What is the opportunity?
Fraud Management is accountable for the identification, assessment, mitigation and control of fraud risks for the Enterprise.
Within Fraud Management, the Fraud Data Science & Analytics (FDSA) - Detection Analytics team is responsible for developing and optimizing fraud detection strategies to maximize operational effectiveness and minimize client impacts. You will deliver analytics in support of planning and enabling sound business decisions. You will be part of a team accountable for coordination, development and deployment of best-in-class information packages for on-demand analytics and business insights to support development of Fraud strategy and Executive decision-making.
What will you do?
Partner with stakeholders to define KPI’s for the business and deliver clear and timely packages on the four fraud information categories - Operations, Fraud Events, Fraud Performance and Financials.
Develop consolidated information repositories from various RBC data sources, including CAMPS, EDW, HADOOP.
Deliver self-serve interactive visualizations forming a complete picture of the fraud landscape with drill-down capabilities for researching business issues, investigations and root cause analysis.
Develop leadership dashboards for consolidated Fraud losses of all portfolios and Forecasts based on specific drivers for each line of business; provide Aggregation and Insights for driving business decisions.
Identify patterns/trends and uncover hidden relationships (causation and correlation) from Fraud information.
Generate insights for Executive direction and decision making that clearly recognize the quantifiable value considering trade-offs between and among choices; communicate results and educate others through insightful visualizations, white papers, reports, and presentations.
Support Operations with Capacity planning and Fraud Strategy by co-relating data from various events and products, geographical locations and all relevant measures.
Participate in discussions around analytics methodology, tools, measurement, as well as projects for future-state information requirements, providing consultation to Technology and IT teams on data structure and repositories.
What do you need to succeed?
2+ years of analytics experience, with advanced knowledge of R, Python, SQL / SAS and BI tools like Tableau and PowerBI.
Experienced in explaining data and analytics concepts and their business value to non-technical team members.
Ability to effectively deal with ambiguity, provide consultation and recommendations on a broad range of projects in a deadline driven environment.
Proven ability to multi-task and prioritize/complete projects in a timely manner.
Strong team player with a track record of collaboration and experience working as part of an agile team.
Excellent verbal and written communication and presentation skills.
Effective analytics and problem solving skills.
Excellent organizational and time management skills, a strong business presence and ability to work with minimal or no supervision.
Strong relationship-building skills and ability to interact with clients, colleagues and the wider community.
Good understanding of Canadian Financial Institutions, including Fraud and Risk Operations.
Degree in mathematics, statistics, economics, computer science, software engineering or related quantitative field.
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.
Challenging work in a fast-paced timeline driven work environment
Ability to make a difference and lasting impact
Work with a great and supportive team