Fraud Data analyst

We are looking for a Fraud Data Analyst to support fraud detection and risk monitoring across high-scale payment systems. This role focuses on identifying fraud patterns, investigating anomalies, and improving the reliability of payment operations.

You will work with large volumes of transactional data, analyzing fraud signals and supporting the development of detection mechanisms. The role requires a structured, data-driven approach and the ability to respond quickly to emerging risks.

You will collaborate with engineering and payments teams to ensure fraud risks are identified early and mitigated effectively, protecting revenue and maintaining stable relationships with payment providers.

Context

We build payment infrastructure for gaming companies - millions of transactions per month, global scale. Fraud is a direct threat to that: chargebacks, lost revenue, damaged processor relationships.

Role Responsibilities

1. Fraud Detection and Analysis

• Analyze payment transactions to identify fraud patterns, anomalies, and suspicious behavior

• Monitor key risk metrics, including fraud rate, chargeback rate, and approval rate

• Investigate fraud incidents ranging from individual cases to coordinated attacks

• Identify emerging fraud trends and proactively surface risks

1. Risk Monitoring and Reporting

• Build and maintain dashboards for real-time fraud monitoring

• Develop reports to track performance of fraud-related metrics

• Provide structured insights to support decision-making and risk mitigation

1. Fraud Prevention and Optimization

• Support development and refinement of fraud detection rules

• Evaluate effectiveness of existing controls and propose improvements

• Contribute to automation of fraud detection and analysis workflows

1. Cross-functional Collaboration

• Work with Engineering and Payments teams to investigate and resolve fraud-related issues

• Provide clear context and data to support incident response and system improvements

• Contribute to strengthening overall risk management processes

Required Qualifications

• 2+ years of experience in fraud, risk, or payments analytics

• Strong SQL skills with experience analyzing large datasets

• Experience working with transactional or payment data

• Ability to identify patterns and extract actionable insights from data

• Structured and detail-oriented approach to analysis

Preferred Qualifications

• Experience with Python for automation and data analysis

• Understanding of payment flows, chargebacks, and fraud vectors

• Experience in fintech, gaming, payments, or e-commerce environments

What We’re Looking For

• Analytical mindset with strong attention to detail

• Ability to detect patterns and respond to anomalies quickly

• Ownership over risk monitoring and investigation processes

• Clear and structured communication of findings

Success Metrics

• Accuracy and timeliness of fraud detection

• Reduction in fraud and chargeback rates

• Quality and usability of monitoring dashboards and reports

• Speed and effectiveness of fraud investigations

Aghanim helps game developers achieve financial and creative independence by providing the solutions they need to launch, run, and grow their businesses.