Senior Manager, Data Science

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.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.

The Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated Senior Manager, Data Science. BAMA leverages predictive modeling, advanced analytics, machine learning, and emerging AI technologies to deliver innovative solutions that enhance Schwab's ability to fight financial crime. Supporting Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), the team develops predictive models, AI-powered capabilities, and advanced analytical solutions that solve complex business problems and deliver measurable value. With a broad range of business challenges to address, BAMA provides numerous opportunities to drive meaningful impact through both traditional machine learning and next-generation AI technologies.

*This is an individual contributor position.

What you’ll do:

As a Senior Manager, Data Science, you will play a key role in understanding FRM business needs and establishing yourself as a strategic partner who delivers innovative, high-impact solutions. You will collaborate with business, technology, and governance partners to develop and deploy advanced analytics, machine learning, and Generative AI solutions that support critical fraud and AML initiatives.

Key responsibilities include:

• 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.