Permanent Algorithmic Trading Jobs in New York
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Systematic ETF Trader
Systematic ETF TraderOverviewWe are seeking a talented and driven Systematic ETF Trader to join a high-performing trading team focused on developing and executing quantitative trading strategies across global ETF markets. This role combines systematic trading, quantitative research, and technology to identify market opportunities, build scalable tr...
Fraud Data Scientist
Title: Fraud Data Scientist Compensation: $140k - $165k base + bonus Company Summary: A leading consulting firm is seeking a Fraud Analytics Senior Associate/Data Scientist to help clients across financial services, fintech, and payments strengthen fraud detection capabilities. The role combines fraud strategy, machine learning, and advanced analyt...
Quant Developer
A fast-growing proprietary trading firm is seeking a Quantitative Developer to help build and scale the next generation of its systematic trading platform. This role sits at the intersection of quantitative research, production engineering, and live trading, offering direct exposure to portfolio managers, researchers, and automated trading strategi...
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C++ Software Enginner, Systematic Delta One Strategy Development
A leading quantitative trading firm is seeking a Senior C++ Software Engineer to join its Systematic Delta One trading business in New York City.This is a highly visible front-office role focused on building and enhancing automated trading systems across equities and futures markets. You'll sit directly alongside traders and quantitative researche...
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...