Find work in Canada.

621,270 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 4 days ago
TR
Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Added 4 days ago
C
Staff Program Manager, Marketing Enablement
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
Hands-on technical depth: You've built things. Comfort with APIs, prompt engineering, and automation tools (Zapier, Make, or similar) is table stakes. Reading and writing code (Python,…
Added 4 days ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 4 days ago
Senior Data Scientist
Conviva
Toronto, ON
Proficiency in Python (primary), Scala, or similar languages for production-grade data science.
Added 4 days ago
AI/ML Engineer
Conviva
Toronto, ON
…will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and…
Added 4 days ago
E
Junior AI Developer
Ericsson
Ottawa, ON
- Full-time
…Artificial Intelligence to improve product quality, test automation, engineering productivity, and verification efficiency. We are looking for a passionate Junior AI Developer who wants to…
Added 4 days ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 4 days ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.
Added 4 days ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
5 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
Added 4 days ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Define quality strategies, test plans, test cases, and test data for functional, integration, system, regression, API, database, and acceptance testing.
Added 4 days ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
Foundational understanding of computer science and software engineering concepts, including data structures, algorithms, APIs, debugging, testing, version control, and problem solving.
Added 4 days ago
IG
Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Define quality strategies, test plans, test cases, and test data for functional, integration, system, regression, API, database, and acceptance testing.
Added 4 days ago
C
Senior Data Scientist
Conviva
Toronto, ON
- Full-time
Proficiency in Python (primary), Scala, or similar languages for production-grade data science.
Added 4 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 4 days ago
R
Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
- Full-time
…stitched, permissions-aware business ontology that connects data, workflows, identities, permissions, and business processes across HR, IT, Finance, and Operations. Built on top of that…
Added 4 days ago
TR
Spécialiste en fiabilité / Reliability Specialist
Tower Research Capital
Montreal, QC
- Full-time
Maîtrise du scripting Python et/ou d’autres langages de script tels que Perl, Bash ou Shell
Added 4 days ago
I
QA Engineer
Intersog
Remote, Canada
- Contract
- Remote
Intersog is a software engineering, custom development, and IT consulting provider that helps organizations build dedicated development teams and access the technology expertise needed to…
Added 4 days ago
I
QA Engineer
Intersog
Remote, Canada
- Contract
- Remote
Intersog is a software engineering, custom development, and IT consulting provider that helps organizations build dedicated development teams and access the technology expertise needed to…
Added 4 days ago
I
QA Engineer
Intersog
Remote, Canada
- Contract
- Remote
Intersog is a software engineering, custom development, and IT consulting provider that helps organizations build dedicated development teams and access the technology expertise needed to…
Added 4 days ago
O
Senior Software Engineer - AI Oversight
OpenMined
Remote, Canada
- $126,000 to $160,000 USD / year
- Contract
- Remote
5+ years of professional engineering experience, with strong Python skills
Added 4 days ago
C
Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
…intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business opportunities into production-grade AI…
Added 4 days ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
Write clean, efficient, and reusable Python code for data functions, pipeline development, and data asset monitoring.
Added 4 days ago
B
Senior Manager, First Party Fraud Analytics - Onboarding
BMO
Toronto, ON
- Full-time
Data wrangling, preprocessing, and feature engineering
Added 4 days ago
PG
Software Engineer in Test
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
5+ years of relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.
Added 4 days ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
Define quality strategies, test plans, test cases, and test data for functional, integration, system, regression, API, database, and acceptance testing.

BMO

Senior Manager, First Party Fraud Analytics - Onboarding

Toronto, ON, Canada

$105,000.00 - $215,000.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $105,000.00 - $215,000.00
Job type: Full-time
Apply by: Dec 2, 2026
Experience: Typically 7–10+ years of relevant experience in fraud analytics, risk analytics, data science, or a related field, or an equivalent combination of education and experience.
Posting language: English
Posted: Nov 2, 2026

Original job description

We are seeking a senior analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. This role is accountable for executing data-driven strategies that proactively identify, measure, and mitigate first party fraud risk while balancing customer experience, portfolio performance, and business growth objectives. Working closely with Technology, Data & Analytics, Risk, and Business stakeholders, the Senior Manager will leverage advanced analytics, machine learning, and behavioral insights to strengthen fraud detection, improve loss attribution, and support real-time risk decisioning.

As Enterprise Fraud Management (EFM) continues to evolve its typology-based approach to First Party Fraud, this leader will play a critical role in building and enhancing a framework that distinguishes fraud from traditional credit risk, enabling more effective controls, stronger detection capabilities, and improved fraud loss management. Operating at an enterprise level, the Senior Manager will influence fraud analytical strategies, drive innovation, and serve as a trusted advisor on emerging fraud trends, analytics best practices, and the application of data-driven insights to protect the bank and its customers.

Key Responsibilities:

Develop risk‑based rules to identify FPF behaviors, including misrepresentation, synthetic identities, bust‑outs, stolen IDs onboarding and post‑origination fraud.
Optimize risk-based rules, triggers, and alerting capabilities to identify first party fraud behaviors.
Generate alerts for our onboarding channels to track delinquency, account monitoring
Assess score effectiveness via Proof of Concept to ingest data into models
Work with score vendor (TransUnion, Equifax) and risk engines
Develop early warning indicators and monitoring tools to detect emerging fraud patterns and portfolio shifts.
Build dashboards with relevant metrics
Evaluate rule effectiveness through performance metrics, loss analysis, and ongoing testing.
Partner with Fraud Strategy, Investigations, and Operations teams to ensure alerting frameworks drive actionable and prioritized investigations.
Use advanced analytics, data mining, and behavioral insights to identify new first‑party fraud typologies and translate insights into actionable rules.
Apply advanced analytics, machine learning, statistical modeling, and data mining techniques to uncover new fraud risks and behavioral patterns.
Design and scale predictive models and analytical solutions that improve fraud detection and support smarter business decisions.
Conduct large-scale analysis across diverse data sources to identify trends, opportunities, and emerging threats.
Leverage big data tools and modern analytics platforms to enhance fraud monitoring and decisioning capabilities.
Collaborate with product, risk, technology, and business teams to support strategic decision-making, business planning, and future roadmap development.
Communicate complex analytical concepts and findings to executive and non-technical audiences in a clear and compelling manner.
Influence enterprise fraud management strategies through thought leadership, innovation, and data-driven recommendations.
Build strong partnerships across the organization to drive alignment and achieve business objectives.

Qualifications:

Technical & Analytical Expertise

Advanced expertise in fraud analytics, statistical analysis, machine learning, and predictive modeling.
Strong knowledge of first party fraud risk management and fraud detection methodologies, related to lending products.
Expert-level understanding of:
- Mathematics, statistics, and operations research
- Machine learning and deep learning techniques
- Data wrangling, preprocessing, and feature engineering
- Big data environments and analytical platforms
- Data visualization and storytelling
- Model governance, ethics, bias, and responsible AI
Experience developing fraud rules, alerts, and risk monitoring frameworks.
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.

Leadership & Business Skills

Exceptional analytical, problem-solving, and critical-thinking capabilities.
Strong verbal and written communication skills with the ability to influence senior stakeholders.
Proven ability to lead through ambiguity and drive enterprise-wide outcomes.
Demonstrated success building partnerships across multiple functions and levels of the organization.
Strong collaboration, relationship management, and stakeholder engagement skills.
Experience leading and developing high-performing analytics teams.

Education & Experience

Bachelor’s Degree in a relevant field
Typically 7–10+ years of relevant experience in fraud analytics, risk analytics, data science, or a related field, or an equivalent combination of education and experience. Prior analytical banking experience is an asset.
Experience with banking products within a fraud scope and various risk engines with a key focus on onboarding
Hands on skills with SQL, Power BI, Python, Dataiku, SAS
Prior experience with score vendors (TransUnion, Equifax)
Technical leader and thought partner with demonstrated success influencing strategy and driving transformational change.

Salary:

$105,000.00 - $215,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply About employer

More about this job

Responsibilities

Lead enterprise first-party fraud analytics by developing and optimizing risk rules, alerts, predictive models, and monitoring tools, particularly for onboarding and post-origination activity. Analyze fraud patterns and losses, partner with business, risk, technology, and operations teams, and communicate data-driven recommendations to influence fraud strategy and decision-making.

Requirements

Requires a bachelor’s degree in a relevant field and typically 7–10 or more years of experience in fraud analytics, risk analytics, data science, or a related area. Candidates should bring advanced fraud analytics and modeling expertise, hands-on skills with SQL, Python, Power BI, Dataiku, or SAS, experience with banking products and risk engines, and strong leadership and stakeholder communication abilities.

Skills

First-Party Fraud Analytics
Fraud Risk Management
Fraud Detection
Statistical Analysis
Machine Learning
Predictive Modeling
SQL
Python
Power BI
Dataiku
SAS
Data Mining
Feature Engineering
Risk Monitoring
Model Governance
Team Leadership

Benefits

Health Insurance
Tuition Reimbursement
Accident Insurance
Life Insurance
Retirement Savings Plans
Performance-Based Incentives
Discretionary Bonuses

Visa sponsorship

Not detected in the job text

Keywords

First-Party Fraud
Enterprise Fraud Management
Fraud Analytics
Fraud Risk Management
Onboarding
Risk-Based Rules
Fraud Alerts
Risk Monitoring
Loss Attribution
Early Warning Indicators
Machine Learning
Deep Learning
Statistical Modeling
Predictive Modeling
Data Mining
Behavioral Insights
Feature Engineering
Big Data
SQL
Python
Power BI
Dataiku
SAS
TransUnion
Equifax
Risk Engines
Model Governance
Responsible AI
Portfolio Performance
Fraud Typologies

Report this job