Latest ML Engineering jobs at Trexquant

Early-career Quantitative Researcher developing ML models and trading signals to predict asset movements and build market-neutral portfolios. Requires STEM degree, Python fluency, and passion for machine learning; embedded in Alpha, Data Science, or Strategy teams.

Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.

Develops machine-learning models and systematic trading strategies by analyzing large financial datasets, researching alpha signals, and backtesting hypotheses. Requires a STEM degree, 3+ years in systematic trading, Python proficiency, and strong English communication skills.

Develops, deploys, and optimizes production AI systems using LLMs, NLP, and machine learning tools for quant research and market applications. Requires at least two years of hands-on AI or deep learning experience and familiarity with production model deployment.