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About the Role
The Behavioral AI/ML Analytics (BAMA) team is seeking a Senior Manager, Data Science to leverage predictive modeling, advanced analytics, machine learning, and emerging AI technologies to deliver innovative solutions that enhance Schwab's ability to fight financial crime. This role supports Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), developing solutions that solve complex business problems and deliver measurable value.
Responsibilities
- Lead the exploration, development and deployment of 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 identify and prioritize high-value use cases for Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent automation, and agentic AI systems.
- Design, develop, and evaluate AI-assisted investigator tools, knowledge retrieval solutions, and decision-support capabilities while ensuring appropriate model governance, risk controls, and regulatory compliance.
- Drive innovation by leveraging 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, influencing strategic decisions and business outcomes.
Requirements
- Demonstrated ability to independently and collaboratively deliver end-to-end data science solutions that drive business value.
- Experience applying data science and machine learning 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.
- 5+ years of experience in analytics, data science, machine learning, or a related field.
- Advanced proficiency in SQL and Python.
- Master's degree in a quantitative field or equivalent experience.
- 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.
- Demonstrated experience developing and deploying enterprise GenAI applications within financial services, fraud, AML, risk management, or compliance domains.
- Experience with LLM evaluation, AI observability, prompt optimization, RAG architectures, knowledge retrieval systems, and agent-based workflows.
- Knowledge of cloud-native AI platforms, particularly Google Cloud Platform (GCP), Vertex AI, Gemini, and related AI services.
- Experience leading cross-functional AI initiatives from ideation through production deployment and adoption.
- Familiarity with AI governance frameworks, model risk management, and emerging regulatory expectations for GenAI in highly regulated industries.
- Experience building scalable AI solutions that integrate predictive modeling, machine learning, and Generative AI capabilities into operational workflows.
Skills
- Data Science
- Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI Agent Frameworks
- SQL
- Python
- Vertex AI
- Gemini
- OpenAI
- LangChain
- Google Cloud Platform (GCP)
Location
- On site
Work Type
- On site
- Individual contributor
Experience Level
- Senior Manager
- 5+ years of experience
Education Level
- Master's degree in a quantitative field or equivalent experience
Salary/Compensations
- Eligible for bonus or incentive opportunities
About the Company
- At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.