AML Analytics Manager

Canada·Torontomid

DataData Manager

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Quick Summary

Key Responsibilities

Strong experience in AML / Financial Crime Analytics, with demonstrated experience leading end-to-end projects, managing and coaching teams, and providing technical guidance across TM, NS and/or CRR.

Technical Tools

DataData Manager

Advisory

Not Applicable

Cybersecurity & Privacy

Manager

At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data.

As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively.

As a AML Analytics Manager , unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:

Lead end-to-end delivery of AML Analytics projects, including project planning, team management, client engagement, project economics, and quality of deliverables.

Lead the development, enhancement, tuning, and implementation of AML models and detection capabilities across Transaction Monitoring (TM), Name Screening (NS), and Customer Risk Rating (CRR).

Advise clients on AML analytics strategy, model enhancements, technology transformation, and opportunities to improve financial crime detection.

Apply AML, data, and analytical expertise to assess model performance, scenario coverage, data quality, and optimization opportunities.

Build trusted client relationships and translate complex analytical findings into clear business recommendations and executive-level communications.

Lead, coach, and develop team members, including providing technical guidance, training, and ongoing feedback.

Contribute to the growth of the AML Analytics practice through solution development, thought leadership, proposals, and client opportunities.

Responsibilities

~1 min read

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services {+ 16 more}

Requirements

~1 min read

Not Specified

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).