Amazon Risk Management Jobs 2026 – Manager II Recruitment
Company:
Amazon Active
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.
Quick Job Overview
Hiring Company
Amazon
Job Location
Bengaluru
Experience Required
Fresher / Experienced
Qualification
Graduate
Salary / CTC
₹5 LPA - ₹8 LPA
Employment & Mode
Full Time (On-site / Hybrid)
Application Status
Active
Application Deadline
30 Nov 2026
Key Skills & Competencies Required
Risk Management
Fraud Detection
Account Integrity
Roles & 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.
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Frequently Asked Questions (FAQs)
The basic qualifications require at least 5 years of relevant experience, including 3 years of people management and 3 years of cross-functional experience.
The official description does not explicitly specify remote or hybrid work. Applicants should confirm the arrangement with the recruiter.
A master's degree or equivalent is listed as a preferred qualification rather than a basic requirement in the reviewed description.
jyoti kumari is a verified Talent Acquisition & Career Advisory specialist at AlexaHire, specializing in private sector hiring trends, technical interview preparation, and corporate off-campus walk-in drives across India.