Drive innovation in Anti-Money Laundering with BMO as a Data Scientist II. Utilize advanced analytics and machine learning to optimize transaction monitoring solutions in this dynamic role.

BMO is seeking a Data Scientist II with 4-6 years of experience to focus on AML transaction monitoring and machine learning. This role requires strong skills in Python, SQL, and model performance assessment. You will analyze large datasets to identify suspicious activities, improve detection capabilities, and work collaboratively across teams.

Key Responsibilities:



• Design and deploy machine learning models for AML monitoring • Analyze vast datasets for emerging money laundering risks • Conduct feature engineering and exploratory data analysis • Support model tuning and ongoing performance assessments • Prepare comprehensive documentation for validation and audits

Requirements: • 4-6 years in data science or related field • Proficiency in Python and SQL for data analysis • Solid understanding of machine learning algorithms • Experience with large structured datasets • Ability to communicate technical concepts effectively

Utilize your advanced analytics skills to strengthen BMO's financial crime detection and compliance initiatives. #J-18808-Ljbffr

📌 AML Data Scientist II at BMO (Toronto)
🏢 Bank of Montreal
📍 Toronto