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Job Description
What is the Opportunity?
We are seeking a Senior Manager, Machine Learning Operations to join our Retail Credit Strategies and Modeling Infrastructure team. This role will be instrumental in shaping and enhancing the team’s data infrastructure to support credit risk analytics and strategic decision making in retail credit as part of Retail Credit AI and Digital Transformation Agenda.
This position offers a unique opportunity to influence retail credit models and strategies by leveraging data and analytics while helping to establish a robust data foundation for the team.
What will you do?
Must-have
We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management
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:
GROUP RISK MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-10-01
Application Deadline:
2026-01-31
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.
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</a/span>
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.
What is the Opportunity?
We are seeking a Senior Manager, Machine Learning Operations to join our Retail Credit Strategies and Modeling Infrastructure team. This role will be instrumental in shaping and enhancing the team’s data infrastructure to support credit risk analytics and strategic decision making in retail credit as part of Retail Credit AI and Digital Transformation Agenda.
This position offers a unique opportunity to influence retail credit models and strategies by leveraging data and analytics while helping to establish a robust data foundation for the team.
What will you do?
- Partner with credit strategists, risk modelers, and data experts to unlock insights from large, complex retail credit datasets
- Design, build, and maintain scalable data pipelines and data infrastructure to support ongoing analytics and modeling efforts.
- Use Python and SQL to write optimized queries, manipulate data, and automate reporting
- Develop dashboards and reporting tools to visualize credit performance, risk metrics, and portfolio trends.
- Collaborate with data engineering teams to enhance data quality, governance, and accessibility
- Support the development and validation of credit risk models and contribute to credit strategy formulation.
- Ensure compliance with data privacy and regulatory standards related to consumer credit data.
Must-have
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- 3-5 years of professional experience as a data analyst, preferably in retail credit risk, finance, or a related domain.
- Strong proficiency in Python and familiarity with open source data libraries (e.g., Pandas, NumPy, scikit-learn).
- Experience working with large-scale data warehouses and query languages such as SQL.
- Familiarity with cloud-based data platforms (e.g., Snowflake, BigQuery) and data visualization tools.
- Solid understanding of retail credit principles, credit risk analytics, or consumer lending preferred.
- Strong analytic and problem-solving skills, with attention to detail and data accuracy.
- Experience building or maintaining data infrastructure and analytics frameworks within credit or financial services.
- Knowledge of credit scoring, risk modeling, or behavioral analytics.
- Ability to communicate analytic findings effectively to stakeholders with diverse technical backgrounds.
We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed 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, competitive compensation
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to take on progressively greater accountabilities
Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management
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:
GROUP RISK MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-10-01
Application Deadline:
2026-01-31
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.
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</a/span>
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.
Key Skills
Ranked by relevance
python
data visualization
machine learning
pandas
cloud
numpy
sql
ai
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- Posted
- Jan 20, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Toronto
- Company
- RBC
Industries
Banking
Financial Services
Categories
Engineering
Information Technology
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2026-06-13
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