Manager, Financial Crimes- Data Analytics
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Key skills for this role
About the Role
KPMG Canada seeks a Manager for its National Financial Crimes Centre of Excellence to lead data analytics engagements in anti-money laundering, sanctions, anti-corruption, and anti-tax evasion.
Key Skills for This Role
Responsibilities
- Coordinate the management and execution of client engagements focused on financial crimes analytics in AML, sanctions compliance, anti corruption, and anti tax evasion
- Lead a team of financial crime Consultants and Senior Consultants
- Act as subject matter expert on financial crimes technology and analytics
- Lead the 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
- Conduct data analytics to test and validate financial crime systems and models using SQL, Python, R
- Lead in the design and development of assets employing advanced analytical tools, including intelligent automation and large language models
- Mentor and develop junior team members
Requirements
- Minimum of 8+ years of experience in financial crimes compliance, including AML, Global Sanctions, ABC, 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
- Proficiency in data analysis or database management tools such as SQL, R, Python, or similar technologies
- Experience in evaluating, assessing, and enhancing financial crimes compliance programs
- Strong interpersonal and writing skills
- Master's degree considered an asset
Full Job Posting
Overview
- KPMG's newly established National Financial Crimes Centre of Excellence (FC COE) is seeking a Manager to help shape the future of our national service offering and grow our high performing team.
- Based in Greater Toronto Area, Ottawa, or Greater Montreal Area, this role offers a dynamic environment where innovation, collaboration, and purpose converge.
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.
- Collaborate with regulated entities to tackle financial crime issues across all three lines of defense.
- Lead financial crimes compliance analytics initiatives, developing innovative solutions.
- Lead design, validation, review, optimization, and audit across financial crimes models (AML TM, Sanctions, Customer Risk) including statistical, machine learning, and AI models.
- Lead model tuning, segmentation, and threshold calibration activities.
- Lead data analysis and remediation efforts including data mapping, cleansing, and validation.
- Conduct data analytics to test and validate financial crime systems and models using SQL, Python, R.
- Lead design and development of assets employing advanced analytical tools including intelligent automation and large language models.
- Lead management in recognizing, escalating, and managing engagement risks.
- Lead implementation of advanced analytical methodologies to improve detection and reporting.
What You Bring To The Role
- Minimum of 8+ years of experience in financial crimes compliance, including AML, Global Sanctions, ABC, 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 money laundering schemes and regulatory framework (FINTRAC, OSFI, OCC, OFAC, FinCEN).
- Proficiency in data analysis tools such as SQL, R, Python.
- Experience in evaluating and enhancing financial crimes compliance programs, including internal audits, compliance testing, model validations.
- Strong interpersonal and writing skills, proficiency in Microsoft Excel and PowerPoint.
- Experience in leading system tuning, threshold calibration, and segmentation techniques.
- Understanding of banking, insurance, asset management products and services.
Compensation
- Expected base salary range for this position is $85,500 to $127,500 and may be eligible for bonus awards.
- For applicants residing in Ontario, expected base salary range is $98,000 to $131,500 CAD.
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