Senior Manager, Financial Crimes- Data Analytics
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Key skills for this role
About the Role
KPMG Canada is seeking a Senior Manager to lead financial crimes analytics engagements, focusing on AML, sanctions, and anti-corruption. The role involves managing teams, developing analytics solutions, and advising clients on compliance.
Key Skills for This Role
Responsibilities
- Coordinate management and execution of client engagements focused on financial crimes analytics
- Lead a team of financial crime Consultants and Senior Consultants
- Act as subject matter expert on financial crimes technology and analytics
- Lead design, validation, review, optimization, and audit of financial crimes models
- Lead data analysis and remediation efforts including data mapping, cleansing, and validation
- Mentor and develop junior team members
Requirements
- 8+ years of experience in financial crimes compliance or model risk management
- Bachelor's degree in business, finance, economics, engineering, data science, computer science, statistics, math, or related field
- Proficiency in SQL, R, Python, or similar data analysis tools
- Experience with AML transaction monitoring, sanctions screening, and KYC vendor solutions
- Proficiency in French and English
Full Job Posting
Overview
- KPMG's newly established National Financial Crimes Centre of Excellence (FC COE) is seeking a Senior Manager to help shape the future of our national service offering.
- Based in Vancouver, Greater Toronto Area, Ottawa, or Greater Montreal Area.
What You Will Do
- Coordinate the management and execution of client engagements focused on financial crimes analytics in anti money laundering (AML), sanctions compliance, anti corruption, and anti tax evasion.
- Lead a team of financial crime Consultants and Senior Consultants while ensuring quality of deliverables.
- Act as subject matter expert on financial crimes technology and analytics.
- Lead financial crimes compliance analytics initiatives by spearheading development and implementation of innovative solutions.
- Lead design, validation, review, optimization, and audit across various financial crimes models.
- Lead model tuning, segmentation, and threshold calibration activities.
- Lead data analysis and remediation efforts including data mapping, cleansing, and validation.
- Serve as subject matter expert in projects aimed at enhancing compliance programs using data analytics.
- Lead in design and development of assets employing advanced analytical tools.
- Lead management in recognizing, escalating, and managing engagement risks.
- Mentor and develop junior team members.
What You Bring To The Role
- Minimum of 8+ years of experience in financial crimes compliance or model risk management.
- Bachelor's degree in business administration, finance, accounting, economics, engineering, data science, computer science, information systems, statistics, math or related quantitative field.
- Master's degree considered an asset.
- Comprehensive understanding of AML and sanctions legal and regulatory framework.
- Proficiency in data engineering, analytical research, statistical sampling, and technical skills with SQL, R, Python.
- Demonstrated experience in evaluating and enhancing financial crimes compliance programs.
- Strong interpersonal and writing skills.
- Extensive knowledge of technologies for monitoring money laundering risk.
- Experience in system tuning, threshold calibration, and segmentation.
- Understanding of banking, insurance, asset management products and services.
- Proficiency in both French and English.
Compensation
- Base salary range for Ontario: CAD 116,500 to CAD 205,500, plus bonus eligibility.
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