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Added 6 days ago
ES
Adobe CDP Architect
Epsilon Solutions Ltd.
Vancouver, BC
- Contract
Lead journey-mapping and use-case refinement workshops with business and technology stakeholders.
Added 6 days ago
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Manager, Business Management & Optimization
RBC
Toronto, ON
- Full-time
Reporting to the Director, Business Management & Optimization, you will lead initiatives that improve how Fund Administration operates through business transformation, process improvement,…
Added 6 days ago
MN
Solutions Architect - 6 month contract
Modern Niagara
Hamilton, ON · Vaughan, ON
- Full-time
…supporting Power Platform solutions, developing automation through Python scripting, and enabling enterprise application solutions and integrations across Azure and SharePoint…
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Functional Testing Quality Assurance Analyst
Swoon
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QE Lead / Senior QA Automation Engineer – Python Automation
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Data Analyst Developer – ETL/ELT & Data Pipelines
Vacances Air Canada Vacations / Air Canada Rouge
Mississauga, ON · Montreal, QC
Reporting to the Lead Data Analyst Developer, the Data Analyst Developer primary function is to participate in the analysis, development, integration and automation of various data…
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Senior Manager, First Party Fraud Analytics - Lending
BMO
Toronto, ON · FCP
- Full-time
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 6 days ago
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Senior Manager, First Party Fraud Analytics - Onboarding
BMO
Toronto, ON · FCP
- Full-time
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 6 days ago
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Senior Manager, First Party Fraud Analytics - Cards
BMO
Toronto, ON · FCP
- Full-time
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 6 days ago
B
Senior Manager, First Party Fraud Analytics - Business Banking
BMO
Toronto, ON · FCP
- Full-time
Proficiency with data and analytics tools such as SQL, Python, PowerBI, Dataiku, or comparable platforms.
Added 6 days ago
WM
Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
to fostering an open, collaborative, and inclusive culture because we believe multiple perspectives lead to
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IC
QE Lead
Infotek Consulting Inc.
Toronto, ON
- $60 to $69 CAD / hour
- Contract
We are seeking a hands-on QE Lead with strong experience in Python test automation, API testing, database testing, and CI/CD practices. The successful candidate will be responsible for…
Added 6 days ago
Azure Cloud Engineer - Senior Consultant
EY
Toronto, ON
Automating repetitive tasks using scripting languages (e.g., Python, Bash) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
Added 6 days ago
CO
Staff Engineer - Data Engineering
Capital One
Toronto, ON
- Full-time
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Added 6 days ago
P
Toronto Internal Audit & Financial Advisory (Financial Services) Associate Director
Protiviti
Toronto, ON
- Full-time
As an Associate Director, you'll take a lead role in strengthening our relationships with clients and providing seamless guidance in the completion of engagements. You'll partner with our…
Added 6 days ago
WM
Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
to fostering an open, collaborative, and inclusive culture because we believe multiple perspectives lead to
Added 6 days ago
DU
Field Operations Data Acquisition Coordinator
Dalhousie University
Halifax, NS
- Full-time
Lead and coordinate the acquisition, processing, quality control, and management of telemetry data and associated metadata in accordance with established data policies and procedures.
Added 6 days ago
C
Sr. Consultant, Enterprise Scheduling Engineering
CIBC
Toronto, ON
- Full-time
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Added 6 days ago
A-
Agile Team Lead - Integrations
AMA - Alberta Motor Association
Edmonton, AB · Administration Centre
- Full-time
As our Agile Team Lead, Integrations, you’ll lead the Integrations team within Enterprise Architecture & Data, responsible for developing, supporting, maintaining, and enhancing the…
Added 6 days ago
O
Principal Software Developer
OpenText
Waterloo, ON
- Full-time
We are seeking an experienced Principal Software Developer responsible for the design and implementation of services for ingestion, classification and extraction of content from business…
Added 6 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
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Added 6 days ago
Principal Backup Engineer
Scotiabank
Toronto, ON
Lead cross-disciplinary efforts to research, incubate, test, and perform proof of concepts of new and innovative Technologies and solutions for potential use in the Bank in conjunction with…
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VN
Senior Eng Technologist
Vecima Networks Inc.
Saskatoon, SK
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Added 6 days ago
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Sales Engineer
Valence
Toronto, ON
- Full-time
Lead technical discovery with enterprise buyers, HR tech owners, IT and InfoSec.
Added 6 days ago
WT
Senior Software Developer, People Intelligence
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
Lead technical projects from first design through launch and iteration, across products such as performance cycles, compensation planning, talent reviews, total rewards statements, and…
Added 6 days ago
AI
Lead IBP Supply
Apotex Inc.
Toronto, ON · North York, ON
- $83,126.34 to $116,377 CAD / year
- Full-time
Reporting to the Director, Global Supply Planning (GSP), the IBP Supply Lead is responsible for the development and management of supporting systems and tools used in the GSP and IBP SR…

BMO

Senior Manager, First Party Fraud Analytics - Lending

Toronto, ON, Canada
FCP, Canada

$105,000.00 - $215,000.00 · Full-time

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Job details

Pay: $105,000.00 - $215,000.00
Job type: Full-time
Apply by: Nov 16, 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

Application Deadline:

11/15/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

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 lending products 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 products within a fraud scope and various risk engines (ERE, TSYS, MDIF, NCCS)
Hands on skills with SQL, Power BI, Python, Dataiku, SAS
Prior experience with score vendors (TransUnion, Equifax)
Experience generating alerts for lending products (Credit Cards, Lines of Credit) from Banking Industry
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.

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More about this job

Responsibilities

The Senior Manager will lead the development and execution of data-driven strategies to identify and mitigate first-party fraud risk across lending products. They will collaborate with cross-functional teams to implement predictive models, risk-based rules, and monitoring tools to protect the bank and its customers.

Requirements

Candidates must possess 7-10+ years of experience in fraud or risk analytics with advanced proficiency in machine learning, statistical modeling, and data tools like SQL and Python. A bachelor's degree is required, along with strong leadership skills and the ability to influence enterprise-level fraud management strategies.

Skills

Fraud analytics
Machine learning
Predictive modeling
Statistical analysis
SQL
Python
PowerBI
Dataiku
Risk management
Data mining
Big data
Model governance
Stakeholder management
Strategic planning
Fraud detection
Lending products

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

Fraud Analytics
First Party Fraud
Lending
Machine Learning
Predictive Modeling
SQL
Python
PowerBI
Dataiku
Risk Management
Data Mining
Big Data
Model Governance
TransUnion
Equifax
Credit Cards
Lines of Credit
Statistical Analysis
Operations Research
Deep Learning
Feature Engineering
Data Visualization
Responsible AI
Risk Engines
TSYS
MDIF
NCCS
Banking
Strategy
Stakeholder Engagement

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