2027 Charles Schwab Corporate Risk Management Internship - Model Risk

About the job

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 at Schwab. It 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

What you have

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 2027-September 2028

• 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 Southlake location during the 9-week program (June 7 to August 8, 2026)

• Working knowledge in object-oriented programming with C#, Java, Python, JavaScript, database design, ETL, etc.

• Course work or experience in using AI Tools to create software applications, such as Github, Copilot, Claude Code, Codex, etc.

• Course work or experience in building solutions is strongly preferred

• Resourcefulness and flexiblity, enjoying working through cross-functional partnerships, and collaborating to achieve a common purpose

Preferred Qualifications

• Interest in model risk management, model validation, governance, or quantitative analytics

• Experience applying analytical, statistical, or modeling techniques through coursework, research, internships, or projects

• Experience documenting analysis, testing results, or technical findings for review by others