2027 Model Risk Software Engineering Intern (Southlake Only)

Charles Schwab Inc. • Southlake, TX

2d • Onsite

About The Position

The Model Risk Software Engineering Intern contributes to technology solutions used by model validators and researchers across Schwab. The intern supports development of tools and applications that enhance model validation processes, solves technical problems, and produces accurate, well-documented code and technical documentation. The role also explores artificial intelligence, machine learning, and large language model technologies while learning new tools and processes and collaborating with model risk partners.

This internship is part of the Model Risk Oversight program within Corporate Risk Management, which supports oversight, validation, governance, and technology capabilities for reliable, well-governed, and appropriately controlled quantitative and predictive models. The internship runs from June 7, 2027 through August 6, 2027. The position is onsite in Southlake, Texas.

Requirements

• Currently enrolled in a graduate degree program in a technical, quantitative, or closely related field.
• For the Model Risk Software Engineering role, pursuing a graduate degree in a technical or quantitative field; preferred graduation timing for this sourcing requisition is December 2027 or later.
• Authorized to work in the United States on a full-time basis without employer sponsorship.
• Interest in model risk management, model validation, model governance, software engineering, quantitative analytics, artificial intelligence, or intelligent automation, based on role alignment.
• Proficiency in at least two of the following: Python, R, SAS, C#, C++, Java, or SQL.
• Demonstrated analytical thinking, structured problem solving, and ability to evaluate information, risks, technical challenges, or process requirements.
• Strong attention to detail and ability to produce accurate, traceable documentation, code, or technical work products.
• Ability to communicate technical concepts, findings, recommendations, and progress clearly and professionally.
• Ability to manage assigned work through completion, collaborate effectively, and learn new concepts, tools, technologies, processes, or regulatory expectations quickly.

Nice To Haves

• Experience applying analytical, statistical, modeling, programming, automation, or data-related skills through coursework, research, internships, personal projects, or work experience.
• Exposure to artificial intelligence, machine learning, generative AI, large language models, or AI automation technologies.
• Experience developing or deploying software, contributing to technical solutions, or documenting software development processes.
• Experience documenting analysis, research, testing results, technical findings, prompts, workflows, or quality assurance criteria for review by others.
• Interest in working at the intersection of model risk, governance, analytics, technology, and financial services.

Responsibilities

• Develop tools and applications that support model validation teams.
• Solve technical problems and contribute accurate, well-documented code and technical documentation.
• Explore artificial intelligence, machine learning, and large language model technologies.
• Learn new technologies, tools, and processes while collaborating with model risk partners.

What This Job Offers

• Career Level: Intern