Amazon Risk Management Jobs 2026: Amazon is hiring for the position of Manager II, Risk Mining, Account Integrity in Bengaluru, Karnataka, India. This senior-level opportunity is suitable for professionals with experience in people management, risk management, fraud investigations, program management, trust and safety, and operational process improvement. The selected candidate will lead Amazon’s Anti-Automation Risk Mining team, which works to identify bots, scripted attacks, suspicious account activity, and other forms of automated abuse. The role combines team leadership, risk investigation strategy, performance management, and collaboration with Engineering, Machine Learning, and Product teams. Key Responsibilities: 1. Team Leadership and Development Lead and develop a team of approximately 10 risk analysts, investigators, and related professionals. Support recruitment, onboarding, training, and employee development. Conduct regular one-to-one meetings and provide constructive feedback. Manage team performance, career development, and operational priorities. Build a strong team culture focused on investigation quality and continuous improvement. Remove operational blockers and support team members handling complex investigations. 2. Risk Mining and Anti-Automation Strategy Develop the strategy and roadmap for the Anti-Automation Risk Mining function. Identify emerging patterns involving bots, scripted attacks, and automated abuse. Prioritize high-risk modus operandi (MOs) for investigation. Improve the speed, quality, and accuracy of risk detection. Establish investigation standards and documentation practices. Use findings from investigations to strengthen prevention strategies. 3. Fraud Detection and Investigation Quality Review investigations and complex cases involving suspicious account activity. Maintain quality standards for investigation findings and supporting documentation. Track detection volumes, investigation speed, precision, and other performance indicators. Identify recurring issues and recommend process improvements. Coordinate with relevant teams to address emerging threats. Ensure that investigation findings are communicated effectively to technical and business stakeholders. 4. Collaboration with Engineering and Machine Learning Teams Partner with Engineering, Machine Learning, and Product teams. Convert investigation findings into scalable automated defences. Share risk signals that can improve models, rules, and detection systems. Support the development of tools that reduce manual investigation effort. Coordinate with Payment Risk, Abuse Risk Mining, and related teams. Help prioritize technical improvements based on business impact and risk. 5. Operational Performance and Governance Monitor ticket ageing, service-level agreements, and operational performance. Track rule governance activities and corrective action items. Support standard operating procedure (SOP) maintenance and audit readiness. Manage escalations involving high-severity incidents. Report progress against key goals and operational metrics. Drive improvements in investigation workflows and overall team efficiency. Eligibility Criteria: At least 5 years of experience in program management, strategy, risk management, trust and safety, or a related field. At least 3 years of experience in people management and team development. At least 3 years of experience working cross-functionally with technical and non-technical teams. Ability to manage teams, coordinate complex work, and improve operational performance. Strong problem-solving and decision-making skills. Ability to manage priorities and work with multiple stakeholders.