Verified Job
IT / Software / Data Analyst
Senior Manager, Fraud Detection & Optimization- job post Royal Bank of Canada
IT / Software / Data Analyst
#804382
Remote / WFH
Royal Bank of Canada
Job Description
Full job description
Job Description
What's the opportunity?
You will help lead a team of Data Scientists and Fraud Analysts in applying advanced methodologies to develop effective and balanced fraud detection and client treatment strategies across products and channels. You will work with Fraud Data Science & Analytics (DSA), Fraud Strategy, Operations and IT teams, to optimize and balance performance across the fraud pillars - fraud loss, operating cost, client experience and risk framework. You will improve our ability to leverage technologies and data streams to enhance real-time decisioning capabilities. You will ensure effective fraud prevention and detection rules across several decision engines, and appropriate resourcing across product squads.
What will you do?
Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program through a best-in-class suite of fraud rules and predictive models
Develop and implement standards, routines and monitoring to improve overall efficiency and effectiveness of the team,
Explore new analytic solutions, technologies and methodologies to enhance the bank’s position as a global leader in the fraud industry
Collaborate effectively with partners in Fraud IT on the continuous improvement of the fraud decisioning ecosystem
Maintain a strong/collaborative relationship with Fraud Strategy and Operations in product squads, focused on highlighting emerging fraud risks and developing cross-discipline approaches to mitigate fraud
Ensure all functions (applications and procedures) within the team are
Job Description
What's the opportunity?
You will help lead a team of Data Scientists and Fraud Analysts in applying advanced methodologies to develop effective and balanced fraud detection and client treatment strategies across products and channels. You will work with Fraud Data Science & Analytics (DSA), Fraud Strategy, Operations and IT teams, to optimize and balance performance across the fraud pillars - fraud loss, operating cost, client experience and risk framework. You will improve our ability to leverage technologies and data streams to enhance real-time decisioning capabilities. You will ensure effective fraud prevention and detection rules across several decision engines, and appropriate resourcing across product squads.
What will you do?
Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program through a best-in-class suite of fraud rules and predictive models
Develop and implement standards, routines and monitoring to improve overall efficiency and effectiveness of the team,
Explore new analytic solutions, technologies and methodologies to enhance the bank’s position as a global leader in the fraud industry
Collaborate effectively with partners in Fraud IT on the continuous improvement of the fraud decisioning ecosystem
Maintain a strong/collaborative relationship with Fraud Strategy and Operations in product squads, focused on highlighting emerging fraud risks and developing cross-discipline approaches to mitigate fraud
Ensure all functions (applications and procedures) within the team are
