# Risk Analyst II, Account Integrity at Amazon

Amazon is hiring a Risk Analyst II, Account Integrity in Bengaluru, India. Level rates it Uses AI ●●○○; you can [apply on Level](https://jobsbylevel.com/go/1bc6e5b2-305d-46a7-a5ba-9406f0c39666?utm_medium=ai-agent).

AI Level 2, AI centrality 55 out of 100. IN, KA, Bengaluru.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 2 (score 55 out of 100)
- Location: IN, KA, Bengaluru
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/1bc6e5b2-305d-46a7-a5ba-9406f0c39666?utm_medium=ai-agent

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/risk-analyst-ii-account-integrity-at-amazon-2da997

## Description

Amazon's Account Integrity Team (AIT) within Buyer Risk Prevention (BRP) protects hundreds of millions of customers by identifying and stopping fraudulent activity before it causes harm. The Risk Mining function is where human ingenuity meets machine learning - our team detects emerging modus operandi (MOs) that automated systems alone can't catch, and feeds those signals back into scalable upstream defenses. Nowhere is that fight sharper than in Anti-Automation, where we go head-to-head with bots, scripted attacks, and automated abuse that evolves by the hour. If you want to do investigative work that directly translates into customer trust at global scale, this is the role. The Risk Analyst II (Risk Mining) is a senior individual-contributor role that sits at the intersection of three disciplines - analyst, strategist, and ML partner. You will join the Anti-Automation Risk Mining team in India - a team of analysts, investigators, and builders who hunt down automated abuse before it scales. As the analyst, you run deep dives on bot and scripted-attack behavior and turn raw signal into high-quality MO documentation. As the strategist, you shape where the vertical invests its detection effort and anticipate how the adversary will evolve. As the ML partner, you work hand-in-hand with Machine Learning and Engineering to convert your findings into scalable, automated upstream defenses and close the feedback loop into models and rules. This is a hands-on, high-ownership role with broad cross-team influence, reporting to Risk Mining leadership. You are accountable for the quality, speed, and impact of your investigations - detecting automated MOs, driving measurable gains in detection speed and precision, mitigating risk, and clearing the blockers that stand between the team and impact. As a senior IC, you are expected to raise the bar for investigation quality across the vertical and influence detection strategy well beyond your own caseload. Key job responsibilities - Lead complex investigations into emerging automated abuse - running deep dives on bots, scripted attacks, and automated MOs before they scale, and setting the quality bar others follow. - Own detection and mitigation strategy for the Anti-Automation vertical - prioritizing the highest-risk automated MOs and anticipating how bots and scripted attacks will evolve. - Partner deeply with Machine Learning and Engineering teams to turn your findings into scalable, automated upstream defenses, and own the feedback loop back into models and rules. - Translate investigative signal into ML features, detection logic, and rule improvements - acting as the bridge between front-line investigation and automated defense. - 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 and shared signals. - 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. A day in the life No two days look the same when the automated-abuse landscape shifts in real time - your week balances hands-on investigation, strategy, and close ML partnership to keep Anti-Automation ahead of emerging threats: Analyst (Investigation & Analysis) - Running deep dives on the highest-risk automated MOs and following the signal in the noise and take mitigation action. - Pulling and analyzing large datasets to size impact, confirm hypotheses, and sharpen detection. - Documenting findings and MO write-ups so they can be turned into durable, scalable defenses. Strategy (Building What's Next) - Shaping the detection and mitigation strategy for your slice of Risk Mining - anticipating how automated abuse will evolve and positioning the team to stay ahead. -

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/risk-analyst-ii-account-integrity-at-amazon-2da997

Source: https://jobsbylevel.com/jobs/risk-analyst-ii-account-integrity-at-amazon-2da997

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