Machine Learning Engineer, Commerce Fraud Risk
4 weeks ago
The Fraud Risk Team supports the commerce fraud risk strategy and merchant risk teams with models and risk indicators to manage the risk key metrics. We collaborate with multiple engineering teams to create the capacity of serving next generation AI solutions.
As a Machine Learning Modeler on the Fraud Risk Team, you will be responsible for developing and implementing machine learning models to detect and prevent fraudulent activities. This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques.
You will:
Develop, implement, and maintain machine learning models for fraud detection.
Analyze large datasets to identify patterns and trends related to fraudulent activities.
Collaborate with cross-functional teams to understand business needs and develop solutions to mitigate fraud risks.
Continuously monitor and evaluate the performance of machine learning models, making adjustments as necessary.
Stay up-to-date with the latest developments in machine learning and fraud detection, and incorporate new techniques and technologies into our processes as appropriate.
Prepare and present reports on model performance and fraud trends to stakeholders.
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