Senior Data Scientist AML Solutions
Summary
Build and optimize machine-learning models that monitor transactions for money-laundering risks at a major Canadian bank.
Join BMO as a Senior Data Scientist focused on AML Transaction Monitoring and Machine Learning to enhance financial crime detection capabilities. Utilize advanced analytics and machine learning to improve compliance and reduce false positives.
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.
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.