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Applied Scientist II, Risk and Compliance Solutions (RCS)

Amazon· Risk and Compliance Solutions (RCS)
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Bengalurufull-timePosted 1w ago

About the role

Applied Scientist II joining the Data and Analytics team within Risk and Compliance Solutions (RCS) to build ML and GenAI systems for risk scoring, regulatory translation, control testing, and regulatory reporting in financial crime compliance.

Responsibilities

  • Formulate ambiguous compliance problems as ML and GenAI problems with Compliance and 1LoD partners, and choose methods that fit the data, the risk, and the audit standard
  • Develop risk models that learn from rare, delayed, and noisy labels to score which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning
  • Build GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage
  • Design the evaluation for every ML and GenAI system you ship: golden sets that compliance experts label, metrics suited to rare outcomes and generated text, and release criteria a system meets before Compliance relies on it
  • Deploy and monitor models in production with software development engineers, including drift detection, performance tracking against realized outcomes, and retraining criteria
  • Explain model decisions, quantify uncertainty, and document methodology so Compliance Officers, auditors, and examiners can trace how a system reached each output
  • Create reusable science components, such as feature sets, scoring services, and evaluation harnesses, so an approach that works in financial crime compliance extends to the next domain without a rebuild
  • Review peer models for statistical soundness, mentor data scientists and engineers on ML methods and experimental design, and publish or patent where the work and confidentiality allow

Qualifications

  • 3+ years of building models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Skills

Required:Machine LearningGenAIProduction ML / MLOpsData Analysis

Benefits

  • Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the accommodations page for more information.
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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