial Engineering, Computer Science, Statistics, or a related quantitative/analytical field.Strong proficiency in Python and SQL for data manipulation and system building.Familiarity with Linux environments, modern cloud platforms (e.g., AWS), and workflow orchestration tools (e.g., Airflow) is a strong plus.Exposure to financial markets or quantitative investment data is preferred but not required.Excellent problem-solving skills with meticulous attention to detail and process execution.