Senior Manager Data Analytics Jobs in Quebec (NOW HIRING)

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At KPMG, we don’t just respond to financial crime, we redefine how the industry is managing the risk. Our newly launched National Financial Crimes Centre of Excellence (FC COE) is a bold step forward in the fight against money laundering, , corruption, and emerging threats. This is your opportunity to be part of a purpose-driven team that combines cutting-edge analytics, global insights, and deep regulatory expertise to protect the financial system and build trust in society.

Whether you're a seasoned compliance analytics professional , a data-driven problem solver, or a strategic thinker passionate about compliance, the FC COE offers a dynamic platform to innovate, collaborate, and lead. Join us in shaping the future of financial crime prevention, where your impact will be felt across industries, borders, and communities.

Do you want to work in a dynamic and stimulating environment? This offer is for You!

KPMG’s newly established National Financial Crimes Centre of Excellence (FC COE) is seeking professional Consultants and Senior Consultants to help shape the future of our national service offering and grow our high-performing team.

Based in Vancouver, Greater Toronto Area, Ottawa, or Greater Montreal Area, and connected across Canada, this role offers a dynamic and stimulating environment where innovation, collaboration, and purpose converge. As part of the FC COE, you’ll work with leading experts and cutting-edge tools to help clients navigate complex financial crime risks and regulatory expectations.

In alignment with laws, regulations, and industry best practices, our team advises clients on a wide range of financial crime matters, including:

• Anti-money laundering
• Economic sanctions
• Anti-tax evasion
• Anti- corruption

Also, as Senior 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.

• 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.

Providing you with the support you need to be at your best

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KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

• 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.