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The Advanced

Analytics and AI team is the central hub of data science and AI expertise within CIBC and is leading the way to apply the best practices in predictive science, machine learning, artificial intelligence and leverage the latest in big data technology platforms. We also engage with the leading academic & research institutes in the space of AI and machine learning to promote the exchange of latest technology developments and enrich our talents. Reporting to the Senior Director, Advanced Analytics & AI, you'll support CIBC US Fraud by monitoring and reporting on the performance of existing fraud detection models, including models developed internally and by external vendors.

As a Data Scientist, Model Performance Monitoring and Reporting, you'll apply your SQL, Python and statistical knowledge to assess model performance, identify changes and communicate findings to business partners, supporting ongoing oversight and compliance requirements.At CIBC we enable the work setting most optimal for you to thrive in your role you'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.Monitor model performance. Apply statistical methods to measure and track the performance of existing fraud detection models. Investigate changes in results, identify potential performance concerns and prepare accurate, timely reporting to support business oversight.Develop reliable monitoring processes.

Use SQL and Python to access, prepare and analyze data, calculate performance measures and develop reusable code. Contribute to automated monitoring pipelines and the transition from existing SAS processes to Databricks.Apply your understanding of model development,



evaluation and deployment to interpret monitoring results and connect findings to how models were developed and are used.Work directly with US Fraud partners to understand monitoring needs, explain statistical findings clearly and communicate issues that require further investigation or action.Work with fellow data scientists and technical leads to strengthen monitoring practices, document processes and support continuity across the team. SQL and Python.

You can write code to query, combine, prepare and analyze data, with an emphasis on accuracy, readability and repeatability. You have a strong foundation in statistics, and you understand statistical concepts and can apply them to evaluate model performance, interpret results and investigate changes over time. You understand the model development lifecycle and are familiar with how machine learning models are developed, evaluated, deployed and monitored, and how these stages connect. statistics, mathematics, computer science, engineering or related quantitative discipline, or equivalent practical experience.

You give meaning to data. You communicate clearly and can explain technical concepts to different audiences, ask thoughtful questions and build effective relationships with business and technical partners. We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).We use artificial intelligence tools during the recruitment process.

Advanced

Analytics, Data Analysis, Databricks Platform, Data Science, Machine Learning (ML), Model Development, Model Monitoring, Performance Modeling, Predictive Modeling, Python (Programming Language), Python Automation, Statistics #

📌 Data Scientist, Model Performance Monitoring And Reporting (Winnipeg)
🏢 CIBC
📍 Winnipeg