Machine Learning/Quant Researcher

Hunter Bond; Montreal (administrative region); Hybrid; CAD 180,000 - 200,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive bonus structure

Job summary

Elite FinTech Firm in Montreal is seeking a Machine Learning/Quant Researcher to join a premier quant fund. PhD graduates with strong ML and data skills are invited to apply.

You will work on large-scale datasets, develop signal research, and build trading strategies within a collaborative, hybrid work environment.

Qualifications

• PhD in Computer Science, Mathematics, Statistics, Physics or related STEM field is required.
• Strong Python skills with ML libraries (PyTorch, TensorFlow).
• Internships or work experience in finance or data-intensive fields.
• Prior trading experience is a plus.
• Deep interest in applying ML to quantitative research.

Responsibilities

• Process and analyze vast multi-petabyte datasets to extract actionable insights.
• Conduct signal research to identify alpha-generating opportunities.
• Design and implement sophisticated trading strategies.
• Collaborate with a world-class team of researchers and engineers on automated trading.

Job description

Role:Machine Learning/Quant Researcher

Client: Elite FinTech Firm

Compensation: Up to $200k + Exceptional Bonus/Benefits Package

Location: Montreal (Hybrid)

Overview

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.

The Role

As a Machine Learning/Quant Researcher, you will apply advanced analytical techniques to solve complex problems at the intersection of data science and financial markets.

Key responsibilities include:

• 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’s on Offer

• 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.

If you are a PhD graduate looking to launch a career in quantitative research at a top-tier fund, please apply with an up-to-date CV to be considered.