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.