Join Mastercard as a Lead Data Scientist focusing on Financial Crime in Toronto, Canada. Contribute to anti-money laundering initiatives by designing robust machine learning models for transaction data.
In this hybrid role, you will collaborate with a Principal Data Scientist and a Director of Data Science. You'll lead the development of AML models while analyzing large-scale payments data to mitigate risks associated with fraud and illicit activities. Your technical expertise will guide the team, ensuring effective end-to-end solutions.
Key Responsibilities:
• Develop AML models for detecting anomalous transaction behaviors
• Analyze payments data to identify patterns of illicit activity
• Collaborate with engineering teams for model deployment




• Produce transparent documentation on model performance
• Contribute to technical standards and best practices
Requirements:
• Robust expertise in Python and data science libraries
• Proven experience in deploying machine learning models
• Familiarity with distributed data platforms
• Effective communication across teams
• Bachelor's degree in a relevant field or equivalent experience
Drive impactful solutions against financial crime using advanced data science techniques at Mastercard.
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📌 Lead Data Scientist In Financial Crime Toronto
🏢 Mastercard
📍 Toronto