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 explicit documentation on model performance • Contribute to technical standards and best practices

Requirements: • Solid 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. #J-18808-Ljbffr

📌 Lead Data Scientist In Financial Crime Winnipeg
🏢 Mastercard
📍 Winnipeg