Senior Data Scientist, Fraud Applied AI and Innovation
About The Position
This role involves applying machine learning, artificial intelligence, and advanced analytical methodologies to support Fraud Management's key priorities. The work will focus on developing predictive models for improving fraud detection capabilities, optimizing existing productivity tools, creating automated workflows to replace manual processes, and designing innovative solutions to complex problems. The Senior Data Scientist will represent the Applied AI & Innovation team as a Subject Matter Expert (SME) on projects and initiatives across Credit & Fraud Management (CFM), collaborating with multiple stakeholders. They will also assist in developing best practices for analytical processes.
Requirements
- 2+ years of experience in machine learning, data mining, and statistics, ideally applied to fraud detection or risk analytics
- Strong ability to analyze large datasets and present actionable insights to diverse stakeholders
- Proficiency in Python, SQL, and ML frameworks
- Experience with big data platforms and version control systems (Git)
- Excellent communication skills with the ability to translate complex analytical findings to both technical and non-technical audiences
- Strong time management skills and ability to manage multiple projects simultaneously
- Degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering, or related field) with strong problem-solving skills
Nice To Haves
- Knowledge of Canadian banking and payment industry, payments transaction data and financial fraud
- Experience with containerization and orchestration platforms (Docker, Kubernetes, OpenShift)
- Prior experience in fraud detection data analytics
- Experience with model explainability tools and fairness/bias testing in models
Responsibilities
- Develop and deploy machine learning models for real-time and batch fraud detection following all model development standards
- Contribute to the ML strategy for Credit & Fraud Management, integrate models into the detection ecosystem, and continuously monitor and optimize model performance
- Partner with Detection Analytics and Governance teams to incorporate feedback and communicate changes that impact fraud detection workflows
- Design and implement automated data pipelines to replace manual fraud review processes, leveraging modern ML frameworks
- Identify opportunities and develop automated pipelines to replace or enhance existing processes, utilizing the full suite of available technology and tools to build the most effective solution
- Provide thought leadership on data analytics and machine learning to support fraud management priorities and deliver strategic initiatives
- Conduct deep data exploration ensuring data quality and governance
Benefits
- A comprehensive Total Rewards Program
- Leaders who support your development
- Ability to make a difference and lasting impact
- Opportunity to take on progressively greater accountabilities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
