Data Scientist (GCS)
City : TORONTO, Ontario, Canada
Category : Technology | Analytics | Research
Industry : Financial/Banking
Employer : RBC
Come Work with Us!
At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.
Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.
WHAT IS THE OPPORTUNITY?
We have an exciting opportunity in Global Cyber Security!
As a data scientist in the team you will design and implement data science / machine learning solutions for detecting Digital and Cyber threats.
Data Science allows us to better understand the implications of what information means, identify trends, anticipate malicious behaviors, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of 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, we 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 domain 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?
PhD. or Masters in quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology or Psychology).
Advanced programming skills (Python) and experience in developing machine learning models using supervised and unsupervised approaches; experience with data preprocessing, feature and representation learning, anomaly/outlier detection, graph solutions.
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 domain/network and information security
Experience in graph analytics and time-series analysis
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
Flexible work/life balance options
Opportunities to do challenging work
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.