Machine Learning / Data Science Engineer – Recommendation Systems

We are seeking an ML/Data Science Engineer in Montreal to design and deploy advanced recommendation systems for a structured products platform. This strategic role is essential to building intelligent capabilities that deliver personalized product suggestions based on client portfolio analysis and similar product identification.

Responsibilities

• Design, build, and deploy ML-powered recommendation engines for structured financial products
• Develop algorithms for client portfolio analysis, product similarity, and personalized suggestions
• Build and maintain ML pipelines from feature engineering through model training, evaluation, and deployment
• Collaborate with product, engineering, and quantitative teams to integrate recommendations into platform workflows
• Conduct A/B testing and model performance monitoring to continuously improve recommendation quality
• Apply responsible AI practices and ensure model transparency and explainability

Requirements

• 4+ years of experience in data science, machine learning, or quantitative engineering
• Strong experience with recommendation systems and product similarity algorithms
• Proficiency in Python and ML frameworks
• Knowledge of structured products, derivatives, or capital markets is highly preferred
• Familiarity with cloud ML platforms and MLOps best practices