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An elite FinTech firm is looking for the top 1% of technologists to join a premier quant fund. The firm is led by alumni from world-class institutions such as Stanford, MIT, and Princeton, with backgrounds at prestigious firms like Optiver and Tower Research. This is a rare opportunity for a PhD graduate to join a high-caliber team where technology and mathematics drive market-leading trading results.
Job Responsibility
Processing and analyzing vast, multi-petabyte datasets to extract actionable insights
Conducting signal research to identify alpha-generating opportunities
Building and implementing sophisticated trading strategies from the ground up
Collaborating with a world-class team of researchers and engineers to push the boundaries of automated trading
Requirements
Education: Recently completed a PhD in Computer Science, Mathematics, Statistics, Physics, or a related STEM field
Technical Skills: Proficiency in Python, specifically within the ML ecosystem (PyTorch, TensorFlow)
Research Experience: Applied research and analysis experience gained through internships in finance or a similar data-intensive field
Domain Knowledge: Prior experience within the trading space is a distinct advantage
Interest: A deep-seated interest in machine learning and its application to quantitative research
What we offer
Exceptional Bonus/Benefits Package
Exceptional Mentorship: Work directly with industry leaders from top-tier academic and professional backgrounds
Technical Challenge: Solve mission-critical problems using massive datasets and cutting-edge ML models
Competitive Rewards: High base compensation with an exceptional bonus structure and comprehensive benefits
Modern Culture: A collaborative, high-performance environment based in Montreal with hybrid working flexibility