Machine Learning/Quant Researcher (Fintech)

TL;DR

Machine Learning/Quant Researcher (Fintech): Applying advanced analytical techniques to solve complex problems at the intersection of data science and financial markets with an accent on processing and analyzing vast datasets to extract actionable insights. Focus on building and implementing sophisticated trading strategies from the ground up and pushing the boundaries of automated trading.

Location: Montreal, Canada (Hybrid)

Salary: Up to $200,000 + Exceptional Bonus/Benefits Package

Company

An elite FinTech firm led by alumni from world-class institutions, focused on driving market-leading trading results through technology and mathematics.

What you will do

• Process and analyze vast, multi-petabyte datasets to extract actionable insights.
• Conduct signal research to identify alpha-generating opportunities.
• Build and implement sophisticated trading strategies from the ground up.
• Collaborate 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.
• Proficiency in Python, specifically within the ML ecosystem (PyTorch, TensorFlow).
• Applied research and analysis experience gained through internships in finance or a similar data-intensive field.
• Prior experience within the trading space is a distinct advantage.
• A deep-seated interest in machine learning and its application to quantitative research.

Culture & Benefits

• Exceptional mentorship from industry leaders from top-tier academic and professional backgrounds.
• Opportunity to solve mission-critical problems using massive datasets and cutting-edge ML models.
• Competitive base compensation with an exceptional bonus structure and comprehensive benefits.
• A collaborative, high-performance hybrid working environment.