Address
Form of workJob Summary
Job Description
What's the opportunity?
You will lead a team of Data Scientists and Fraud Analysts in applying advanced methodologies to develop effective and balanced Fraud Detection and client treatment strategies across products and channels. You will work with Fraud Data Science & Analytics (DSA), Fraud Strategy, Operations and IT teams, to optimize and balance performance across the fraud pillars - fraud loss, operating cost, client experience and risk framework. You will improve our ability to leverage technologies and data streams to enhance real-time decisioning capabilities. You will ensure effective fraud prevention and detection rules across several decision engines, and appropriate resourcing across product squads.
Please Note: This role is available at various locations nation-wide.
What will you do?
- Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program through a best-in-class suite of fraud rules and predictive models
- Develop and implement standards, routines and monitoring to improve overall efficiency and effectiveness of the team,
- Explore new analytic solutions, technologies and methodologies to enhance the bank's position as a global leader in the fraud industry
- Collaborate effectively with partners in Fraud IT on the continuous improvement of the fraud decisioning ecosystem
- Maintain a strong/collaborative relationship with Fraud Strategy and Operations in product squads, focused on highlighting emerging fraud risks and developing cross-discipline approaches to mitigate fraud
- Ensure all functions (applications and procedures) within the team are carried out in a risk conscious manner, and key audit controls and information security controls are consistently satisfied
- As an expert in data and Fraud Detection, support Fraud Management's strategic priorities and various analytic exercises and data extractions
What you need to succeed
Must have:
- 5+ years of experience in data science, machine learning, data mining or statistics
- Degree in Mathematics, Statistics, Computer Science or other related field
- Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
- Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: SAS, R, SQL, Python etc.)
- Demonstrated experience working with big data technologies (Hadoop, Hive, Apache Spark etc)
- Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences
- Demonstrated leadership capabilities and proven ability to lead data analytics teams
- Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
- Applicants from Quebec need to be bilingual in French and English - required to communicate with teams located across Canada
Nice to have:
- Graduate degree in Mathematics, Statistics, Computer Science or other related areas
- 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.
- A comprehensive Total Rewards Program
- Leaders who support your development and opportunities
- Ability to make a difference and lasting impact.
Job Skills
Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical AnalysisAdditional Job Details
Address:
City:
Country:
Work hours/week:
Employment Type:
Platform:
Job Type:
Pay Type:
Posted Date:
Application Deadline:
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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
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 jobs.rbc.com.
