Antifraud Analyst

Posted 71ds ago

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Job Description

Antifraud Analyst at Mercuryo analyzing payment traffic to prevent fraud and mitigate risks. Collaborating with various teams to enhance antifraud systems and strategies.

Responsibilities:

  • Analyze payment traffic and large-scale transactional data to identify fraud patterns, schemes, anomalies, and emerging risks
  • Perform in-depth investigations of suspicious activity and confirmed fraud cases to understand attack vectors and root causes
  • Continuously monitor fraud performance metrics to detect shifts in fraud behavior and control effectiveness
  • Design, implement, adjust, and monitor rule-based fraud controls, thresholds, and escalation logic
  • Evaluate rule effectiveness, identify false positives and false negatives, and propose data-driven optimizations
  • Review, propose, and implement changes to risk controls in coordination with the Fraud team
  • Participate in the operation, development, and modernization of the internal anti-fraud system
  • Automate anomaly detection and reduce manual investigation effort through smarter analytics
  • Assist in the development and optimization of fraud detection tools, suggesting improvements based on analytical findings
  • Build and maintain analytical reports and dashboards for internal stakeholders and, where needed, external partners
  • Translate complex data into clear, actionable insights that support fraud prevention and business decision-making
  • Own fraud-related performance metrics and drive measurable improvements in fraud prevention efficiency
  • Stay up to date with fraud trends, techniques, and industry developments
  • Contribute to the drafting and refinement of fraud-related policies, procedures, and risk documentation
  • Partner with teams across Compliance, Product, Risk, and Transaction monitoring to align mitigation strategies, process changes, and regulatory requirements

Requirements:

  • 5+ years of experience working with transactional fraud in fintech, payments, or e-commerce
  • Strong understanding of fraud typologies, detection strategies, and risk control frameworks
  • Familiarity with fraud monitoring programs and risk requirements from payment networks
  • Proven ability to own performance metrics and drive measurable fraud reduction or efficiency improvements
  • Highly analytical, with the ability to identify suspicious patterns, anomalies, and trends in complex datasets
  • Proficient in SQL and experienced in working with large volumes of transactional data
  • Experience analyzing data and presenting results via dashboards and reports
  • Ability to translate analytical findings into practical actions and control improvements
  • Able to work independently, taking ownership where your expertise is needed
  • Strong collaborator, comfortable working across teams, functions, and cultures
  • Clear communicator, capable of explaining complex analytical topics to non-technical stakeholders
  • Curious and proactive, with a willingness to continuously learn and adapt to evolving fraud threats
  • Nice to have: Exposure to machine learning–based fraud detection or hybrid rules + ML approaches
  • Experience using Python/R for data analysis in an analytical or anti-fraud context
  • Basic knowledge of probability theory and mathematical statistics as applied to anomaly detection and risk modeling

Benefits:

  • Comprehensive health insurance plans
  • 22 days annual leave with an additional 6 company days, plus bank holidays
  • Extensive benefits program
  • Flexible work schedule and remote work options
  • Working equipment
  • Professional development and training opportunities
  • Opportunity to shape the initiatives you’re working on