Senior Manager, Machine Learning Operations

RBC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading bank in Toronto is seeking a Senior Manager, Machine Learning Operations to enhance data infrastructure supporting credit risk analytics. This role requires strong experience in Python and SQL, along with a background in retail credit risk analysis. The candidate will partner with various teams to unlock insights from complex data sets and ensure compliance with data privacy standards. This full-time position offers competitive compensation within a dynamic and collaborative environment.

Benefits

Comprehensive Total Rewards Program

Bonuses and flexible benefits

Opportunities for professional growth

Qualifications

• 3-5 years of professional experience as a data analyst, preferably in retail credit risk or finance.
• Strong proficiency in Python and familiarity with open source data libraries (e.g., Pandas, NumPy).
• Experience working with large-scale data warehouses and query languages such as SQL.

Responsibilities

• Partner with credit strategists, risk modelers, and data experts to unlock insights from large retail credit datasets.
• Design, build, and maintain scalable data pipelines and infrastructure.
• Support development and validation of credit risk models.

Skills

Client Counseling

Competitive Markets

Critical Thinking

Financial Instruments

Financial Regulation

Investment Risk Management

Long Term Planning

Quantitative Methods

Risk Management

Education

Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field

Tools

Python

SQL

Job description

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?

• 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.

What do you need to succeed?

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.

Nice-to-have

• 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.

What’s in it for you?

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

Job Skills

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: 2026-01-03

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.