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Data Analytics Specialist
2 weeks ago
We are seeking a skilled Fraud Detection Specialist to join our team. As a key member of our risk management team, you will be responsible for designing, developing, and deploying machine learning models to detect and prevent fraudulent activities.
The ideal candidate will have a strong background in data analytics and experience working with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity.
You will work closely with cross-functional teams to enhance fraud prevention measures and monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.
Responsibilities:
- Design, develop, and deploy machine learning models to detect and prevent fraudulent activities
- Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity
- Utilize data analytics tools and methodologies to conduct in-depth assessments and generate fraud rules and reports on fraud trends
- Collaborate with cross-functional teams to enhance fraud prevention measures
- Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies
Requirements:
- Bachelor's degree in engineering, technology, computer science or related field
- 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field
- Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance
- Strong experience in SQL or Python
- Excellent communication and presentation skills with the ability to convey complex information clearly and concisely
- Detail-oriented with a proactive mindset toward problem-solving and risk mitigation
- Ability to work collaboratively in a cross-functional team environment