
Fraud Analytics Career Opportunity
2 weeks ago
Fraud analytics is a critical component of any organisation, helping to detect and prevent fraudulent activities. As a fraud analytics analyst, you will play a key role in identifying suspicious patterns and anomalies in data.
Responsibilities:
- Develop and implement data-driven insights to identify potential fraudulent behaviour.
- Work with cross-functional teams to design and improve fraud prevention strategies.
- Build and maintain dashboards, reports, and insights to support fraud investigation and business decisions.
- Monitor fraud trends and propose enhancements to detection methodologies.
Qualifications:
- 0–6 months of experience in a related field.
- Strong proficiency in SQL and Python.
- Quantitative background in engineering, statistics, math, economics, or related disciplines.
- Strong analytical mindset and problem-solving skills.
Benefits:
This role offers the opportunity to work with large datasets and contribute to the development of fraud prevention strategies. As a fraud analytics analyst, you will have the chance to work with cross-functional teams and build strong relationships with colleagues.
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