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Senior Quant Data Engineer
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- The Asset Management Quant Research Engineering team is looking for a Senior Data Engineer who wishes to take on the challenge of building a world-class data operation.
- Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake
- Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT
- Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.
- Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
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