
Data-Driven Anti-Fraud Champion
5 days ago
The ideal candidate will play a pivotal role in developing and implementing robust fraud prevention strategies to minimize losses. This individual will be responsible for designing and deploying advanced predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
Key Responsibilities:- Design and deploy predictive analytics models and machine learning algorithms to detect and prevent fraudulent activities.
- Continuously enhance systems to improve detection accuracy, reduce false positives, and optimize overall performance.
- Analyze internal and external data sources to identify vulnerabilities and provide actionable insights to inform strategic decision-making.
- Develop and track key performance indicators (KPIs) to measure the effectiveness of fraud prevention strategies.
- Stay up-to-date on emerging fraud tactics, industry benchmarks, and regulatory changes to inform strategy.
- Conduct competitor analysis to identify opportunities for improvement and best practices.
- Provide market intelligence insights to inform business decisions.
- Build and lead a high-performing team of data analysts, data scientists, and market intelligence specialists.
- Collaborate with risk management, compliance, IT, and other departments to ensure alignment and effective communication.
- Master's degree in data science, statistics, economics, or a related field.
- At least 10 years of experience in fraud analytics, risk management, or data analytics.
- Expertise in data analytics tools such as Python, R, SQL, or SAS.
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Chief Fraud Investigator
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Financial Transactions Coordinator
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Global Regulatory Expert
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Anti-Money Laundering Specialist
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Senior Financial Crime Prevention Specialist
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Senior Web Data Automation Specialist
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