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The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

Responsible for managing the full recruitment lifecycle to attract top talent in quantitative finance and technology roles, collaborating with hiring managers, and ensuring a positive candidate experience.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

As a Quantitative Researcher, you'll develop trading algorithms, analyze financial data, create predictive models, and collaborate within a research team.

As a Quantitative Researcher, you will develop quantitative models, implement machine learning strategies, and collaborate on monetary trading algorithms.

The AI Engineer will develop and deploy AI systems, work with LLMs and large datasets, and partner with quant researchers to optimize investment strategies.

As a Quantitative Researcher, you will design and optimize machine learning models to predict asset movements, collaborate on experiments, and implement cutting-edge research.

As a Quantitative Researcher, you will design and optimize machine learning models, analyze large datasets, collaborate on predictive modeling, and innovate trading strategies.

Design, build, and maintain scalable ingestion, normalization, validation, storage, and lifecycle management of large-scale market and alternative datasets. Develop Python- and SQL-based pipelines, monitoring, and tooling to ensure research-ready, high-quality data across multiple asset classes while collaborating with researchers and infrastructure teams.

The Data Operations Engineer will monitor and optimize trading processes, enhance integration and deployment pipelines, ensure quality control, and lead continuous improvement initiatives while documenting and reporting on production performance.