Data Fraud Specialist
1 day ago
Our organization is seeking a highly skilled Fraud Data Analyst to join our team. As a key member of the fraud analytics department, you will be responsible for designing and deploying predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
This role requires strong analytical and problem-solving skills, as well as excellent leadership and team-building abilities. The ideal candidate will have a master's degree in data science, statistics, economics, business administration, or a related field, and at least 10 years of experience in fraud analytics, risk management, or data analytics.
The successful candidate will have proven track record of developing and implementing fraud detection systems, and experience with market intelligence tools and competitive analysis. They will also have expertise in data analytics tools such as Python, R, SQL, and SAS, as well as familiarity with machine learning platforms and fraud detection software.
Key responsibilities include:
- Developing and deploying predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
- Enhancing systems to improve detection accuracy and reduce false positives.
- Analyzing internal and external data sources to identify vulnerabilities and recommend proactive measures.
- Defining and tracking key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.
The ideal candidate will be a strategic thinker with strong business acumen, and an effective communicator who can convey complex data insights to non-technical stakeholders. If you are a detail-oriented professional with a passion for data-driven decision-making, we encourage you to apply for this exciting opportunity.
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Data Protection Specialist
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AI Model Trainer and Data Specialist
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Analytical Transactions Specialist
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SAP Master Data Governance Expert
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Senior Data Extraction Specialist
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Data Transformation Specialist
5 days ago
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