Senior Data Scientist, (Global Security)
About The Position
We have an exciting opportunity in Global Security! As a Senior Data Scientist on our Security Insights and AI team, you will contribute to building RBC's next-generation intelligent defense systems. You will design and deploy advanced machine learning solutions that anticipate and detect digital and cyber threats. Leveraging cutting-edge AI techniques, statistical modeling, and large-scale data analytics, you'll work to deliver enterprise-grade threat detection systems that automate complex security operations, accelerate our defensive readiness, and set new standards for digital protection and organizational resilience.
Requirements
- At least an undergraduate degree (PhD. or Masters preferred) in a quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology etc.)
- 2-5 years of experience with 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 Haves
- Previous experience in cybersecurity/fraud domains
- Experience with MLOps to build end-to-end pipeline and deploying models in production
- Experience with graph analytics
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
- 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
Benefits
- bonuses
- 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
- Opportunities to do challenging work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
