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Fraud Analyst
EnebaJob Location
Salary Range
Job Summary
Eneba is seeking a Fraud Analyst to join their team in Lithuania. The successful candidate will be responsible for detecting and preventing fraudulent transactions on the company's e-commerce marketplace. They will utilize advanced tools and techniques to analyze large data sets, identify patterns and anomalies, and provide regular reports and updates on fraud trends. The ideal candidate has 2+ years of experience in fraud detection and prevention roles, preferably in the gaming or e-commerce industry. They should have strong quantitative and analytical skills, excellent written and verbal communication skills, and a good level of SQL knowledge. Eneba offers a competitive salary range of €35,000 - €45,000 per year, as well as various benefits such as employee stock options, bonus systems, paid volunteering opportunities, and flexible work arrangements.
Responsibilities
- Facilitate the development and implementation of fraud prevention strategies in line with the overall business strategic directions while ensuring Eneba’s stable growth.
- Utilise advanced tools and techniques to analyze large data sets and identify patterns and anomalies indicative of fraudulent activity.
- Provide regular reports and updates on fraud trends, mitigation strategies, and performance metrics.
- Identify opportunities to optimize fraud management processes and reduce operational costs.
- Collaborate with other teams such as finance, customer support, product development, marketing, etc. to address fraud-related challenges and opportunities.
- Collaborate with data analysts and engineers to ensure data accuracy, completeness, and consistency.
- Perform ad-hoc analysis and research to answer specific business questions and support decision-making.
Requirements
- 2+ years of experience in fraud detection and prevention roles, preferably in the gaming or e-commerce industry.
- Experience with top-upproducts, like gift cards or e-money vouchers.
- Good level of SQL with an ambition to improve.
- Strong quantitative and analytical competency.
- Excellent written and verbal communication skills, ability to present complex information in an easily understandable way.
- Strong knowledge of fraud detection and prevention methods and tools.
- Strong problem-solving skills and ability to operate in an uncertain, fast-paced environment where priorities might change.