Manager, Quantitative Analytics & Monitoring

RBC; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Quantitative Analyst to provide data-driven insights that influence strategic decisions. You will collaborate with Credit and Fraud Management teams, delivering actionable business intelligence and contributing to AI transformation initiatives. The role requires strong analytical skills, experience with SQL, Python, R, and a passion for analytics within a diversity-focused environment. Comprehensive rewards program and opportunities for growth are included.

Benefits

Comprehensive Total Rewards Program

Opportunity for professional development

Collaborative work environment

Qualifications

• 2+ years of analytics experience within Business Analytics, Consulting or Technology.
• Experience with Data Science/Analysis tools like SQL, Python, R, and Tableau.
• Proven ability to provide strategic advisory and collaborate with stakeholders.

Responsibilities

• Collaborate with partners to understand core business goals.
• Deliver business insights for strategic and operational decisions.
• Develop and test hypotheses on data models.

Skills

Business acumen

Communication

SQL

Python

R

Tableau

Education

University degree in a quantitative field

Tools

Data Science/Analysis tools

Complex relational databases

Job description

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

Artificial Intelligence (AI), Business Analytics, Business Insights, Data Mining, Data Science, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Programming Languages, Python (Programming Language), 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: 2026-01-27

Application Deadline: 2026-02-10

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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.