Operations Officer I - Bank

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.

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.

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., 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
Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management

Full time Platform:
GROUP RISK MANAGEMENT Job Type:
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.