Permanent Algorithmic Trading Jobs
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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...
Trading Strategy and Performance Lead
A global options market maker is looking for an experienced options trader who is interested in taking on projects with a broader scope. The candidate will collaborate directly with senior leadership to shape how the firm develops, evaluates, and elevates its trading talent across the desks. The role connects the trading floor with firm-wide strate...
Trade Execution Software Engineer
A leading hedge fund is seeking an experienced Software Engineer to join a team responsible for building and enhancing the technology that supports electronic trading, order routing, and execution workflows across global markets.This group develops highly performant distributed systems that sit at the center of the trading lifecycle, partnering clo...
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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...
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...