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 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
What you need to succeed Must have:
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
Nice to have:
Graduate degree in Mathematics, Statistics, Computer Science or other related areas
Knowledge of Canadian banking and payment industry payments transaction data and financial fraud
What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program
Leaders who support your development and opportunities
Ability to make a difference and lasting impact.
Job Skills Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML),



Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis
Additional Job Details Address:
YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
PERSONAL & COMMERCIAL BANKING
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-08-14
Application Deadline:
2026-08-28
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and prospect for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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