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Develop and optimize machine learning and statistical models to predict liquid asset movements. Parse and analyze large datasets, implement academic research for alpha generation, and collaborate with Data, Alpha, and Strategy teams to design market-neutral trading strategies and run simulations to validate hypotheses.

The Senior Data Architect will design and lead the architecture of Trexquant's data ecosystem, ensuring unified access and efficiency by creating intuitive data solutions for researchers and simulators across various asset classes.

Design and maintain high-performance systems for algorithmic trading, optimizing data pipelines and collaborating with researchers and traders to enhance trading systems.

Lead the design and development of trading, research, and simulation systems. Collaborate with teams to optimize performance and scalability of infrastructure.

Build and scale analytics, market data, backtesting, risk, PnL, and tooling infrastructure for multi-asset systematic trading. Productionize research models, optimize performance, and deliver researcher/trader-facing GUIs and visualization tools.

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