Trexquant is a leading quantitative finance firm specializing in the development of multi-asset portfolios through advanced machine learning methods. The firm continuously enhances its investment and research platform, utilizing a vast array of data variables to create complex trading models and strategies. These models generate trading signals aimed at outperforming market conditions globally.
Open Positions
Lead Trading Systems Engineer (USA)
Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field; 6+ years of experience building high-performance trading, simulation, or research infrastructure; Expert-level proficiency in one of these programming languages: C++, Java, or Python
Global Alpha Trader (GLOBAL)
Bachelor's degree in Math, Engineering, Statistical Modeling, Computer Science or related field, 1+ year of systematic trading experience, strong quantitative skills
Data Operations Engineer (USA)
Bachelor's degree in Computer Science, Engineering or a related field. 2-3 years of experience working with Python and Linux
Head of Systematic ETF Strategy Team (USA)
5+ years of experience researching and trading quantitative ETF-based strategies, proven leadership experience managing quantitative research teams, strong quantitative, analytical, and problem-solving skills
Quantitative Researcher - Early Career (USA)
BS/MS/PhD degree in any stem field, passion for machine learning, and fluency with Python programming language
AI Engineer (INDIA)
Minimum 2 years of experience with LLMs, AI or deep learning; experience with large-scale datasets and deploying machine learning models in production; knowledge of modern NLP techniques and frameworks
Talent Acquisition Partner (CHINA)
Bachelor's degree or higher, 3+ years of work experience, effective sourcing strategies, and proficiency in English
Quantitative Researcher - Volatility (USA)
BS/MS/PhD degree in a STEM field, 5+ years of experience in quantitative research, proficiency in Python and statistical modeling
AI Engineer (CHINA)
2+ years of experience in AI/LLMs, knowledge of NLP and machine learning platforms, and excellent problem-solving skills
Quantitative Researcher Intern -Summer 2026 year (CHINA)
Class of 2027 fresh graduates, passion for machine learning and quantitative finance, proficient in Python
+46 More Jobs Available!
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