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Added 9 mins ago
SQ
Bilingual Financial Service Consultant- Insurance
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Montreal, QC
- Full-time
…their employer plans energizes you. The journey of uncovering a member’s needs and recommending Insurance solutions to satisfy those needs inspires…
Added 9 mins ago
TS
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- $100,000 to $120,000 CAD / year
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Customer Experience Associate- Whistler, BC
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…products and services to refer customers to the appropriate team member or internal Bank partner, while ensuring a positive customer…
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…Prevision360 to market, we are looking for a Business Development Manager to lead customer acquisition, develop relationships across the startup ecosystem, and help establish the commercial…
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PwC Canada

AML Analytics Manager

Toronto, ON, Canada

The salary range for this position is $116,100 - $166,100. · Full-time

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Job details

Pay: The salary range for this position is $116,100 - $166,100.
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

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.

The Opportunity

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.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

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).

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More about this job

Responsibilities

Lead end-to-end AML analytics projects, including model development and optimization across transaction monitoring, name screening, and customer risk rating, while managing project delivery, client relationships, and team performance. Advise clients on AML analytics strategy and transformation, communicate analytical findings as business recommendations, and contribute to practice growth through solutions, proposals, and thought leadership.

Requirements

Candidates should have substantial AML or financial crime analytics experience, including leading projects and teams and developing, enhancing, or implementing transaction monitoring, name screening, or customer risk rating models. They should bring strong analytical, client-management, and communication skills; experience with large datasets and tools such as SQL, Python, or PySpark; knowledge of AML regulations and detection methods; and a relevant bachelor’s or master’s degree, with CAMS or similar certification considered an asset.

Skills

AML Analytics
Financial Crime Analytics
Transaction Monitoring
Name Screening
Customer Risk Rating
AML Model Development
Model Tuning and Optimization
SQL
Python
PySpark
Data Analysis
Project Management
Team Leadership and Coaching
Stakeholder Communication
AML Regulatory Knowledge

Benefits

Competitive Compensation
Variable Incentive Pay
Inclusive Benefits
Flexibility Programs

Visa sponsorship

Not detected in the job text

Keywords

Anti-Money Laundering
Financial Crime
AML Analytics
Transaction Monitoring
Name Screening
Customer Risk Rating
AML Models
Detection Scenarios
Thresholds
Segmentation
Risk Factors
Model Performance
Model Optimization
Data Quality
SQL
Python
PySpark
Large Datasets
Technology Transformation
AML Regulatory Expectations
Financial Crime Risks
Project Management
Client Engagement
Team Leadership
CAMS

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