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Manager, Data Scientist

Charles Schwab

Southlake, TXJobSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Southlake, TX
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Charles Schwab’s Behavioral AI/ML Analytics team develops analytical solutions supporting fraud prevention and anti-money laundering programs. The Manager, Data Science partners with business, technology, and governance teams to deliver predictive modeling, machine learning, and generative AI capabilities. The role is explicitly onsite at the specified location and focuses on translating business needs into solutions that improve investigations, risk analytics, and operational efficiency.

Skills & qualifications

RequiredNice to have

Skills

End-to-End Data Science, nice to haveFraud and AML Analytics, nice to haveCommunication, nice to haveLearning Agility, nice to haveSQL, nice to havePython, nice to haveGenerative AI, nice to haveLarge Language Models, nice to haveRetrieval-Augmented Generation, nice to havePrompt Engineering, nice to haveAI Agent Frameworks, nice to haveResponsible AI, nice to haveModel Governance, nice to haveExplainability, nice to haveAI Risk Management, nice to haveVertex AI, nice to haveGemini, nice to haveOpenAI, nice to haveLangChain, nice to haveLLM Evaluation, nice to haveAI Observability, nice to havePrompt Optimization, nice to haveKnowledge Retrieval, nice to haveAgent-Based Workflows, nice to haveGoogle Cloud Platform, nice to haveCross-Functional Collaboration, nice to haveAI Governance Frameworks, nice to haveModel Risk Management, nice to haveScalable AI Solutions, nice to havePredictive Modeling, nice to haveMachine Learning, nice to have

Qualifications

3+ Years Analytics or Data Science Experience, nice to have

Benefits

401(k) Match
Paid Time Off
Parental Leave
Tuition Assistance
Medical Insurance
Dental Insurance
Vision Insurance

Full 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 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.

What you’ll do:

As a Manager, Data Science, you will play a key role in understanding FRM business needs and delivering innovative, high-impact analytical 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:

  • 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 business needs into practical 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 supporting appropriate 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.

What you have

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

Qualifications:

  • 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.

  • 3+ years of experience in analytics, data science, machine learning, or a related field.

  • Advanced proficiency in SQL and Python.

  • 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 will help set you apart:

  • Demonstrated experience developing and deploying 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 supporting 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

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 (https://www.schwabjobs.com/hybrid-work) 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 (https://www.schwabjobs.com/summary-of-benefits) 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

What’s in it for you:

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. 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

Schwab is an affirmative action employer, focused on employing and advancing in employment, qualified women, racial and ethnic minorities, protected veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at [email protected] or call 800-275-1281.

How this job compares

Set against the 2,028 open Data Science jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This postingNot listed
  • Texas median$124–232K/yr73 salary ranges
  • US median$35–51/hr133 hourly ranges
Openings
Olive Jobs lists 107 open Data Science jobs in Texas and 2,028 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 3 years of experience — less than three in four Data Science postings that state a minimum ask for (median 6 years, across 1,700 postings).
Education
900 of the 2,028 open Data Science jobs (44%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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