Anti-Fraud Analyst
7.0/10
Not specified
Office / on-site
mid
about 5 hours ago
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AI quality score7.2 / 10
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Overview
Join an international iGaming company as an Anti-Fraud Analyst to develop and enhance anti-fraud strategies using modern tools and data. An international iGaming company developing its own products and technology platform is expanding its team and looking for an experienced Anti-Fraud Analyst.
Responsibilities
- •Develop and improve anti-fraud strategies for the company's products;
- •Identify, analyze, and prevent fraudulent schemes in the iGaming sector;
- •Work with internal and external data sources to build effective fraud detection models;
- •Utilize the company's accumulated Big Data for user behavior analysis and anomaly detection;
- •Configure, maintain, and optimize anti-fraud tools and processes;
- •Collaborate with product, analytics, risk, and technical teams;
- •Participate in the development and implementation of internal anti-fraud solutions and monitoring systems;
- •Generate reports, conduct research, and propose initiatives to reduce risks.
Conditions
- •Competitive market salary and transparent bonus system;
- •Opportunity to directly influence the company's development and product effectiveness;
- •Work in an international team and participate in large-scale projects;
- •Catering for lunches in the office or monetary compensation for meals;
- •Health insurance for the employee and their family;
- •Official employment and support in obtaining a work visa;
- •External and internal training and development programs;
- •Monetary bonus for childbirth and birthday premium;
- •Access to a corporate online library;
- •Corporate sports benefits.
Requirements
- •Experience in the Anti-Fraud field, preferably in iGaming, FinTech, or high-load B2C products;
- •Practical experience in launching own products or working with proprietary technology platforms;
- •Experience in using and analyzing large data sets accumulated by various company departments;
- •Proficient in modern anti-fraud tools (Sumsub, SEON, and similar solutions);
- •Understanding of fraud detection methods, risk modeling, and behavioral analytics;
- •Experience in developing or participating in the creation of internal anti-fraud systems is a significant advantage;
- •Proficient in English for professional communication;
- •Analytical mindset, initiative, and ability to make independent decisions.
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