Senior Data Analys Fraud risk
Description
This role at National Bank of Canada, within the Financial Crime team, involves serving as a specialist in data management and modelling for fraud prevention and detection. The position requires performing complex analyses, interpreting data for fraud risk management, defining strategic orientations, making recommendations to reduce losses and optimize operations, and developing/implementing fraud risk management models. The successful candidate will also represent the Bank with various organizations on fraud issues.
What We're Looking For
Perform complex analyses and interpret data to support fraud risk management decision-making,Help define the sector's strategic orientations,Make recommendations to reduce the risk of losses and optimise the efficiency of operations,Develop and implement fraud risk management models,Represent the Bank with various organisations and authorities to ensure proactive management of fraud issues
Ideal Candidate
A completed bachelor's degree and 8 years of relevant experience, or a completed master's degree and 6 years of relevant experience,Mastering data visualisation and modelling techniques (SAS, PowerBI, SQL, Python),Be familiar with banking data warehouses,Experience in fraud risk management
Minimum Education
Bachelor's Degree or Master's Degree
Hard Skills
Soft Skills
Work Hours
Flexible, adaptable schedule
Benefits
Special Commitments
Be available to participate in special projects or committees
About the Company
National Bank of Canada
National Bank of Canada is one of the six systemically important banks in Canada, providing a comprehensive range of financial services to individuals, businesses, and institutional clients. Headquartered in Montreal, it is the leading financial institution in Quebec and holds strong positions across the country and internationally. The bank is committed to a people-first approach, fostering an entrepreneurial culture and sustainable growth for its communities.
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