Applied Scientist II, Risk and Compliance Solutions (RCS)
Core
Build ML and GenAI systems for risk models, requirement translation, control testing, and regulatory reporting to support Compliance Officers and first line of defense partners.
Role type
Senior Applied Scientist (Risk & Compliance)
Builds
Production ML/GenAI systems, risk scoring models, and evaluation science for financial crime compliance and broader RCS domains.
Domain
Financial services, regulatory compliance, risk management
Deliverable
production ML models
Required skills
Machine learning, Generative AI, statistical modeling, experimental design, production code, model evaluation, drift detection, uncertainty quantification
Preferred skills
Patents or publications, financial modeling, audit experience, large-scale optimization, data infrastructure design
Technologies
Amazon SageMaker, Amazon Bedrock, Amazon Redshift, AWS Lambda, Java, C++, Python
Responsibilities
Formulate compliance problems as ML/GenAI tasks, develop risk models from rare/noisy labels, build GenAI systems with human approval gates, design evaluation metrics and golden sets, deploy and monitor models in production, explain model decisions to auditors, create reusable science components, mentor peers
Seniority
Senior, hands-on IC