Data Engineer Jobs in New York
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Investment Risk AVP ABF
A leading Credit and Private Credit Asset Manager is currently hiring an AVP to join their Investment Risk team in New York or Los Angeles.This is a newly created position in a well-established risk and quant risk analytics team. The hiring manager is looking for a risk analyst to improve risk tooling, dashboards, analytics, and models related to a...
Trading Analyst
A leading global trading firm is seeking a Trading Analyst to join its global trading team and support live automated strategies across multiple asset classes. You will work at the intersection of markets and technology, analyzing trading outcomes, managing risk, and identifying opportunities to improve strategy performance, execution quality, and ...
Sub-Portfolio Manager Intraday Equity Statistical Arbitrage
Sub-Portfolio Manager - Intraday Equity Statistical ArbitrageWe are partnered with a leading quantitative trading platform that is looking to add a strong Sub-Portfolio Manager to their systematic equities business. This is a highly collaborative team where you will have the opportunity to set your research agenda and deliver on end-to-end research...
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Equity Quant Researcher NYC
Equity Quant Researcher - NYCWe're partnered working with a leading quantitative trading team that is looking to add a high potential quantitative researcher to their equities platform.The role will sit at the intersection of fundamental investing and quantitative research, leveraging alternative data, statistical analysis, and machine learning to ...
Data Analyst
Data Analyst | Quantitative Trading FirmOverviewJoin a leading quantitative trading firm where data, technology, and research drive business performance.Work with large-scale financial, market, vendor, and alternative datasets that support critical business and research functions.Partner with engineers, data professionals, and business stakeholders...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...