We are seeking an experienced and data-driven Senior Fraud Analyst to lead fraud detection,

prevention, and risk mitigation across our payment ecosystem. This role plays a critical part in protecting the business from financial losses, optimizing fraud controls, and improving customer experience through intelligent risk decisioning.

Key Responsibilities:

• Monitor and investigate complex fraud cases across transactions, accounts, and user behavior

• Perform deep-dive analysis to identify emerging fraud patterns and attack vectors

• Lead investigations into high-risk incidents, including payment fraud and abuse cases

• Design, implement, and continuously optimize fraud detection rules and scenarios

• Balance fraud prevention vs customer experience by reducing false positives

• Collaborate with product and engineering teams to enhance our fraud monitoring rules and decisions

• Analyze large datasets to identify fraud trends, anomalies, and vulnerabilities

• Develop dashboards and reports on key fraud KPIs (ex: Fraud rate).

• Provide actionable insights to improve fraud controls and business processes

• Contribute to the overall fraud risk framework and policies

• Identify gaps in controls and recommend preventive measures

• Support audits, regulatory requests, and internal reviews

Requirements:

• 3+ years of experience in Fraud Risk, Transaction Monitoring, or Payments Risk in banking or fintech or relevant organizations.

• Strong experience in fraud detection tools, rules engines, and case management systems

• Deep understanding of fraud typologies

• Strong data analysis skills

• Experience with fraud tools

• Ability to interpret and act on real-time and batch transaction data

• Excellent communication skills (technical + business)

• High ownership and accountability

Perks of working @ Axis

• Flexible hybrid working model

• Medical insurance for you and your family

• Life insurance coverage

• Subsidized gym membership

• Very competitive leave policy, including extended Maternity and Paternity leaves.