Senior Fraud Risk Analyst

Full-timeRemote
Remotevia Aghanim CareersPosted Jun 16, 2026
Match with my CV

Technical skills

PythonSQLData analysisSREiOS development

Role signals

Finance

About this role

Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.

Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.

Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.

We are looking for a Senior Fraud Risk 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 and behavioral 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.

Key Responsibilities

  • Fraud Detection and Investigation
  • Analyze transaction data to identify fraud patterns, anomalies, and emerging risks
  • Monitor key fraud and payment metrics, including fraud rate, chargeback rate, and approval rate
  • Investigate fraud incidents ranging from individual cases to large-scale coordinated attacks
  • Risk Monitoring and Prevention
  • Build dashboards and reports to support real-time fraud monitoring and decision-making
  • Evaluate fraud controls and contribute to the development and optimization of detection models
  • Drive automation of fraud detection, monitoring, and investigation workflows
  • Cross-functional Collaboration
  • Partner with Engineering, Payments, and Operations teams to investigate fraud-related issues and improve risk management processes
  • Provide actionable insights and recommendations to support incident response and fraud prevention initiatives

Required Qualifications

  • -
  • 5+ years of experience in fraud, risk, payments, or data analytics
  • Strong SQL skills and experience working with large transactional datasets
  • Ability to identify patterns, investigate anomalies, and derive actionable insights
  • Experience using AI tools for analysis and automation

Preferred Qualifications

  • Python
  • Fintech or gaming experience
  • Why Join Us
  • World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
  • High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
  • Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
  • Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
  • Equity – participate in the company's growth and long-term success

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

Loading similar active roles...