AI Engineer - Decision Science at BMO - ScoutJobs - The AI-curated global job board
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Posted 12 hours ago

AI Engineer - Decision Science

BMOAI Engineer- Decision Science

Requirements

Master's degree in quantitative field, 3+ years experience in ML/AI within financial services, Proficiency in Python, SQL, and SAS, Experience with LLMs and agentic AI workflows, Knowledge of model governance and regulatory standards

Skills

PythonSQLSASMachine LearningLLMNLP

About the role

Responsibilities

  • Design and deploy AI/ML-driven decision science solutions to support enterprise risk use cases including credit adjudication, collections, and risk monitoring
  • Build automated decisioning frameworks to optimize labor-intensive processes and improve the speed and accuracy of risk decisions
  • Implement agentic AI workflows leveraging large language models (LLMs) for automated documentation, knowledge retrieval, and intelligent workflow automation
  • Develop advanced analytics solutions including sentiment analysis, behavioral modeling, and fraud detection
  • Process and analyze large, complex structured and unstructured datasets using Python, SQL, and SAS
  • Ensure all models meet model risk management (MRM) standards, including documentation, explainability, and regulatory compliance
  • Collaborate with cross-functional teams in Risk, Credit, Fraud, and Finance to integrate AI solutions into enterprise workflows

Requirements

  • Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative field
  • 3+ years of experience in machine learning, AI, or advanced analytics within financial services or risk environments
  • Hands-on experience building and deploying ML/AI models for credit risk, fraud, or enterprise risk use cases
  • Strong programming expertise in Python, SQL, and SAS
  • Experience with LLMs and AI-based automation, such as NLP or agent-based workflows
  • Solid understanding of model governance, validation, and regulatory expectations

Preferred Qualifications

  • Experience with credit bureau data and credit adjudication or account management models
  • Exposure to agentic AI frameworks, prompt engineering, and LLM orchestration tools
  • Knowledge of risk, capital, or treasury management frameworks
  • Experience with data visualization tools such as Power BI, Tableau, or Spotfire
  • Familiarity with cloud platforms (AWS, Azure, GCP) or big data tools like Spark and Databricks

About the Company

BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management, and investment services to more than 12 million customers.

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AI Engineer - Decision Science

BMO · Toronto

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