AI Fraud Detection Specialist
SKILLS
FULL DESCRIPTION
Summary
Develop AI models to identify fraudulent activities in real-time, analyze transactional data to uncover suspicious patterns, and collaborate with security and compliance teams to implement solutions. Monitor model performance, refine detection algorithms, and communicate insights to stakeholders. The role requires experience with Python, machine learning, and anomaly detection, with a strong understanding of financial systems and data analytics.
Key Responsibilities
- Develop AI models to identify fraudulent activities in real-time.
- Analyze transactional data to uncover suspicious patterns.
- Collaborate with security and compliance teams to implement solutions.
- Monitor model performance and refine detection algorithms.
- Communicate insights and recommendations to stakeholders.
Core Requirements
- Experience with Python, machine learning, and anomaly detection.
- Strong understanding of financial systems and data analytics.
- Excellent analytical and teamwork skills.
- Bachelor’s or Master’s in AI, Finance, or related field.
Responsibilities:
Develop AI models to identify fraudulent activities in real-time. Analyze transactional data to uncover suspicious patterns. Collaborate with security and compliance teams to implement solutions. Monitor model performance and refine detection algorithms. Communicate insights and recommendations to stakeholders.
Requirements:
Experience with Python, machine learning, and anomaly detection. Knowledge of fraud detection tools and techniques is a plus. Strong understanding of financial systems and data analytics. Excellent analytical and teamwork skills. Bachelor’s or Master’s in AI, Finance, or related field.
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