
Senior Fraud Analytics Specialist
4 days ago
As a seasoned professional in the field of fraud analysis, you will contribute significantly to the effectiveness of our investigation tools, data processes, and reporting.
Key Responsibilities:
- Deliver advanced analytics solutions with a focus on data science and statistical techniques.
- Develop and deploy sophisticated models for fraud detection and prevention.
- Utilize machine learning algorithms and natural language processing techniques to drive business insights.
- Present complex information using data visualization techniques to support key decisions.
Key Skills and Qualifications
- Master's degree in Statistics, Economics, or Engineering, or equivalent experience in Data Science.
- Proficiency in Python, R, SQL, MS Excel, and database management.
- Excellent analytical, problem-solving, and communication skills.
- Proven track record of delivering high-impact projects and working collaboratively as part of a cross-functional team.
Benefits
Opportunities for growth and professional development within a dynamic and innovative organization.
Other Requirements
Collaborate effectively with diverse stakeholders, including operational agents, risk managers, analysts, and subject matter experts.
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