Fraud Risk Analyst

About the role

Fraud Risk Analyst

Unlimit operates at the center of the global digital economy, establishing the infrastructure required for autonomous agents to conduct commerce across any border. The company connects local payment environments into a unified financial layer, enabling instant settlement and programmable accounts for businesses operating on a worldwide scale. This infrastructure is supported by a broad regulatory foundation and operations in multiple major financial centers.

The Fraud Risk Analyst position is critical for maintaining the integrity of this system while supporting its expansion. The role focuses on analyzing transaction data, identifying new fraud tactics, and developing robust detection methodologies. Success in this position requires a proactive approach to problem-solving and a commitment to data-driven decision-making.

The Fraud Risk Analyst is responsible for monitoring and improving the fraud detection framework for a global payments platform. The primary focus is on analyzing live transaction streams to identify subtle indicators of fraud across diverse channels. This analysis directly shapes the rules and logic used to protect the business and its users.

A core part of the position involves designing new detection layers that adapt quickly to evolving criminal behaviors. The analyst must translate complex data patterns into clear narratives that explain fraud risks to technical and non-technical teams. This ensures that prevention strategies are both effective and understandable across the organization.

Close collaboration with Product, Engineering, Risk, and Compliance is essential. Together, these teams develop and deploy rules that manage risk without compromising legitimate conversion opportunities. The analyst helps guide these discussions by providing accurate data and insightful perspectives on emerging threats.

The work directly influences how fraud strategy is shaped across Unlimit's acquiring markets. By tracking regional settlement flows and settlement behaviors, the analyst helps refine models that ensure transaction safety. This continuous refinement is necessary to respond to changes in the global payments landscape.

Compensation and Location

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Location: Limassol

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Engagement: Full-Time

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Compensation: 65,000 USD yearly

Key Responsibilities

• Examining incoming alerts for subtle fraud indicators across payment channels and customer journeys.
• Designing new logic layers that respond swiftly to shifting criminal behaviors and emerging threat vectors.
• Coordinating with engineering teams to deploy rules that balance risk mitigation with maintenance of conversion rates.
• Tracking regional settlement flows and transaction outcomes to refine models used for assessing transaction safety.
• Partnering with compliance and legal teams on documentation that explains detection decisions and regulatory alignment clearly.
• Evaluating performance metrics to confirm that implemented controls effectively reduce losses and false positives.
• Guiding risk discussions with data stories that highlight evolving threat landscapes and attack patterns.
• Supporting product teams to test hypotheses that improve monitoring coverage and the accuracy of detection systems over time.

Required Qualifications

• Holding at least three years of professional experience analyzing fraud patterns within payments or a related financial sector.
• Demonstrating comfort with sifting through complex data sets to identify hidden risk signals and anomalies.
• Showing a clear understanding of how local payment options and settlement rails create unique risk profiles and vulnerabilities.
• Possessing the ability to communicate highly technical findings to non-specialist stakeholders, including executive leadership.
• Exhibiting a willingness to follow established procedures while proactively suggesting improvements based on empirical evidence and data.

Preferred Qualifications

• Having prior experience working alongside engineering and product squads on controlled experiments and A/B tests.
• Familiarity with fraud management tools and platforms used in high-volume transaction environments.
• Knowledge of regulatory expectations and compliance requirements related to financial crime in global markets.

Core Skills and Tools

• Data Analysis: Expertise in writing SQL queries to extract, transform, and analyze large datasets is mandatory.
• Programming: Proficiency in Python for data manipulation, analysis, and the development of scripts that automate tasks.
• Visualization: Experience using dashboards and spreadsheet tools to track key performance indicators and present findings.
• Communication: Strong written and verbal skills necessary for documenting processes and articulating complex issues clearly.

Practical Information

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