Senior Manager, First Party Fraud Analytics - Business Banking

Skillhub Solutions Inc.; Toronto; On-site; CAD 105,000 - 215,000; Part time

Job summary

Bank of Montreal in Toronto is seeking a Senior Manager, First Party Fraud Analytics for Business Banking. The role leads data-driven strategies to detect and mitigate fraud while balancing customer experience and portfolio growth.

The position requires 7-10+ years in fraud analytics, strong leadership, and hands-on skills with SQL, Python, Power BI and analytics tools. It is a part-time opportunity based in Toronto with competitive CAD pay.

Qualifications

• Bachelor's degree in a relevant field and typically 7-10+ years of relevant experience in fraud analytics, risk analytics, data science or a related field.
• Expertise in fraud analytics, statistical analysis, machine learning, predictive modeling and first-party fraud risk management, preferably for lending products.
• Hands-on experience with SQL, Python, Power BI, Dataiku or SAS; business banking and score-vendor experience are assets.
• Experience leading and developing analytics teams and influencing senior stakeholders.

Responsibilities

• Develop and optimize risk-based rules, triggers, alerts and monitoring frameworks for first-party fraud, including misrepresentation, synthetic identities, bust-outs, stolen-ID onboarding and post-origination fraud.
• Assess score effectiveness and work with score vendors and risk engines; develop early-warning indicators, dashboards and monitoring tools.
• Evaluate rules and alerts through performance metrics, loss analysis, ongoing testing and collaboration with investigation and operations teams.
• Use advanced analytics, machine learning, statistical modeling and data mining to identify fraud typologies, risks and behavioral patterns, and develop predictive models.
• Partner with product, risk, technology and business stakeholders; communicate findings and influence enterprise fraud strategy.

Skills

Fraud analytics

Statistical analysis

Machine learning

Predictive modeling

Leadership

Education

Bachelor's degree in a relevant field

Tools

SQL

Python

Power BI

Dataiku

SAS

Job description

Senior Manager, First Party Fraud Analytics - Business Banking

Bank of Montreal

Toronto, ON Part-time CA$105,000 - CA$215,000 / year

About the role

BMO is seeking a senior analytical leader to advance first-party fraud analytics for business banking. The role develops data-driven strategies to detect and mitigate fraud while balancing customer experience, portfolio performance and business growth.

Responsibilities

• Develop and optimize risk-based rules, triggers, alerts and monitoring frameworks for first-party fraud, including misrepresentation, synthetic identities, bust-outs, stolen-ID onboarding and post-origination fraud.
• Assess score effectiveness and work with score vendors and risk engines; develop early-warning indicators, dashboards and monitoring tools.
• Evaluate rules and alerts through performance metrics, loss analysis, ongoing testing and collaboration with investigation and operations teams.
• Use advanced analytics, machine learning, statistical modeling and data mining to identify fraud typologies, risks and behavioral patterns, and develop predictive models.
• Partner with product, risk, technology and business stakeholders; communicate findings and influence enterprise fraud strategy.

Qualifications

• Bachelor's degree in a relevant field and typically 7-10+ years of relevant experience in fraud analytics, risk analytics, data science or a related field.
• Expertise in fraud analytics, statistical analysis, machine learning, predictive modeling and first-party fraud risk management, preferably for lending products.
• Hands-on experience with SQL, Python, Power BI, Dataiku or SAS; business banking and score-vendor experience are assets.
• Experience leading and developing analytics teams and influencing senior stakeholders.

Salary: $105,000-$215,000 per year. Location: 100 King Street West, Toronto, Ontario.