Vacancy details
This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.
- Status
- Active
- Date posted
- 2026-11-15
- Open until
- 2027-02-13
- Employment type
- Full-time
- Source-listed languages
- Not specified
- Language requirement
- No mandatory language inferred
- Work arrangement
- Remote
- Physical workplaces
- Not specified
- Applicant eligibility
- Georgia; Bulgaria; Poland; Romania
Overview
Work fully remotely from Georgia, Bulgaria, Poland or Romania to own payments and fraud analytics across gaming transactions and player behavior. Monitor approvals, declines, provider performance, promo abuse, chargebacks and anomalous account activity. Translate SQL-based findings into dashboards, risk controls and operational recommendations for payments, fraud, compliance and customer-service teams.
Requirements
- Hands-on data analyst experience in payments, fraud, risk or AML, ideally in gaming, fintech or a high-volume digital environment.
- Strong SQL skills on a cloud data warehouse, with BigQuery preferred rather than required.
- Practical Looker, Tableau, Power BI or comparable business intelligence and dashboard experience.
- Demonstrated ability to investigate transaction and behavioral fraud, abuse patterns and trade-offs between capture and legitimate-player friction.
- Ability to own ambiguous analytical projects through scoping, delivery, documentation and outcome monitoring.
- Confident written and verbal cross-functional communication with operations, compliance and senior stakeholders, including questioning assumptions with evidence.
- Investigative attention to detail and reliable definition of source data and operational metrics.
- Python, fraud-scoring tools, device or behavioral signals, social-casino mechanics, and machine-learning fraud methods are advantageous, not mandatory.
Responsibilities
- Own payment performance analysis across approval rates, declines, payment methods and provider outcomes.
- Investigate promo abuse, multi-accounting, chargebacks, money cycling and other transactional or player-behavior anomalies.
- Design, back-test and monitor risk rules, thresholds and segments against fraud capture and genuine-user friction.
- Build and maintain Looker/Tableau-style dashboards, anomaly alerts, reusable data definitions and monitoring logic.
- Support AML investigations and audit-ready compliance analytics.
- Quantify risk-review workloads, case outcomes and player-service friction for operations teams.
- Document analyses and communicate measurable recommendations and follow-up impact.
Conditions
- Full-time, fully remote role based in Georgia, Bulgaria, Poland or Romania.