Data Scientist (GCS)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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.

Job Title

Data Scientist (GCS)

Job Description

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?

Must have

• PhD. or Masters in in quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology or Psychology).
• Advanced programming skills 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

Job Summary

Address:

TORONTO, Ontario, Canada

City:

CAN-ON-TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Technology and Operations

Job Type:

Regular

Pay Type:

Salaried