Transform risk analytics as a Decision Science AI Engineer at BMO, utilizing AI and machine learning to create intelligent systems. Collaborate on creative 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