Amazon Risk Analyst II Job 2026 – Bengaluru

Amazon has opened applications for the Amazon Risk Analyst II Job 2026 in its Account Integrity team. This Risk Mining role sits within Amazon’s Buyer Risk Prevention (BRP) team and focuses on the Anti-Automation vertical. The role is based in Bengaluru, Karnataka, and follows a full-time schedule. So if you have 5+ years of experience in an analytics or data-driven role and enjoy investigative work against bots and scripted attacks, this opening deserves a close look.

Amazon Risk Analyst II Job 2026: About the Role

Amazon’s Account Integrity Team (AIT) protects hundreds of millions of customers by identifying and stopping fraudulent activity before it causes harm. The Risk Mining function detects emerging modus operandi (MOs) that automated systems alone cannot catch. In addition, the team feeds those signals back into scalable upstream defenses.

The Risk Analyst II (Risk Mining) is a senior individual-contributor role. Moreover, it sits at the intersection of three disciplines: analyst, strategist, and ML partner. You will join the Anti-Automation Risk Mining team in India. As a result, your findings will directly translate into customer trust at global scale.

This is a hands-on, high-ownership role with broad cross-team influence. It reports to Risk Mining leadership. You will own the quality, speed, and impact of your investigations. In addition, you will raise the bar for investigation quality across the vertical.

Key Responsibilities

According to the official posting, the selected candidate will:

• Lead complex investigations into emerging automated abuse, running deep dives on bots, scripted attacks, and automated MOs before they scale.
• Own detection and mitigation strategy for the Anti-Automation vertical, prioritizing the highest-risk automated MOs.
• Partner deeply with Machine Learning and Engineering teams to turn findings into scalable, automated upstream defenses.
• Translate investigative signal into ML features, detection logic, and rule improvements.
• Produce high-quality deep dives, MO write-ups, and analyses, and own vertical-level metrics for detection volume, speed, and precision.
• Collaborate with the other Risk Mining verticals and partner teams (Payment Risk, Abuse Risk Mining) on joint investigations.
• Serve as a subject-matter expert on high-severity incidents and escalations.
• Champion automation and GenAI opportunities to amplify throughput and quality, and measure the realized ROI from those investments.

Eligibility and Skills

The official posting lists the following basic qualifications:

• Education: Bachelor’s degree or equivalent
• Experience: 5+ years in an analytics or data-driven role (for example business analyst, risk analyst, data analyst, operations analyst, or research analyst) or similar quantitative/analytical roles across any domain
• Experience with advanced use of SQL for data mining and business intelligence, or experience with data analytics platforms (Power BI, Python, SQL, Tableau)
• Experience delivering results for large, cross-functional initiatives/projects

The posting also lists the following preferred qualifications:

• 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
• Experience handling confidential information
• Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
• Master’s degree in Math, Statistics, Computer Science, or a related Science field, or experience in data

How to Apply for the Amazon Risk Analyst II Job 2026

Interested candidates should apply through the official Amazon.jobs posting linked in the table above (Job ID 10576801). Always verify the details on the official page before submitting your application, because only the official posting carries the final and binding information. For example, if you are exploring other Account Integrity openings, you can also read about the Amazon Business Analyst II, Account Integrity Job 2026 on MSG Job.

Finally, highlight your SQL, investigation, and ML-partnership experience in your resume, since the posting values these strengths highly.