Senior Manager, First Party Fraud Analytics - Business Banking
$105k - $215k per yearSkillhub Solutions Inc.
Senior Manager, First Party Fraud Analytics - Business BankingBank of MontrealToronto, ON Part-time CA$105,000 - CA$215,000 / yearAbout 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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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