Fraud & AML Data Science Manager — GenAI & ML Lead

Charles Schwab; Orlando (FL); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid time for vacation, volunteering,

28-day sabbatical after every 5 years

Paid parental leave and familybuilding

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Manager, Data Science to lead analytics for Fraud Prevention and AML within Financial Risk Management. You will partner with business, technology, and governance teams to translate needs into scalable GenAI and ML solutions that reduce risk and drive measurable value.

The role emphasizes end-to-end delivery, governance, and responsible AI. You will mentor teams, advocate for data-driven decisions, and work on on-site collaboration in Orlando, FL, with a hybrid/onsite

Qualifications

• End-to-end data science delivery driving business value.
• Experience in fraud/AML or financial services.
• Strong communication to translate analytics to business insights.
• Curiosity to learn new tools and techniques.
• 3+ years in analytics, data science, ML, or related field.
• Advanced SQL and Python skills.
• Experience with GenAI tech incl. LLMs, RAG, prompts or AI agents.
• Understanding of Responsible AI, governance, risk management principles.
• Experience with modern AI platforms like Vertex AI, Gemini, OpenAI, LangChain.

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 model governance, risk controls, 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

Analytics experience

SQL & Python

GenAI technologies

Responsible AI & governance

AI platforms/tools

Tools

Vertex AI

Gemini

OpenAI

LangChain

Job description

Charles Schwab is seeking a Manager, Data Science to lead analytics for Fraud Prevention and AML within Financial Risk Management. You will partner with business, technology, and governance teams to translate needs into scalable GenAI and ML solutions that reduce risk and drive measurable value.

The role emphasizes end-to-end delivery, governance, and responsible AI. You will mentor teams, advocate for data-driven decisions, and work on on-site collaboration in Orlando, FL, with a hybrid/onsite