Transform risk analytics as a Decision Science AI Engineer at BMO, utilizing AI and machine learning to create intelligent systems. Collaborate on cutting-edge AI initiatives. BMO is looking for an AI Engineer to join its Decision Science team, focusing on employing advanced analytics for risk assessments.

With a solid background in AI technologies and hands-on experience, you will improve operational efficiencies in credit risk and fraud detection through model development and advanced decision-making frameworks. Your work will be crucial in applying large language models to automate processes. Key Responsibilities:

- Develop AI frameworks for automated decisioning
- Analyze complex datasets with advanced ML techniques
- Create sentiment and behavioral analysis models
- Implement agentic AI workflows and tools
- Maintain documentation for model governance and audits

Requirements:

- Master’s degree in a quantitative discipline
- 3+ years in AI/ML within risk environments
- Expertise in programming languages like Python and SQL
- Experience with AI integration using LLMs
- Knowledge of compliance and risk management standards

Drive AI innovation in risk management strategies at BMO.

📌 Decision Science AI Engineer Position at BMO (Toronto)
🏢 Bank of Montreal
📍 Toronto