Senior Data Scientist (Global Security)

RBC; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution in Toronto is seeking a skilled Data Scientist to design and implement machine learning products aimed at detecting digital threats. You will leverage large data sets, apply machine learning techniques, and collaborate with various teams to enhance cybersecurity measures. A strong background in quantitative fields and programming expertise is essential for this role. Join a dynamic team dedicated to driving innovation and protecting client data.

Benefits

Comprehensive Total Rewards Program

Competitive compensation

World-class training program

Qualifications

• Degree in Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology.
• Experience developing machine learning models.
• Strong data sense and critical thinking.
• Ability to work cross-functionally.

Responsibilities

• Design and implement end-to-end data pipelines.
• Implement supervised and unsupervised machine learning models.
• Collaborate with business units on innovative solutions.
• Work on research-based initiatives using advanced machine learning.

Skills

Communication

Machine Learning Techniques

Supervised Learning

Unsupervised Learning

Time Management

Teamwork

Education

PhD or Masters in a quantitative field

Tools

Python

PySpark

Job description

Overview

WHAT IS THE OPPORTUNITY?

We have an exciting opportunity in Global Security!

As a data scientist on our team, you will design and implement machine learning products to detect digital and cyber threats. You will provide valuable insights to our business stakeholders to protect 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 Security Insights and AI team, 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.

Responsibilities

• 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 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.)
• 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
• Strong 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

#LI-Post

#LI-PK

#TECHPJ

Job Skills

Job Skills: Communication, Machine Learning Techniques, Supervised Learning, Teamwork, Time Management, Unsupervised Learning

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: 2025-09-24

Application Deadline: 2025-10-15

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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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