Design and build a robust in-house data warehouse using data from existing investments and third-party data warehouses, ensuring scalability, performance, and reliability
Job Summary
Design and build a robust in-house data warehouse using data from existing investments and third-party data warehouses, ensuring scalability, performance, and reliability.
Establish protocols for data consistency, quality, and security, and implement best practices for data governance and compliance.
Develop pipelines to support sophisticated analytical models, visualizations, and business intelligence tools, collaborating with investment teams to meet analytical requirements.
Matching Summary
Design and build a robust in-house data warehouse using data from existing investments and third-party data warehouses, ensuring scalability, performance, and reliability.
Skills & Requirements
Must-have
Design and build data warehouse
Data governance and security protocols
Enable advanced analytics and reporting
Leverage quantitative and analytical techniques
Develop in-house data capabilities
Nice-to-have
Passion for solving complex problems
Drive long-term technical initiatives
Teamwork, proactive, results-oriented
Key Requirements
Strong programming skills
Experience with database technologies (SQL, Snowflake, Spark)
Understanding of data modeling and architecture
Experience in bank loans, fixed-income, CLOs, derivatives, ABS, CMBS