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Added 1 day ago
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Sr. Software Developer, Eqlipse Trading
Nasdaq
Toronto, ON
- Full-time
3+ years of software development experience with strong Java programming skills and working knowledge of Python and SQL.
Added 1 day ago
Data Analyst Developer – ETL/ELT & Data Pipelines
Vacances Air Canada Vacations / Air Canada Rouge
Mississauga, ON · Montreal, QC
If you're someone who's passionate about exploring the world and sharing that enthusiasm with our customers, we'd love to welcome you to our team.
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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.
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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 1 day 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 1 day ago
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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 1 day ago
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Senior Full Stack Developer (.Net Technology Stack)
BDO
Toronto, ON
- Full-time
We are seeking a skilled Full Stack Developer with strong expertise in the Microsoft .NET technology stack for a hybrid role in downtown Toronto. The ideal candidate will have hands-on…
Added 1 day ago
WM
Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
Data fundamentals: Strong SQL skills and experience working with data models, APIs,
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Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Marsh
Toronto, ON
- Temporary
Basic familiarity with Python and the ability to reason through workflow logic and technical problem-solving tasks.
Added 1 day ago
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…
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Data Engineer
Hays
Montreal, QC
- Contract
Strong hands-on development experience with Python.
Added 1 day ago
WM
Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
Data fundamentals: Strong SQL skills and experience working with data models, APIs,
Added 1 day ago
SA
Business Systems Analyst
Southern Alberta Institute of Technology (SAIT)
Calgary, AB · Greater Calgary Metropolitan Area
- Temporary
…operational effectiveness across CEPS. The incumbent works closely with stakeholders to identify opportunities, define requirements, and deliver scalable solutions using Smartsheet, Python,…
Added 1 day ago
Specialist Revenue Management Science and Innovation
Vacances Air Canada Vacations / Air Canada Rouge
Mississauga, ON · Montreal, QC
Programming experience in at least one of the following languages: Python, C/C++, SQL, R.
Added 1 day ago
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Workday Developer
Telesat
Ottawa, ON
- Full-time
We are seeking a highly skilled Workday Developer with 3+ years of Finance-focused experience in Workday configuration, security, reporting, custom integrations, APIs, and user support. SQL…
Added 1 day ago
TI
Full Stack Engineer (knowledge graph platform)
Tekgence Inc
Toronto, ON
- Contract
Strong Python backend development using FastAPI, Django, or Flask.
Added 1 day ago
TC
Test Automation Developer TOSCA, Playwright & Python
Tata Consultancy Services
Canada
- Full-time
Experience with Pytest, SQL/database validation, test data management, and automated test reporting.
Added 1 day ago
PG
Python Developer
Pacer Group
Mississauga, ON
- Full-time
6+ years of exp. in Python with min 2 years on Java.
Added 1 day ago
UH
Technical Specialist, Techna (Data Engineer)
University Health Network
Toronto, ON
- Full-time
UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western…
Added 1 day ago
AI
Lead IBP Supply
Apotex Inc.
Toronto, ON · North York, ON
- $83,126.34 to $116,377 CAD / year
- Full-time
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
Added 1 day ago
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Technical Architect
Cognizant
Mississauga, ON
- Full-time
This role is for an experienced Architect with deep expertise in modern web technologies and data driven applications responsible for designing scalable solutions using JavaScript…
Added 1 day ago
IG
Sr Financial Analyst / Associate Finance Manager
Insight Global
Vaughan, ON
- $80,000 to $100,000 CAD / year
- Full-time
The position does not currently have direct reports; however, candidates with demonstrated leadership experience may be considered at the Associate Finance Manager level.
Added 1 day ago
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AI Engineer With Strong python coding - 8 Years
J2B Global LLC
Mississauga, ON
- Full-time
Strong Python development experience with FastAPI or Flask and experience building production-grade AI/LLM applications.
Added 1 day ago
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AI Engineer
VySystems
Mississauga, ON
- Full-time
Strong Python development with FastAPI or Flask.
Added 1 day ago
Senior Financial Analyst, AI
Scotiabank
Toronto, ON
It would be an asset if you have experience with Analysis Services, Python, or other automation tools.

BMO

Senior Manager, First Party Fraud Analytics - Onboarding

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 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.

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More about this job

Responsibilities

The Senior Manager will develop and execute data-driven strategies to identify and mitigate first-party fraud risk across onboarding channels. They will lead the design of predictive models and analytical frameworks while collaborating with cross-functional teams to drive enterprise fraud management innovation.

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 senior stakeholders.

Skills

Fraud analytics
Statistical analysis
Machine learning
Predictive modeling
SQL
Python
PowerBI
Dataiku
Risk management
Data mining
Big data
Model governance
Fraud detection
Stakeholder management
Strategic planning
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
Fraud Analytics
Risk Management
Machine Learning
Predictive Modeling
SQL
Python
PowerBI
Dataiku
SAS
TransUnion
Equifax
Big Data
Data Mining
Model Governance
Artificial Intelligence
Fraud Detection
Behavioral Insights
Risk Engines
Portfolio Management
Data Visualization
Statistical Analysis
Operations Research
Deep Learning
Feature Engineering
Synthetic Identities
Bust-outs
Onboarding
Account Monitoring
Enterprise Fraud Management

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