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Design and build AI-assisted research pipelines and agentic workflows to generate features, predictive signals, and systematic trading strategies. Prototype and validate strategies, integrate AI coding agents into quant workflows, and partner with researchers and PMs to productionize validated alphas.

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

The role involves establishing Trexquant's Boston office by executing hiring strategies, coordinating office buildout, and representing the company in the local market.

Lead the development of FX trading strategies, integrate FX as an asset class, build a team, and optimize execution and risk controls.

Lead a team of researchers to develop and implement systematic ETF strategies, optimize performance, and align with firm-wide investment strategies.

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.

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

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

As an Early Career Software Engineer, you will develop low-latency trading systems, optimize data pipelines, and collaborate with teams to enhance trading performance.