ML Ops Product Owner — Credit Risk Production

RBC; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Senior Manager, Machine Learning Operations Product Owner. In this role, you will lead the deployment of innovative retail credit risk models and strategies using advanced data engineering skills. You will also collaborate closely with data science and engineering teams, ensuring robust and compliant data workflows. The position offers a dynamic work environment emphasizing both technical and strategic contributions to the future of credit analytics.

Benefits

Comprehensive Total Rewards Program including bonuses and flexible benefits

Opportunity to influence credit decisions

Agile, collaborative, high-performing team environment

Qualifications

• 5+ years of experience in financial services, preferably in risk management, credit analytics, or product ownership.
• Hands-on experience with large-scale data management or ETL pipelines.
• Proven experience working across business, data science, and engineering teams.

Responsibilities

• Implement and support models on the IBM Watson platform.
• Build and maintain production-grade data workflows.
• Guide IT implementation team and own product backlog.

Skills

Business Data Analysis

Communication

Credit Analysis

Database Queries

Data Visualization

Decision Making

Long Term Planning

Operational Delivery

Quantitative Methods

Risk Management

Education

Degree in Computer Science, Engineering, Mathematics, Statistics or related field

Tools

Python

SQL

PySpark

IBM Watson

Cloud-based data platforms (e.g., Snowflake, BigQuery)

Job description

A leading financial institution in Toronto is seeking a Senior Manager, Machine Learning Operations Product Owner. In this role, you will lead the deployment of innovative retail credit risk models and strategies using advanced data engineering skills. You will also collaborate closely with data science and engineering teams, ensuring robust and compliant data workflows. The position offers a dynamic work environment emphasizing both technical and strategic contributions to the future of credit analytics.