What is the opportunity?
We have an exciting opportunity in Global Cyber Security!Job Description
We have an exciting opportunity in Global Cyber Security! As a Staff Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats. You will collaborate closely with cross-functional teams to translate complex technical insights into actionable strategies, driving significant business impact and safeguarding RBC clients and data.Data Science allows us to identify trends, anticipate malicious behaviors, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of the Joint Security Operations Center (JSOC), you’ll specialize in taking full advantage of large data sets to explore and discover current insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, you will apply machine learning and statistical modelling techniques to help RBC to proactively defend its digital information.What will you do?
Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, cybersecurity, and data privacyDesign and implement end-to-end data pipelines: from data cleaning to model development to writing production level codeLead complex data science projects from inception to completionQuickly learn new methods,



big data tools and technologies presented in research communities to implement and adapt within our data products and modelsCollaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutionsWork on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomesMentor and guide junior data scientistsWhat do you need to succeed?
Must-have
Advanced degree in a quantitative field (e.G., Computer Science, Mathematics, Statistics, Engineering) with a strong theoretical foundationProven expertise in developing and deploying complex machine learning models, including deep learning architectures, for solving challenging problemsHighly proficient programming skills (Python, PySpark) and a deep understanding of statistical modeling, data mining techniques, and big data technologiesDemonstrated ability to translate complex technical concepts into actionable insights and communicate effectively with both technical and non-technical stakeholdersPassion for innovation and curiosity to explore emerging technologies and methodologiesNice-to-have
Previous experience in cybersecurity/fraud domainsExperience with MLOps to build end-to-end pipeline and deploying models in productionExperience with graph analyticsExperience with cloud platforms (AWS, Azure, GCP)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 including bonuses and flexible benefits,



competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamFlexible work/life balance optionsOpportunities to do challenging workOpportunities to take on progressively greater accountabilitiesAccess to a variety of job opportunities across businessJob Skills
Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job Details
Address
16 YORK ST:TORONTOCity
TorontoCountry
CanadaWork hours/week
37.5Employment Type
Full timePlatform
TECHNOLOGY AND OPERATIONSJob Type
RegularPay Type
SalariedPosted Date
2026-09-24Application Deadline
2026-10-23Note
Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur 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 opportunity for all.
#J-18808-Ljbffr

📌 Staff Data Scientist (Global Security) (Winnipeg)
🏢 RBC
📍 Winnipeg