WHAT IS THE OPPORTUNITY?

We have an exciting opportunity in Global Security!

Job Description

As a Senior Data Scientist on our Security Insights and AI team, you will contribute to building RBC's next-generation intelligent defense systems. You will design and deploy advanced machine learning solutions that anticipate and detect digital and cyber threats. Leveraging cutting-edge AI techniques, statistical modeling, and large-scale data analytics, you'll work to deliver enterprise-grade threat detection systems that automate complex security operations, accelerate our defensive readiness, and set new standards for digital protection and organizational resilience.

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 privacy

- Design and implement end-to-end data pipelines: from data cleaning to model development to writing production level code
- Implement supervised and unsupervised machine learning models, data mining methods, statistical analysis, and pipelines to prepare and integrate various data types and sources
- Quickly learn new methods, big data tools and technologies presented in research communities to implement and adapt within our data products and models
- Collaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutions
- Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes

WHAT DO YOU NEED TO SUCCEED?

Must have

- At least an undergraduate degree (PhD.



or Masters preferred) in a quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology etc.)
- 2-5 years of experience with advanced programming skills (python, pyspark) and experience in developing machine learning models using supervised and unsupervised approaches; experience with data preprocessing, feature and representation learning, anomaly/outlier detection
- Strong data sense, critical thinking, and technical documentation skills
- A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others
- Solid communication skills with ability to work cross-functionally to articulate, measure and solve issues

Nice-to-have

Previous experience in cybersecurity/fraud domains

- Experience with MLOps to build end-to-end pipeline and deploying models in production
- Experience with graph analytics

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 applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Opportunities to do challenging work

Additional Job Details

Address

16 YORK ST:TORONTO

City

Toronto

Country

Canada

Work hours/week

37.5

Employment Type

Full time

Platform

TECHNOLOGY AND OPERATIONS

Job Type

Regular

Pay Type

Salaried

Posted Date

Application Deadline

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 opportunity for all.

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📌 Senior Data Scientist, (Global Security) (Toronto)
🏢 RBC
📍 Toronto