AML Analytics Manager

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Cybersecurity & Privacy

Management Level
Manager

Job Description & Summary
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.

What You'll Bring
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

• 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.

• Experience developing, enhancing, tuning, or implementing TM, NS, and/or CRR models.

• Strong understanding of AML detection methodologies, including scenarios, thresholds, segmentation, risk factors, model performance, and optimization.

• Experience leading end-to-end AML analytics, model development, or technology transformation projects and multidisciplinary teams.

• Strong analytical and problem-solving skills, with experience working with large and complex customer and transactional datasets

• Experience with analytical tools such as SQL, Python, Pyspark, or similar technologies.

• Strong client and stakeholder management skills, with the ability to communicate technical concepts and recommendations to senior audiences.

• Demonstrated experience leading, coaching, and training teams and developing junior professionals.

• Experience developing AML analytics strategies, methodologies, solutions, or transformation roadmaps.

• Strong knowledge of AML regulatory expectations, emerging financial crime risks, and industry practices.

• Bachelor's or Master's degree in Analytics, Data Science, Computer Science, Statistics, Engineering, Finance, Economics, Business, or a related discipline.

• Relevant AML or financial crime certifications, such as CAMS, are considered an asset.

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $116,100 - $166,100. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
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}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date