Manager, Fraud Research and Analytics

1 week ago

Toronto, Canada Royal Bank of Canada Full time

**Job Summary**

**What is the opportunity?**

**Please Note**:This is a hybrid opportunity for applicants within commuting distance to the York Mills or Downtown office locations in Toronto.

**What will you do?**
- Identify patterns, trends and hidden causation and correlation relationships from Fraud data and advise FM SMT of emerging trends, specific gaps or systemic issues that impact the Fraud Risk of RBC
- Collaborate with appropriate partners for action, correction, awareness and training
- Forecast Financials and Fraud KPI’s using predictive analytics techniques and generate insights for executive decision making and communicating results through insightful visualizations, white papers, reports and presentations
- Research business problems, develop solutions to support investigation and analysis and lead progression of analytics methodology, tools and measurement to create development templates for automation
- Build the foundation of information in consolidated data repositories for Operations, Fraud Events, Fraud Performance and Financials
- Provide a complete picture of the fraud landscape with drill-down capabilities for root cause analysis and deliver self-serve interactive visualizations through accessible platforms like Tableau
- Conduct Code Reviews and develop standards for Development practices and partner with project teams to support information required for analysis of the current state
- Deliver Project Reporting for Fraud Events, Performance, Operational and Financial KPI’s and KRI’s and Program Benefits measurements to track success criteria of the Project Business Case

**What do you need to succeed?**

**Must-have**
- 2+ years’ experience in a Data science and analytics
- Advanced capability in using Python, R, PySpark, SAS, SQL and Tableau
- Experience with Databases and Data Structures (RDBMS, Hadoop etc.)
- Ability to multi-task and prioritize and complete projects effectively and in a timely manner
- Strong team player with a track record of collaboration and experience working as part of an agile team
- Professional verbal and written communication and presentation skills, and ability to provide consultation, analysis, and recommendations on a broad range of projects in a deadline driven environment with ambiguity

**Nice-to-have**
- Good understanding of Canadian Financial Institutions, with a focus on Fraud/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.
- Fair compensation
- 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

**Job Skills**

Base SAS, Big Data Management, Data Science, Decision Making, Hadoop Distributed File System (HDFS), Hadoop Ecosystem, Machine Learning, Predictive Analytics, PySpark, Python (Programming Language), Relational Database Development, R Programming, SAS Enterprise Guide, Statistical Analysis, Structured Query Language (SQL), Tableau (Inactive)

**Additional Job Details**

**Address**:
YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTO

**City**:
TORONTO

**Country**:
Canada

**Work hours/week**:
37.5

**Employment Type**:
Full time

**Platform**:
Personal and Commercial Banking

**Job Type**:
Regular

**Pay Type**:
Salaried

**Posted Date**:
2024-01-30

**Application Deadline**:
2024-02-10

**I**nclusion** 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.

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