Job Summary

Job Description

What is the opportunity?

The Quantitative Analytics & Monitoring (QAM) team solves strategic problems in support of Credit & Fraud Management. We leverage data to influence strategies, measure the impact of business decisions and pull together the top line story of the impact of our business.

Our deliverables provide business leaders and senior management with analysis and insights on trends and overall performance, ensuring optimized performance and mitigating risks. You will work with people who are passionate about analytics and thrive in a diverse and inclusive culture.

What will you do?

Collaborate with Credit and Fraud Management partners to understand core business goals and help achieve results through a data driven approach

Responsibility for delivering business insights for strategic and operational decisions using reporting tools

Development and testing of hypotheses on data and data models

Opportunity to contribute towards AI transformation and broader innovation initiatives

What do you need to succeed?

Must Have:

Business acumen, curiosity, good communication, and strong technical skills

2+ years of analytics related experience within Business Analytics, Consulting or Technology

2+ years’ experience with Data Science/Analysis tools, including SQL, Python, R and Tableau

Experience with complex, large-scale relational databases, with an aptitude to adopt new emerging technologies

Proven ability to provide strategic advisory and leadership, collaborating with stakeholders to align business and data requirements

Nice to Have:

University degree in a quantitative field

Leadership experience

Experience with Retail and/or Commercial Banking products

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

The opportunity to learn about the business models across both Personal and Commercial Banking and take on progressively greater accountabilities

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in an agile, collaborative, progressive, and high-performing 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 (Software)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-07-23

Application Deadline:

2025-08-08

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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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.