Senior Fraud Analytics Analyst
9 hours ago
Winnipeg, Manitoba, Canada
Bank of Montreal
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
Use Python, SQL, and data visualization as a Senior Fraud Analytics Analyst in Toronto’s hybrid model, working three days in office.
At BMO, this senior role advances investigative and detection capabilities protecting the organization and clients. You will transform complex datasets into actionable intelligence through analytics, automation, statistical analysis, and data mining. Your work supports fraud detection, investigations, and proactive risk identification across BMO.
Key Responsibilities:
Analyze customer and employee data for criminal behaviours Develop fraud detection rules, scenarios, models, and metrics Support investigations with data and analytical findings Create dashboards, reports, and automated investigator tools Present statistical conclusions and actionable business recommendations Requirements:
Typically seven or more years of relevant experience Master’s degree or bachelor’s degree with extensive experience In-depth knowledge of financial crimes and fraud modalities In-depth statistical analysis and human behaviour modeling knowledge Strong data mining, communication, and problem-solving skills Bring fraud analytics, Python, SQL, and investigative data expertise to BMO’s Toronto-based risk detection team.
Analyze customer and employee data for criminal behaviours Develop fraud detection rules, scenarios, models, and metrics Support investigations with data and analytical findings Create dashboards, reports, and automated investigator tools Present statistical conclusions and actionable business recommendations Requirements:
Typically seven or more years of relevant experience Master’s degree or bachelor’s degree with extensive experience In-depth knowledge of financial crimes and fraud modalities In-depth statistical analysis and human behaviour modeling knowledge Strong data mining, communication, and problem-solving skills Bring fraud analytics, Python, SQL, and investigative data expertise to BMO’s Toronto-based risk detection team.