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ResponsibilitiesDesign, implement, and refine a variety of machine learning models aimed at predicting liquid assets using extensive financial data and a comprehensive library of trading signals. Analyze and process large datasets to uncover actionable alpha signals and devise systematic trading strategies. Explore and apply state-of-the-art academic research in quantitative finance. Continuously innovate and enhance existing models by incorporating new data sources and advanced methodologies to improve performance and scalability. Collaborate closely with a team of seasoned quantitative researchers to conduct experiments, backtest theories, and refine strategies through rigorous simulations and data analysis. RequirementsBS, MS, or PhD in a STEM discipline. A minimum of 3 years in a systematic trading environment, ideally with a proven live trading track record. Strong passion for machine learning. Proficient in programming languages, particularly Python. Excellent problem-solving abilities. Ability to thrive both independently and as part of a collaborative team. Strong English communication skills for effective professional engagement.
About the job
Join Trexquant, a pioneering systematic hedge fund that leverages thousands of statistical algorithms to trade across equity, futures, and various global markets. Our team utilizes extensive datasets to create comprehensive feature sets and employ cutting-edge machine learning techniques to identify trading signals, seamlessly integrating them into market-neutral portfolios. We seek talented data scientists, physicists, engineers, economists, and programmers dedicated to crafting the next wave of machine learning strategies for accurately forecasting the future movements of fluid financial assets.
As a Quantitative Researcher, you will play a crucial role in creating market-neutral signals, analyzing vast datasets, and collaborating with our Data and Strategy Research team to develop a diverse array of predictive models. While we welcome expertise across asset classes, our current focus is on equities, futures, commodities, and event-driven research.
About Trexquant
Trexquant is at the forefront of systematic trading, leveraging advanced algorithms and machine learning to optimize the trading of diverse financial assets globally. Our team is dedicated to innovation and excellence in the finance sector.
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