Senior Manager, Machine Learning Operations

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

Job summary

A leading financial institution in Ontario seeks a Senior Manager for Machine Learning Operations. The role focuses on enhancing data infrastructure and analytics for credit risk. Candidates should have a strong background in data analysis with experience in Python and SQL, as well as a Bachelor's degree in a quantitative field. Competitive compensation and benefits are offered.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Opportunities for professional growth

Qualifications

• 3-5 years of professional experience as a data analyst, preferably in retail credit risk.
• Experience working with large-scale data warehouses and query languages such as SQL.
• Solid understanding of retail credit principles, credit risk analytics, or consumer lending preferred.

Responsibilities

• Partner with credit strategists and data experts to unlock insights from data.
• Design and maintain scalable data pipelines and infrastructure.
• Develop dashboards to visualize credit performance and risk metrics.

Skills

Python

SQL

Data analysis

Data visualization

Analytic problem-solving

Education

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

Tools

Pandas

NumPy

scikit-learn

Snowflake

BigQuery

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?

• 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

RBC is committed to an inclusive workplace that has diverse perspectives. 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.

Equal Opportunity Employment: RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.