What you will doAlso, as a Manager you will have the following responsibilities:
- 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 that the quality of the team's deliverables meets KPMG's standards of excellence and clients' needs.
- Act as subject matter expert on financial crimes technology and analytics so that we can provide services in compliance with best practices, legal requirements, and the firm's standards of excellence.
- Collaborate with a diverse range of regulated entities to tackle financial crime issues, including Anti-Money Laundering (AML) and Global Sanctions, across all three lines of defense. Support Financial Crimes leaders in the financial services sector with analytical and technology-driven tasks.
- Lead financial crimes compliance analytics initiatives by spearheading the development and implementation of innovative solutions that improve the efficiency and effectiveness of financial crime prevention efforts, thereby establishing a high standard for compliance excellence.
- Lead the design, validation, review, optimization, and audit across various financial crimes models (AML TM, Sanctions, Customer Risk, and), including statistical, machine learning, and artificial intelligence models for traditional financial institutions, correspondent banks, insurance providers, brokerages, FinTech's, online marketplaces and Money Service Businesses (MSB's) regulated by the OSFI, FINTRAC, OCC, Federal Reserve, and the New York DFS.
- Lead model tuning, segmentation, and threshold calibration activities to improve detection accuracy and reduce false positives.
- Lead data analysis and remediation efforts, including data mapping, cleansing, and validation to support system implementation and regulatory reporting.
- Serve as a subject matter expert in projects aimed at enhancing compliance programs by utilizing data analytics and advanced technologies to mitigate risks and streamline processes. Conduct data analytics to test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively summarizing findings.
- Lead in the design and development of assets that employ advanced analytical tools, including intelligent automation, large language models, as part of anti-financial crime initiatives.
- Lead management in recognizing, escalating, and managing engagement risks for both internal and external stakeholders. Serve as a solution leader for the leadership team, overseeing specific components of engagements, supervising staff-level teams, and providing guidance and training to other team members.
- Lead implementation and application of advanced analytical methodologies to improve the detection, reduction of false positives and reporting of financial crimes. Support clients with technical risk and control reviews, ensuring that compliance projects are executed accurately and aligned with the latest regulatory requirements, expectations and industry best practices.
- Collaborate with cross-functional teams across KPMG's national and global network to deliver integrated solutions and thought leadership.
- Mentor and develop junior team members, fostering a culture of excellence, inclusion, and continuous learning.
What you bring to the role- A minimum of 8 + years of experience in financial crimes compliance, including areas such as Anti-Money Laundering (AML), Global Sanctions, Anti-Bribery and Corruption (ABC), or in model risk management within the financial or professional services sectors, as well as with relevant banking, securities, or insurance regulatory agencies.
- Bachelor's degree from an accredited college or university in business administration, finance, accounting, economics, engineering, data science, computer science, information systems, statistics, math or a related quantitative field of study
- Master's degree (MS or MBA) from an accredited college or university in the aforementioned areas is considered an asset.
- A comprehensive understanding of prevalent money laundering schemes and the legal and regulatory framework surrounding AML and sanctions, particularly the laws, regulations, and guidance established by FINTRAC, OSFI, and other global regulatory bodies such as the OCC, OFAC, and FinCEN. Experience with applications and packages related to Transaction Monitoring Vendor Solutions, KYC Vendor Solutions, and OFAC sanctions screening solutions is advantageous.
- Proficiency in data engineering, analytical research, statistical sampling, and technical skills, with substantial experience in data analysis or database management tools such as SQL, R, Python, or similar technologies.
- Demonstrated experience in evaluating, assessing, and enhancing financial crimes compliance programs, including conducting internal audits, compliance testing reviews, model validations, and addressing identified deficiencies. Strong familiarity with vendor solutions, including KYC, Transaction Monitoring, and Sanctions Screening, is preferred.
- Strong interpersonal skills with the capability to meet team and business needs. Experience in auditing, testing, or quality assurance of AML and/or OFAC controls and processes is essential. Strong writing skills across various formats, including reports and presentations, along with significant proficiency in Microsoft Excel and PowerPoint.
- Extensive knowledge of the technologies and solutions available on the market for monitoring and assessment of the risk of money laundering.
- Experience in leading system tuning, threshold calibration, and segmentation techniques to support model optimization.
- Understanding of laws, regulations and best practices that address financial crimes.
- Understanding of banking, insurance, asset management products and services, and existing technologies in the market.
This position requires written and oral fluency in English. The successful candidate will be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG.
For applicants residing in Ontario, the expected base salary range for this position is $98,000 to $131,500 CAD and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on factors such as skills, competencies, experience, location, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
