Senior Manager, Data Science

Charles Schwab; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work flexibility

Job summary

Charles Schwab is seeking a Senior Manager, Data Science to lead advanced analytics initiatives within the Fraud Prevention and AML programs of FRM. You will shape strategic decisions by delivering AI-driven insights and scalable GenAI solutions, partnering with cross-functional teams to deploy models and governance frameworks.

The role emphasizes collaboration, leadership, and hands-on delivery, with a focus on responsible AI, model governance, and regulatory considerations in a finance

Qualifications

• 5+ years of experience in analytics, data science, machine learning, or a related field.
• Strong programming skills in SQL and Python.
• Experience building GenAI and AI-powered solutions in regulated industries.

Responsibilities

• Lead the exploration, development and deployment of predictive modeling, ML, and GenAI solutions for fraud and AML.
• Partner with business and governance teams to identify high-value use cases for LLMs and RAG.
• Design and evaluate AI-assisted tools with governance and risk controls in mind.
• Drive cloud-based AI platforms and emerging tech to improve analyst productivity and outcomes.
• Communicate analytical findings to technical and non-technical stakeholders to influence decisions.

Skills

SQL

Python

Analytics

Machine Learning

GenAI

Communication

Education

Master's degree in a quantitative field

Tools

Vertex AI

Gemini

OpenAI

LangChain

Job description

Your opportunity

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.

What Will Help Set You Apart

• 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.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

What you have

The Senior Manager, Data Scientist brings a strong quantitative foundation, business acumen, and passion for solving complex problems. The ideal candidate is an innovative, collaborative leader with expertise in data science, machine learning, and emerging AI technologies.

• 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.

What's in it for you

At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration - so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you - both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance