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1 week ago
As a senior fraud analyst, you will play a crucial role in developing and implementing advanced analytics solutions to identify and prevent fraudulent activities.
The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with the ability to communicate complex insights to both technical and non-technical stakeholders.
Key Responsibilities:- Design and deploy predictive models to detect and prevent fraudulent transactions
- Develop and maintain advanced analytics tools and techniques to stay ahead of emerging fraud trends
- Collaborate with cross-functional teams to integrate fraud detection into business processes
- Provide strategic recommendations to leadership on fraud prevention and risk management strategies
- Master's degree in Data Science, Statistics, Economics, Business Administration, or a related field
- 10+ years of experience in fraud analytics, risk management, or data analytics
- Proven track record of developing and implementing successful fraud detection systems
- Expertise in data analytics tools (e.g., Python, R, SQL, SAS)
- Familiarity with machine learning platforms and fraud detection software
- Knowledge of industry-specific regulations and compliance standards
- Strong analytical and problem-solving skills
- Excellent leadership and team-building abilities
- Strategic thinker with strong business acumen
- Effective communicator with the ability to convey complex data insights to non-technical stakeholders
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