AI Engineer & Decision Scientist for Risk Analytics

BMO; Toronto; On-site; CAD 80,000 - 175,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Financial Group in Toronto is seeking an AI Engineer – Decision Science with strong expertise in ML, AI and advanced analytics to design and deploy intelligent decision systems across risk domains. This role focuses on applying AI and ML to transform risk processes, including automated decisioning and next-generation agentic AI solutions powered by large language models (LLMs).

You will design and deploy AI/ML decision science solutions for credit adjudication, collections, loan review, and

Qualifications

• Master’s degree in a quantitative field.
• 3+ years of ML/AI/analytics experience in financial services or risk.
• Hands-on experience building ML/AI models for credit risk or enterprise risk.
• Strong Python, SQL and SAS skills.
• Experience with LLMs, NLP, and AI automation.
• Knowledge of model governance, validation, and regulatory expectations.
• Experience handling large structured and unstructured data.

Responsibilities

• Design and deploy AI/ML decision science solutions for risk use cases.
• Build automated decisioning frameworks to improve efficiency and consistency.
• Develop analytics including sentiment analysis, fraud detection, and risk scoring.
• Design agentic AI workflows using LLMs and external services.
• Ensure governance, security, and explainability of AI systems.
• Collaborate with Risk, Credit, Fraud, and Finance teams.

Skills

Python

SQL

SAS

ML/AI

NLP

Risk analytics

Education

Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or related field

Tools

Power BI

Tableau

Spark

Databricks

Job description

BMO Financial Group in Toronto is seeking an AI Engineer – Decision Science with strong expertise in ML, AI and advanced analytics to design and deploy intelligent decision systems across risk domains. This role focuses on applying AI and ML to transform risk processes, including automated decisioning and next-generation agentic AI solutions powered by large language models (LLMs).

You will design and deploy AI/ML decision science solutions for credit adjudication, collections, loan review, and