Senior Antifraud Data & Process Analyst

Hybrid - Senior

Kazakhstan, Almaty · Georgia · Cyprus

Senior Antifraud Data & Process Analyst will be responsible for transforming raw data into insights, automating fraud detection tasks, and supporting the creation of dashboards. This role plays a key part in enhancing fraud detection capabilities and enabling data-driven decisions across operational and strategic levels.

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Responsibilities

Data Analytics & Reporting

  • Create and maintain fraud-related dashboards in collaboration with data teams, providing clear requirements and ensuring ongoing accuracy and relevance.
  • Prepare clear, actionable reports and insights to support management in operational and strategic decisions.

Fraud Detection & Prevention

  • Perform ad-hoc analytical requests to support fraud investigations and strategic business reviews, providing deep insights.
  • Collaborate with data teams to define requirements for advanced analytical models and machine learning algorithms aimed at detecting complex fraud patterns.
  • Conduct root cause analysis of fraud cases to identify process or policy gaps.

Process Optimization & Documentation

  • Analyze current business processes for fraud prevention, identify bottlenecks, and propose solutions for their automation and optimization.
  • Develop and document end-to-end fraud verification processes for all business areas, ensuring their efficiency and scalability.
  • Work closely with technical and operational teams to review and optimize Standard Operating Procedures (SOPs), implementing data-driven approaches.
  • Support cross-team workshops and build visual process maps.

Data Infrastructure & Collaboration

  • Integrate new data sources and collaborate with other teams to ensure seamless data exchange and comprehensive analysis.
  • Support integration of new tools or enhancements into fraud prevention workflows (including basic automation or rules-based logic)

Qualifications

  • 3–5 years of experience in business analysis, process improvement, or fraud operations.
  • Bachelor’s or Master’s degree in Business Analytics, Economics, Management, or a related field.
  • Strong experience in mapping, analyzing, and optimizing business processes (BPMN or similar frameworks preferred).
  • Experience with data visualization tools to present findings and support decision-making.
  • Proficiency with Excel/Google Sheets (advanced formulas, pivot tables).
  • Basic understanding of SQL, Python for querying data to support investigations and analysis.
  • Strong analytical mindset and attention to operational detail.
  • Excellent communication and stakeholder management skills.
  • English B2+

Conditions & Benefits

  • Stable salary, official employment.
  • Health insurance.
  • Hybrid work mode and flexible schedule.
  • Relocation package offered for candidates from other regions.
  • Access to professional counseling services. including psychological, financial, and legal support.
  • Discount club membership.
  • Diverse internal training programs.
  • Partially or fully payed additional training courses.
  • All necessary work equipment.

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