Find work in Canada.

622,537 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 3 months ago
AM
SoC Data Path Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a SoC Data Path Engineer, you will drive balanced, scalable, and automated solutions. In this high visibility position, your software systems engineering expertise will be necessary…
Added 5 months ago
R
Staff Platform Engineer
Rivian
Vancouver, BC
- Full-time
Are you a Staff or Lead-level Platform Engineer passionate about developer experience (DevEx), build and release engineering, and robust infrastructure? We are looking for a hands-on expert…
Added 5 months ago
K
Manager, Data Platform(s) Architect, Data & AI
KPMG
Calgary, AB · Vancouver, BC
- Full-time
8+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application…
Added 4 months ago
K
Senior Consultant, Financial Crimes - Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
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…
Added 4 months ago
K
Manager, Financial Crimes- Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
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…
Added 4 months ago
K
Senior Manager, Data Analysis & Audit Productivity
KPMG
Winnipeg, MB · Saint John, NB · Fredericton, NB · Moncton, NB · Sudbury, ON · Hamilton, ON · Parry Sound, ON · Kingston, ON · Sault Ste. Marie, ON · North Bay, ON · London, ON · Toronto, ON · Windsor, ON · Ottawa, ON · Oakville, ON · Vaughan, ON · Waterloo, ON · Perth, ON · St. Catharines, ON · Swift Current, SK · Regina, SK · Saskatoon, SK · Vanderhoof, BC · Langley (District), BC · Prince George, BC · Fort St. John, BC · Victoria, BC · Chilliwack, BC · Abbotsford, BC · Vernon, BC · Kamloops, BC · Burnaby, BC · Vancouver, BC · Quesnel, BC · Kelowna, BC · Halifax, NS · St. John's, NL · Edmonton, AB · Calgary, AB · Lethbridge, AB · ON · Langley, British Columbia · Kanata, Ontario
- Full-time
Post-secondary degree in computer engineering, mathematics, data science, or related disciplines
Added 4 months ago
K
Manager, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
KPMG
Montreal, QC · Quebec City, Quebec
- Full-time
As a Manager, Software Delivery Developer, you will combine hands-on technical leadership with team management and client delivery. You will lead development workstreams, guide architecture…
Added 4 months ago
K
Consultant, Financial Crimes - Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
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…
Added 4 months ago
K
Senior Consultant, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
KPMG
Montreal, QC · Quebec City, Quebec
- Full-time
Our Gen AI and Software Delivery team helps clients build, modernize, and operate software using modern engineering practices, cloud platforms, and AI-enabled delivery approaches.
Added 4 months ago
K
Senior Consultant, Software Delivery Developer
KPMG
Calgary, AB
- Full-time
As a Senior Consultant, Software Delivery Developer, you will design and build high-quality software solutions while helping guide delivery teams and client stakeholders through technical…
Added 4 months ago
K
Manager, Software Delivery Developer
KPMG
Calgary, AB
- Full-time
As a Manager, Software Delivery Developer, you will combine hands-on technical leadership with team management and client delivery. You will lead development workstreams, guide architecture…
Added 3 months ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech…
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
Deep understanding of complex software systems, including architecture design, system integrations, legacy platforms, data pipelines, monitoring tools, scripting (Python/SQL), AI-assisted…
Added 2 months ago
TH
Sr. Cyber Security Analyst - AI Security & Microsoft 365 Security
Trillium Health Partners
Mississauga, ON
- Full-time
Define and implement controls for secure use of AI technologies, including data classification, data loss prevention (DLP), access control, and information protection.
Added 2 months ago
BC
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
…competitive advantage and business superior performance through data, technology and digital. BCG Platinion sits within the TDA practice and is at the heart of the strategic impact we have…
Added 2 months ago
S
Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
Sanofi’s Digital organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed AI products built…
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing
Added 2 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
…automation, APIs, claims management, next-generation reporting, and data exploration…
Added 2 months ago
S
Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $130,000 to $145,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 2 months ago
VC
Senior Software Engineer (Golang, Python, Microservices)
VTRAC Consulting Corporation (WBE)
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $145,000 CAD / year
- Full-time
…redefining enterprise energy management through intelligent, data-driven solutions. You’ll work at the heart of a sophisticated technology platform, engineering high-performance backend…
Added 2 months ago
AW
Sr. Manager, Physical Design Engineering, Annapurna Labs
Amazon Web Services (AWS)
Toronto, ON
- Full-time
We’re looking for a Senior Manager, Physical Design Engineering to build and lead a world-class Physical Design team delivering multi-billion-transistor ML accelerator SoCs on latest tech…
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…
Added 2 months ago
Z
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
- Full-time
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
…firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate…

KPMG

Senior Consultant, Financial Crimes - Data Analytics

UNAVAILABLE, Ottawa, ON, Canada
UNAVAILABLE, Montreal, QC, Canada
ON, Canada
UNAVAILABLE, Toronto, ON, M5H 2S5, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Jun 18, 2027
Posting language: English
Posted: Jun 18, 2026

Original job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

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 Senior Consultants to help shape the future of our national service offering and grow our high-performing team.

Based in 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

What you will do

As a 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 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.

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

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

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

We embrace 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.

Apply About employer

More about this job

Responsibilities

Support the delivery of technology-enabled financial crime engagements by developing and implementing innovative solutions for AML and sanctions compliance. Conduct data analysis, model validation, and system tuning to improve detection accuracy and ensure alignment with regulatory requirements.

Requirements

Requires a minimum of 3 years of experience in financial crimes compliance or model risk management within the financial services sector. A bachelor's degree in a quantitative field is required, with a master's degree considered an asset.

Skills

Anti-money laundering
Global sanctions
Data analytics
SQL
Python
R
Transaction monitoring
KYC
Model validation
Compliance testing
Statistical analysis
Machine learning
Artificial intelligence
Risk management
Regulatory reporting
Data mapping

Benefits

Competitive total rewards program
Bonus eligibility

Visa sponsorship

Not detected in the job text

Keywords

Anti-Money Laundering
Global Sanctions
Data Analytics
SQL
Python
R
Transaction Monitoring
KYC
Model Risk Management
FINTRAC
OSFI
Machine Learning
Artificial Intelligence
Compliance
Risk Assessment
Data Engineering
Statistical Sampling
Internal Audit
Regulatory Framework
Large Language Models
Intelligent Automation
Threshold Calibration
Segmentation
Financial Services
Consulting
Data Mapping
Reporting
Risk Mitigation
Business Administration
Quantitative Analysis

Report this job