Manager, Data Science: GenAI for Fraud & AML

Charles Schwab Inc.; Southlake (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Charles Schwab Corporation is seeking a Manager, Data Science to lead analytics initiatives within Fraud Prevention and AML. You will drive predictive modeling, ML, and GenAI solutions, collaborating with business, technology, and governance partners to translate needs into scalable AI use cases.

The ideal candidate brings 3+ years in analytics, strong Python/SQL skills, and experience with LLMs, RAG, and AI platforms, ensuring governance and risk controls are in place.

Qualifications

• Independently and collaboratively deliver end-to-end data science solutions that drive business value.
• Experience applying data science and ML within fraud, AML, payments, financial services, or related domains.
• Strong communication skills, with the ability to translate complex analytical and AI concepts into clear business insights.
• Curiosity and enthusiasm for learning and adopting new tools, technologies, and techniques.
• 3+ years of experience in analytics, data science, machine learning, or a related field.
• Advanced proficiency in SQL and Python.
• Experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, or AI agent frameworks.
• Understanding of Responsible AI, model governance, explainability, and AI risk management principles.
• Experience with modern AI platforms and tools such as Vertex AI, Gemini, OpenAI, LangChain, or related technologies.

Responsibilities

• Develop, test, and implement predictive modeling, ML, and GenAI-powered solutions to enhance fraud detection, AML investigations, risk analytics, and operational efficiency.
• Partner with business, technology, and governance teams to translate business needs into practical use cases for LLMs, RAG, intelligent automation, and agentic AI systems.
• Design, develop, and evaluate AI-assisted investigator tools, knowledge retrieval solutions, and decision-support capabilities while supporting governance and regulatory compliance.
• Leverage cloud-based AI platforms and emerging technologies to improve analyst productivity, decision quality, and customer outcomes.
• Communicate analytical findings and AI-driven insights to technical and non-technical stakeholders, supporting informed business decisions and measurable outcomes.

Skills

Data science

Generative AI

Communication of analytics

Problem solving

3+ years analytics

Tools

SQL

Python

LLMs

RAG

LangChain

Vertex AI

Gemini

OpenAI

AI agent frameworks

Job description

Charles Schwab Corporation is seeking a Manager, Data Science to lead analytics initiatives within Fraud Prevention and AML. You will drive predictive modeling, ML, and GenAI solutions, collaborating with business, technology, and governance partners to translate needs into scalable AI use cases.

The ideal candidate brings 3+ years in analytics, strong Python/SQL skills, and experience with LLMs, RAG, and AI platforms, ensuring governance and risk controls are in place.