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.

Responsibilities

• Design, 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.

Qualifications

• Master'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.