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.
