Senior AML Data Analytics Specialist

About the Role

Key Responsibilities

• Leads or supports the design, implementation and maintenance of BIU query tools, reports, and analyses
• Applies knowledge of regulatory requirements, suspicious activity typologies, and AML red flags to assess the AML or TF risk posed by customers
• Works independently on a range of complex tasks
• Exercises judgment to identify, diagnose, and solve problems within given rules
• Conducts independent analysis and assessment to resolve strategic issues
• Evaluates performance of query tool portfolio and addresses any issues with efficiency/effectiveness
• Applies knowledge of SQL to assemble unstructured, semi-structured, and structured data into consistent datasets with multiple levels of granularities
• Applies statistical techniques to test, verify, and refine hypotheses; summarizes findings; and presents actionable business recommendations
• Presents findings and recommendations in a simple, clear way to drive action
• Provides support for data analysis and visualization, ensuring adherence with data governance standards
• Works with internal schema owners and external vendors to discover and evaluate data sources
• Provides advice and guidance to FIU and external stakeholders on implementation of solutions
• Supports the execution of BIU strategic initiatives in collaboration with internal and external stakeholders
• Executes work to deliver timely, accurate, and efficient service
• Produces clear, concise documentation for query tools, reports, and analyses
• Supports BIU alert ingestion and analytical development in collaboration with stakeholders

Requirements

• Proficiency with SQL required; proficiency with Python, R, and/or SAS preferred
• Must be able to prepare and analyze large datasets using SQL
• Must have extensive knowledge of AML and fraud typologies
• Must be a critical thinker and creative solver of complex problems
• Must have excellent verbal and written communication skills
• Must be independent and capable of effectively managing competing priorities
• Must be able to collaborate as required
• Technical proficiency gained through a combination of education and experience
• Bachelor's degree in relevant field of study
• At least four years of relevant experience in AML, Fraud Prevention, Law Enforcement, or related businesses

Nice to Have

• Proficiency with Python, R, and/or SAS

Qualifications

• Bachelor's degree in relevant field of study
• At least four years of relevant experience in AML, Fraud Prevention, Law Enforcement, or related businesses

Benefits & Perks

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• Performance-based incentives and discretionary bonuses
• Other perks and rewards
• More details available at https://jobs.bmo.com/global/en/Total-Rewards