What you will doAs a Technical Consultant or Senior Consultant in KPMG's National Financial Crimes Centre of Excellence (FC COE), you will support the delivery of technology-enabled financial crime engagements, helping clients enhance the effectiveness and efficiency of their systems, data, and analytics capabilities. You'll work closely with experienced professionals to solve complex challenges and contribute to the development of innovative solutions.
Also, as a Consultant or Senior Consultant, you will have the following responsibilities:
- 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.
- Contribute to financial crimes compliance 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.
- Assist in the design, validation, review, optimization, and audit across various financial crimes models (AML TM, Sanctions, and Customer Risk), 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.
- Supporting model tuning, segmentation, and threshold calibration activities to improve detection accuracy and reduce false positives.
- Conducting data analysis and remediation efforts, including data mapping, cleansing, and validation to support system implementation and regulatory reporting.
- Participate 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.
- Assist 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.
- Assist 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.
- Provide insights into engagement decisions, including work plans, timelines, budgets, project management, and resource allocation. Stay informed about current market trends and emerging regulatory requirements and guidance.
- Implement and apply 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.
- Collaborating with cross-functional teams, including compliance, technology, and data specialists, to deliver integrated solutions.
- Preparing client deliverables, such as reports, presentations, and dashboards, with a focus on clarity, accuracy, and actionable insights.
- Collaborating with national and global teams, gaining exposure to diverse industries and regulatory environments.
What you bring to the role- A minimum of 3 years of experience in financial crimes compliance, including areas such as Anti-Money Laundering (AML), Global Sanctions, and 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.
- Knowledge of the technologies and solutions available on the market for monitoring and assessment of the risk of money laundering.
- Exposure to 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.
The selected candidate must demonstrate excellent communication and presentation skills in English, with the ability to present complex strategic topics to a diverse group of stakeholders located in English-speaking regions of Canada, such as Ontario
For candidates residing in Ontario, the expected base salary range for this position is CAD $69,000 to $107,500 and may be eligible for a bonus. The base salary offered within this range will be determined based on several factors, including the candidate's skills, experience, location, and specific qualifications. In addition, KPMG offers a comprehensive and competitive total rewards program.
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