Quantitative Developer
Core
Build data pipelines, ETL processes, and storage solutions to analyze large datasets and support investment decisions.
Role type
Quantitative Developer (Data Engineering & Analytics)
Builds
Data pipelines, ETL processes, and data storage solutions
Domain
Finance / Quantitative Analysis
Deliverable
production ML models
Required skills
SQL, Python, Java, Scala, PostgreSQL, Oracle, MS SQL Server, Data Engineering, Data Analysis
Preferred skills
ETL Support
Technologies
Java, Oracle, PostgreSQL, Python, SQL, Scala
Responsibilities
Analyze large datasets to uncover trends and insights that can support investment decisions; Work with investment, finance, and investor relations teams to understand their data requirements and build appropriate solutions; Maintain data quality, accuracy, and consistency across data sources and applications; Design, develop, and maintain data pipelines, ETL processes, and data storage solutions; Improve processes and systems to increase efficiency and effectiveness