Machine Learning Researcher – Quantitative Trading : PhD ML : Montreal

Hunter Bond; Montreal (administrative region); Hybrid; CAD 120,000 - 170,000; Full time

Job summary

A globally respected proprietary trading firm in Montreal is seeking a Machine Learning Researcher for a high-impact role. This opportunity involves building and deploying machine learning systems that influence trading decisions. Ideal candidates will have a PhD in a relevant field and over 3 years of experience in production environments. This role offers a hybrid work culture along with competitive pay and bonuses.

Qualifications

• 3+ years of hands-on experience building machine learning systems in production environments.
• Strong foundations in probability, statistics, and ML theory.
• Proven ability to write high-quality, maintainable, performance-oriented code.
• Experience with MLOps including deployment, monitoring and iteration.
• Publications in NeurIPS, ICML, ICLR or similar.

Responsibilities

• Designing and building scalable systems to train and serve machine learning models.
• Deploying machine learning systems that influence trading decisions.
• Collaborate with ML research group and trading desk across the lifecycle.
• Contribute to low-latency, production-grade ML deployments.

Skills

Machine Learning

Programming (Python, etc.)

Statistical Analysis

Publications in ML venues

GPU programming

Education

PhD in a quantitative or technical discipline

Tools

MLOps tools

CUDA

OpenCL

Job description

Machine Learning Researcher – Quantitative Trading : PhD ML : Montreal

We’re partnering with a globally respected proprietary trading firm to hire a Machine Learning Researcher for a high‑impact role embedded directly with a trading desk. This is an opportunity to work at the intersection of machine learning, quantitative research, and production‑grade engineering within a firm known for technical excellence and intellectual rigor.

The Opportunity

This role sits within a highly collaborative ML research group working closely with a live trading desk. You’ll be responsible for building and deploying machine learning systems that directly influence trading decisions. The work spans the entire lifecycle—from early research and experimentation through to low‑latency, production‑ready deployment.

What You’ll Be Doing

• Designing and building forfe scalable systems to train and serve machine learning models

OTICE\let sign>✅ aha<|comment>

What We’re Looking For

• Advanced degree (ideally PhD) in a quantitative or technical discipline such as Machine Learning, Computer Science, Mathematics, Physics
• 3+ years of hands‑on experience building machine learning systems in production environments
• Strong foundations in probability, statistics, and ML theory
• Proven ability to write high‑quality, maintainable, performance‑oriented code>Edit
• Experience with MLOps, including model deployment, monitoring, and iteration
• Publications in NeurIPS, ICLR, ICML etc.
• GPU programming experience (CUDA, OpenCL)

Location

Montreal, Quebec, Canada. Hybrid work culture, top pay and bonuses.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering, Research, and Finance

Industries

Technology, Information and Media, Engineering Services, and Financial Services