Can you predict which compliance risks turn into breaches before they do? What would you build with control testing results, alert data, and investigation outcomes from across Amazon's regulated entities in one place? How would you define the target variable when a breach means different things to Compliance, Assurance, and the regulator?

We are seeking a Data Scientist to join the Data and Analytics team within Risk and Compliance Solutions (RCS). Our team builds the analytics and modeling layer that RCS runs on: the datasets, models, and intelligence products that tell Compliance Officers and our first line of defense (1LoD) partners where risk concentrates and which controls hold. You build the predictive side of that layer. You score which open risks and control weaknesses convert to breaches, quantify control effectiveness across regions, and put the answer in front of the people who act on it.

Financial crime compliance is the first domain where we apply this, and the pattern extends across the RCS portfolio from there. Threats change faster than control sets adapt,



and the intelligence that explains a control failure in one entity rarely reaches the teams running the same controls elsewhere. You close that gap with models, and you carry the approach into the next domain once it proves out.

You own problems end to end: framing the question with Compliance and 1LoD partners, building and calibrating models on control, alert, and investigation data, and moving the output into production reporting. You define what counts as a breach before you model it, which means anchoring event dates to control testing cycles, designing out temporal leakage, and mapping the target variable to the taxonomy Compliance and Assurance already recognize. You work with technologies including Amazon Redshift, Amazon SageMaker, AWS Lambda, and Amazon QuickSight, and you partner with data engineers, business intelligence engineers, and software development engineers across RCS.

The

📌 Data Scientist II, Risk and Compliance Solutions (Bengaluru)
🏢 Amazon
📍 Bengaluru