AML Data Scientist

I am working with a consulting firm looking for a Data Scientist to design, implement, and evaluate fraud detection models, ensuring their effectiveness in identifying anti-money laundering activities and financial crimes. The role involves leveraging advanced machine learning, predictive analytics, and AI techniques to analyze high-dimensional data and uncover potential risks. You will collaborate with clients to review models, validate their functionality, and enhance their performance. Key Responsibilities: Develop and maintain fraud detection and anti-money laundering models using machine learning, AI, and predictive analytics. Apply statistical modeling, algorithms, and data mining techniques to solve complex problems. Analyze and manipulate large-scale, high-dimensional datasets from diverse sources. Identify analytics-based insights to flag potential concerns and risks. Collaborate with clients to ensure models align with business needs and compliance standards. Qualifications: Proficiency in Python, SAS, and other machine learning tools. Strong experience in predictive analytics and AI-driven solutions. Expertise in analyzing complex datasets and applying advanced statistical methods. Excellent problem-solving and communication skills.

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