Manager, Data Science — Fraud & GenAI Solutions Lead

Charles Schwab; Omaha (NE); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Vacation & sabbatical

Parental leave & family benefits

Tuition reimbursement

Health, dental & vision insurance

Job summary

Charles Schwab is seeking a Manager, Data Science to lead advanced analytics and GenAI initiatives within the Behavioral AI/ML Analytics (BAMA) team. You will collaborate across business, technology, and governance to deploy predictive models and AI-powered solutions supporting fraud detection and AML programs.

The role focuses on building scalable, compliant AI capabilities, translating business needs into practical AI use cases, and delivering measurable value while working on-site in Omaha,

Qualifications

• Advanced proficiency in SQL and Python.
• Experience with Generative AI technologies and LLMs.
• Understanding of AI governance, risk management, and explainability.

Responsibilities

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

Skills

SQL

Python

Generative AI

LLMs

RAG

AI governance

Tools

Vertex AI

Gemini

OpenAI

LangChain

Job description

Charles Schwab is seeking a Manager, Data Science to lead advanced analytics and GenAI initiatives within the Behavioral AI/ML Analytics (BAMA) team. You will collaborate across business, technology, and governance to deploy predictive models and AI-powered solutions supporting fraud detection and AML programs.

The role focuses on building scalable, compliant AI capabilities, translating business needs into practical AI use cases, and delivering measurable value while working on-site in Omaha,