Manager, Data and Risk Governance - Fraud Management

Royal Bank of Canada

  • Toronto, ON
  • Permanent
  • Full-time
  • 7 days ago
Job DescriptionWhat's the opportunity?RBC’s detection systems process about 25 million transactions a day and are critical in preventing fraud losses. You will develop and manage Risk/Data Governance controls to support Credit and Fraud Management and contribute to Fraud strategy by ensuring Fraud Management solutions support clients, end users and processes. You will support a portfolio of Credit and Fraud solutions, balancing business objectives and needs of end users to ensure proper functionality in servicing both clients and our team effectively. You will support the Fraud Management pillars, priorities and strategic goals by working with stakeholders to enable cost effectiveness and drive operational efficiencies through thoughtful planning and prioritization.What will you do?
  • Maintain knowledge of policies and procedures of the Chief Data Office, specifically the Enterprise Information Management Policy, and execute on all required processes within these policies
  • Understand how fraud data interconnects through other enterprise domains and lead the development of Data Governance Framework, including data quality, accessibility, security and compliance
  • Apply critical thinking to how to improve this framework with innovative methods and technology, and maintain knowledge of Risk Management policies and procedures, including RTA, PRA, PARA and DRA
  • Maintain relationships with partners in Risk Operations and effectively write and translate technical requirements into appropriate risk language
  • Maintain knowledge of solutions used in Fraud and develop strategies and product roadmaps for enhancements, evolution, consolidation, increased usage, etc.
  • Lead strategic discussions with our partners to understand technologies, capabilities, current and future use cases, etc. and incorporate this information into our roadmap / timelines / strategy
  • Ensure alignment between Fraud and IT-planned improvements to technology solutions and Fraud business technology priorities, and leverage diverse user needs, the marketplace, competition and future trends for the domain or type of product / solution being developed
  • Encourage transparency and collaboration between Fraud IT and Fraud Management to reduce ‘thinking in silos’, identify product opportunities/challenges and recommend solutions
What do you need to succeed?Must-have
  • 3+ years’ experience in risk management, data governance or fraud management
  • 3+ years of business experience, preferably within the financial industry and relevant line of business (i.e. Fraud Operations)
  • Experience working in a technical environment and familiarity with technology infrastructure concepts eg. relational databases, data feeds, data structures, APIs, data models, etc.
  • Proven ability to think big picture strategy and roll-up-your sleeves to deliver
  • Excellent time management skills and demonstrated ability to prioritize workload effectively
  • Ability to operate autonomously in a fast-paced and ambiguous environment
  • Organizational Awareness, and ability to understand and use the workings, structure, climate and culture of the organization to achieve results
Nice-to-have
  • Product Management
  • Knowledge of Agile Methodology
  • Leading Initiatives in a business operations environment
  • Knowledge of ​Fraud products and Fraud-related applications
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
  • Ability to make a difference and lasting impact
  • Opportunity to take on progressively greater accountabilities
Job Skills Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical AnalysisAdditional Job DetailsAddress: YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTOCity: TorontoCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: PERSONAL & COMMERCIAL BANKINGJob Type: RegularPay Type: SalariedPosted Date: 2025-08-27Application Deadline: 2025-09-12Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt 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 opportunity for all.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.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 .

Royal Bank of Canada