Senior Data Scientist, Fraud Detection & Optimization
Top Benefits
About the role
What is the opportunity?
As a Senior Data Scientist, Fraud Detection & Optimization, you will be responsible for the development and execution of fraud detection strategies using advanced analytical methodologies and techniques. These fraud detection strategies will be applied with the goal of reducing RBC’s Fraud Risk and losses, while maintaining a positive client experience and controlling operating costs. You will innovate and implement novel methodologies to improve detection and efficiency across the team, further automating and streamlining processes. You will contribute to and support a variety of projects and initiatives across Fraud Management and collaborate with multiple stakeholders at varying levels of seniority.
What will you do?
- Implement advanced analytical methodologies and proactively identify opportunities to innovate new techniques for fraud detection strategy creation and process and technology improvements
- Collaborate with Data Science & Innovation on machine learning and artificial intelligence projects that impact fraud detection, document methodology and standardize process to ensure repeatability
- Develop, maintain and optimize fraud detection strategies for non-traditional channels & products, and explore multiple data sources to proactively identify emerging fraud trends and patterns
- Leverage reporting to monitor the performance of existing fraud detection strategies, optimize these strategies and use analytical tools to improve detection strategies, enhancing the tools & techniques
- Prioritize fraud detection alerts across detection platforms, verify that all rule deployments are accurate and ensure a balance between fraud losses, client experience and operational costs
- Contribute to Fraud Management projects and initiatives, provide detection recommendations and implement detection strategies by project deadlines
- Develop Fraud Detection analytics best practices, contribute to the development and implementation of the rule strategy framework and create programming code standards for fraud detection
- Collaborate across the team to ensure best practices are applied, act as a technical resource for other team members and respond to inquiries regarding fraud data and detection strategies
What do you need to succeed?
Must-have
- 3+ years’ experience in analytics or data science related roles, working with large, real-world datasets
- Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: R, SQL, Python etc.)
- Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
- Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to technical and non-technical audiences
- Thought leadership capability to lead complex initiatives and discussions driven by analytical and business insights
- Ability to see the big picture and guide groups with strategic thinking
- Excellent time management skills and demonstrated ability to prioritize workload effectively
- Degree in mathematics, statistics, computer science or related quantitative discipline
Nice-to-have
- Experience with Hadoop, Hive, Spark, Scala or other big-data platform technology/tools
- Knowledge of Canadian banking and payment industry payments transaction data and financial fraud
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.
- Continued career advancement opportunities
- Exposure to strong mentorship and leadership examples
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, and high-performing team
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.
Senior Data Scientist, Fraud Detection & Optimization
Top Benefits
About the role
What is the opportunity?
As a Senior Data Scientist, Fraud Detection & Optimization, you will be responsible for the development and execution of fraud detection strategies using advanced analytical methodologies and techniques. These fraud detection strategies will be applied with the goal of reducing RBC’s Fraud Risk and losses, while maintaining a positive client experience and controlling operating costs. You will innovate and implement novel methodologies to improve detection and efficiency across the team, further automating and streamlining processes. You will contribute to and support a variety of projects and initiatives across Fraud Management and collaborate with multiple stakeholders at varying levels of seniority.
What will you do?
- Implement advanced analytical methodologies and proactively identify opportunities to innovate new techniques for fraud detection strategy creation and process and technology improvements
- Collaborate with Data Science & Innovation on machine learning and artificial intelligence projects that impact fraud detection, document methodology and standardize process to ensure repeatability
- Develop, maintain and optimize fraud detection strategies for non-traditional channels & products, and explore multiple data sources to proactively identify emerging fraud trends and patterns
- Leverage reporting to monitor the performance of existing fraud detection strategies, optimize these strategies and use analytical tools to improve detection strategies, enhancing the tools & techniques
- Prioritize fraud detection alerts across detection platforms, verify that all rule deployments are accurate and ensure a balance between fraud losses, client experience and operational costs
- Contribute to Fraud Management projects and initiatives, provide detection recommendations and implement detection strategies by project deadlines
- Develop Fraud Detection analytics best practices, contribute to the development and implementation of the rule strategy framework and create programming code standards for fraud detection
- Collaborate across the team to ensure best practices are applied, act as a technical resource for other team members and respond to inquiries regarding fraud data and detection strategies
What do you need to succeed?
Must-have
- 3+ years’ experience in analytics or data science related roles, working with large, real-world datasets
- Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: R, SQL, Python etc.)
- Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
- Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to technical and non-technical audiences
- Thought leadership capability to lead complex initiatives and discussions driven by analytical and business insights
- Ability to see the big picture and guide groups with strategic thinking
- Excellent time management skills and demonstrated ability to prioritize workload effectively
- Degree in mathematics, statistics, computer science or related quantitative discipline
Nice-to-have
- Experience with Hadoop, Hive, Spark, Scala or other big-data platform technology/tools
- Knowledge of Canadian banking and payment industry payments transaction data and financial fraud
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.
- Continued career advancement opportunities
- Exposure to strong mentorship and leadership examples
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, and high-performing team
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.