On Site 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...
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...
Lead Data Engineer
ResponsibilitiesLead the development of cloud-based data platforms, pipelines, and data products leveraging Python, SQL, Snowflake, and AWS.Build scalable solutions for a variety of data sources, including market, alternative, and enterprise datasets.Enhance the firm's data platform through APIs, automation, metadata management, and emerging AI-dri...
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Lead Data Engineer
ResponsibilitiesLead the development of cloud-based data platforms, pipelines, and data products leveraging Python, SQL, Snowflake, and AWS.Build scalable solutions for a variety of data sources, including market, alternative, and enterprise datasets.Enhance the firm's data platform through APIs, automation, metadata management, and emerging AI-dri...
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...
