Charles Schwab Model Risk Oversight- Research and Development

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. Throughout the 9-week paid on the Model Risk Oversight Team, there will be inspiring opportunities that welcome you into the Schwab culture and immerse you into your role. The interactive program focuses on a variety of opportunities which feature a business track project, an intern cohort project, learning activities, volunteering in the community, a dedicated intern leader, networking, and exploring your unique personal strengths!

Come “challenge the status quo” for the Summer of 2026 and learn what is means to be the next generation of Schwab change makers!

The Model Risk Oversight (MRO) team is part of the corporate risk management department  reviews models used by the firm and measures the individual and aggregate model risks – the risks of misusing models and the risks of relying on erroneous model outputs. Within the MRO team, there are 3 core business tracks:

• Model Validation
• Software Engineering
• Technical Validation

Software Engineering Intern
:
In this role, you will learn what it takes to develop software technologies that revolutionize model risk management. You’ll help maintain and enhance sophisticated model risk software solutions and create tools for data visualization.

Required Qualifications

• Enrolled in a PhD or master’s degree in quantitative or technical field with and be able to start full-time employment between August 2026-September 2027
• Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
• Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 8 to August 7, 2026)
• Working knowledge in object-oriented programming with C#, Java, Python, JavaScript, database design, ETL, etc.
• Course work or experience in building AI/ML or Cloud Solutions in Azure/GCP is strongly preferred.
• Resourcefulness and flexibility, who enjoy working through cross-functional partnerships and collaboration to achieve a common purpose

Your actual pay will be based on your skills and experience -- talk with your recruiter to learn more.

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