Staff Data Scientist, (Global Security)
Top Benefits
About the role
Job Description
What is the opportunity?
As a Staff Data Scientist in Global Security, you will design and implement AI products to assess risks and detect threats. You will provide valuable insights to our business stakeholders to protect RBC clients and data.
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 assets, clients and employees.
What will you do?
- Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, financial crime, 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:
- 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, 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.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
Staff Data Scientist, (Global Security)
Top Benefits
About the role
Job Description
What is the opportunity?
As a Staff Data Scientist in Global Security, you will design and implement AI products to assess risks and detect threats. You will provide valuable insights to our business stakeholders to protect RBC clients and data.
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 assets, clients and employees.
What will you do?
- Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, financial crime, 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:
- 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, 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.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.