Staff Data Scientist (Global Security)

RBC; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

RBC in Toronto seeks a Staff Data Scientist to lead development and deployment of advanced machine learning models for fraud, cybersecurity, and data privacy. You will collaborate with cross-functional teams to translate insights into strategies that protect clients and RBC data.

Within JSOC, leverage large datasets and state-of-the-art ML and statistical methods to deliver production-grade solutions and drive meaningful business impact in a fast-paced banking environment.

Qualifications

• Advanced degree in a quantitative field with strong theoretical foundation.
• Proven expertise developing and deploying complex ML models, including deep learning.
• Proficient Python and PySpark programming and big data technologies.
• Ability to translate technical concepts into actionable business insights.

Responsibilities

• Lead development and deployment of advanced ML models for fraud, cybersecurity, and data privacy.
• Design and implement end-to-end data pipelines from data cleaning to production code.
• Mentor junior data scientists and collaborate with cross-functional teams.
• Translate complex insights into actionable strategies for stakeholders.
• Drive production-scale solutions and stay current with research trends.
• Mentor and guide team members on best practices and project execution.

Skills

Python

PySpark

Machine learning

Statistical modeling

Big data

Education

Advanced quantitative degree

Tools

Deep learning

MLops

Cloud platforms

Graph analytics

Job description

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 new 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 privacy


• Design and implement end-to-end data pipelines: from data cleaning to model development to writing production level code


• Lead complex data science projects from inception to completion


• 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


• Mentor and guide junior data scientists

What do you need to succeed?

Must-have

• Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering) with a strong theoretical foundation


• Proven expertise in developing and deploying complex machine learning models, including deep learning architectures, for solving challenging problems


• Highly proficient programming skills (Python, PySpark) and a deep understanding of statistical modeling, data mining techniques, and big data technologies


• Demonstrated ability to translate complex technical concepts into actionable insights and communicate effectively with both technical and non-technical stakeholders


• Passion for innovation and curiosity to explore emerging technologies and methodologies

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


• Experience 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 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


• Flexible work/life balance options


• Opportunities to do challenging work


• Opportunities to take on progressively greater accountabilities


• Access to a variety of job opportunities across business

Job 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: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

2026-09-24

Application Deadline

2026-10-23

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.