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About the Role

As a Senior Data Scientist, 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 behaviours, 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.

Responsibilities

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

Requirements

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
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)

Skills

Artificial Intelligence (AI)
Big Data Analytics
Computer Science
Cybersecurity
Data Mining
Data Processing
Data Science
Decision Making
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Predictive Analytics
Python (Programming Language)
Statistical Models
Structured Query Language (SQL)

Location

Toronto, Canada

Work Type

Full time

Experience Level

Senior

Education Level

Advanced degree in a quantitative field

Benefits

A comprehensive Total Rewards Program including bonuses and flexible benefits
competitive compensation
commissions
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
Flexible work/life balance options
Opportunities to do challenging work

About the Company

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.