Senior Manager – Fraud Detection & Optimization
| Company | Royal Bank of Canada |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- 5+ years of experience in data science, machine learning, data mining or statistics
- Degree in Mathematics, Statistics, Computer Science or other related field
- Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
- Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: SAS, R, SQL, Python etc.)
- Demonstrated experience working with big data technologies (Hadoop, Hive, Apache Spark etc)
- Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences
- Demonstrated leadership capabilities and proven ability to lead data analytics teams
- Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
Responsibilities
- 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 carried out in a risk conscious manner, and key audit controls and information security controls are consistently satisfied
- As an expert in data and fraud detection, support Fraud Management’s strategic priorities and various analytic exercises and data extractions
Preferred Qualifications
- Graduate degree in Mathematics, Statistics, Computer Science or other related areas
- Knowledge of Canadian banking and payment industry payments transaction data and financial fraud