Antifraud Analyst

This is a fully remote position, open to applicants in Serbia.

📋 Description

• Execute thorough investigations of suspicious cases, performing in-depth analyses of fraud incidents that evade current detection systems, establishing connections between fraudulent profiles, and revealing new fraud patterns and schemes.

• Conduct initial authorization and verification of POS partners, along with continuous monitoring of merchant and agent activities to spot indications of collusion, fraud farms, and manipulation at points of sale.

• Design, implement, and consistently enhance antifraud rules and detection logic utilized in application approval processes and transactional surveillance.

• Assess and analyze data from external sources (credit bureaus, vendors, and third-party services) and incorporate them into fraud detection and prevention strategies.

• Generate regular antifraud reports that detail fraud levels, the effectiveness of rules, and the overall quality of the portfolio.

• Assist antifraud analytics by utilizing data marts and datasets within the company’s Data Warehouse (DWH).

• Conduct quality assurance (QA) on antifraud-related processes managed by first-line and second-line teams.

• Handle and investigate antifraud-related requests from customer support and verification teams, offering analysis and recommendations.

⛳️ Requirements

• Languages: Proficient in Russian (native or fluent) and English B1+ (Intermediate) or above.

• Work experience: 1–3 years as an antifraud analyst, fraud investigator, or risk underwriter within the fintech or banking sectors.

• Education: Higher education (incomplete higher education is acceptable if the candidate possesses relevant professional experience).

• Analytical thinking: Capability to discern patterns and anomalies within extensive datasets.

• Ownership and independence: Skill to manage tasks from inception to completion, identifying anomalies and implementing fraud prevention measures.

• Curiosity and investigative mindset: Eagerness to go beyond standard practices and proactively uncover new and unconventional fraud schemes.

• Hard skills: Proficient in SQL (joins, aggregations) and Excel (pivot tables, advanced formulas).

• Nice to Have: Automation: Basic understanding of Python or VBA for the automation of routine tasks.

• Data visualization: Experience in creating dashboards using tools like Tableau or Power BI.

• Domain expertise: Familiarity with POS lending or partner/merchant verification.

• OSINT: Experience conducting investigations using open-source intelligence tools and publicly available data.

🏝️ Benefits

• Fully remote work format.

• Official employment under the Russian Labor Code (for residents of Russia); contractor collaboration available for other countries.

• Opportunity to collaborate with an international team on a new digital product within the Mexican market.

• Work in a data-driven environment where your contributions will have a significant impact.