Data Engineer - Analyst, Risk & Quant Analytics
Core
Design and implement scalable data pipelines and storage solutions to support hedge fund data operations, ensuring data quality, security, and timely delivery to investment and trading teams.
Role type
Senior Data Engineer (Financial Services)
Builds
Internal and external data pipelines, storage solutions, and automated data quality monitoring systems
Domain
Hedge fund / Asset management / Financial data infrastructure
Deliverable
production ML models
Required skills
Python, Java or C#, AWS (S3), Apache Airflow, Parquet, Apache Iceberg, PostgreSQL, OLTP/OLAP architecture, distributed computing concepts
Preferred skills
KDB+, StarRocks, real-time streaming data processing, market microstructure data, alpha feature libraries, quantitative research datasets
Technologies
AWS, Apache Airflow, Parquet, Apache Iceberg, PostgreSQL, Apache Spark, Apache Kafka, KDB+, StarRocks
Responsibilities
Engage with data vendors and design data pipelines; Ensure data pipeline and storage solutions are performant and scalable; Implement automated data quality checks and alert systems; Provide access control and usage audit solutions; Research and evaluate new data technologies; Collaborate with investment and trading teams to deliver data access.
Seniority
Mid-Senior, hands-on IC
