Data Engineer - Credit
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The role
Join a Global Data Engineering team in New York City focused on supporting the Credit Trading desk and ETF/portfolio strategies.
Build data solutions that fuel real-time trading and long-term research across the full data lifecycle.
Create analytics frameworks to research trade-offs between returns, flow, and risk.
Quantify market drivers with Quant Researchers and the Global Market Data team to support risk-taking and decision making.
Model and normalize complex financial datasets to ensure they are clean, structured, and accessible for research and production systems.
Own data reliability and the associated APIs, monitor data quality, and collaborate with researchers and engineers to deliver scalable, robust solutions.
Build data solutions that fuel real-time trading and long-term research across the full data lifecycle.
Create analytics frameworks to research trade-offs between returns, flow, and risk.
Quantify market drivers with Quant Researchers and the Global Market Data team to support risk-taking and decision making.
Model and normalize complex financial datasets to ensure they are clean, structured, and accessible for research and production systems.
Own data reliability and the associated APIs, monitor data quality, and collaborate with researchers and engineers to deliver scalable, robust solutions.
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