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Senior Data Scientist AML Solutions
Job Description & How to Apply Below
The ideal candidate will contribute throughout the model lifecycle, from data acquisition to model optimization. You will analyze large datasets, develop machine learning models, and collaborate with Financial Intelligence, AML Compliance, and Technology teams. Your work will have a direct impact on strengthening the bank's anti-money laundering initiatives and fostering regulatory compliance.
Key Responsibilities:
• Design and deploy machine learning models for AML monitoring
• Analyze customer and transactional data for money laundering risks
• Conduct feature engineering and exploratory data analysis
• Perform quantitative assessments of model performance
• Prepare documentation for model validation and audit
Requirements:
• 4-6 years of relevant experience in data science
• Strong knowledge of Python, SQL, and machine learning techniques
• Experience with large structured datasets
• Understanding of AML regulations and financial crime methodologies
• Ability to communicate complex concepts clearly
Apply your expertise in data and machine learning to support BMO's mission in combating financial crime.
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Position Requirements
10+ Years
work experience
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