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2025 Charles Schwab Model Risk Internship (Artificial Intelligence, Machine Learning, Financial Engineering and Data Science)

Location Lone Tree, Colorado, United States Requisition ID 2024-101928 Category Internship Position Type Intern (Trainee)
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Your Opportunity

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 2025 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 
  • Technical Validation 

What you have


Model Validation Intern: In this role, you will learn to assist with model risk governance and model validation. You will also have the opportunity to learn how to effectively communicate the outcomes of your testing, review, and analysis. If you love applied math, statistical analysis, and data science then this is the role for you.  


Preferred Qualifications 

  • Enrolled in a PhD. or master’s degree in technical or quantitative field involving predictive modeling, statistical analysis, applied math, operations research, physics, or data science and be able to start full-time employment between August 2025-September 2026
  • Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 9 to August 8, 2025) 
  • Working knowledge in one or more of the following analysis tools: R, Python, SAS, or MATLAB.  
  • Analytical and inquisitive frame of mind with an interest in financial modeling in the context of quantitative risk management  
  • Ability to communicate effectively, both orally and in writing, with employees that have varying levels of analytical expertise  
  • Resourcefulness and flexibility, who enjoy working through cross-functional partnerships and collaboration to achieve a common purpose  

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.  

Preferred 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 2025-September 2026
  • Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 9 to August 8, 2025) 
  • 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  

Technical Validation Intern: In this role, you will learn how to assess the risk of technology used in models at the firm. You’ll play an integral part in building out and executing processes that support technical validation and model risk monitoring. If you enjoy critical thinking are interested in learning more about how financial models work this is the role for you.  

Preferred 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 2025-September 2026
  • Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 9 to August 8, 2025) 
  • Coursework or interest in quantitative/financial model oversight, risk management, compliance, management of policies and procedures, coding, systems development, process automation, data science, or process improvement 
  • Resourcefulness and flexibility, who enjoy working through cross-functional partnerships and collaboration to achieve a common purpose  

Target Total Compensation - $40/hour

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

#campus


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.

What you are good at

What you have

Model Validation Intern: In this role, you will learn to assist with model risk governance and model validation. You will also have the opportunity to learn how to effectively communicate the outcomes of your testing, review, and analysis. If you love applied math, statistical analysis, and data science then this is the role for you.  

 
Preferred Qualifications 

  • Enrolled in a PhD. or master’s degree in technical or quantitative field involving predictive modeling, statistical analysis, applied math, operations research, physics, or data science and be able to start full-time employment between August 2025-September 2026
  • Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 9 to August 8, 2025) 
  • Working knowledge in one or more of the following analysis tools: R, Python, SAS, or MATLAB.  
  • Analytical and inquisitive frame of mind with an interest in financial modeling in the context of quantitative risk management  
  • Ability to communicate effectively, both orally and in writing, with employees that have varying levels of analytical expertise  
  • Resourcefulness and flexibility, who enjoy working through cross-functional partnerships and collaboration to achieve a common purpose  

 

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.  

  

Preferred 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 2025-September 2026
  • Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 9 to August 8, 2025) 
  • 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  

  

Technical Validation Intern: In this role, you will learn how to assess the risk of technology used in models at the firm. You’ll play an integral part in building out and executing processes that support technical validation and model risk monitoring. If you enjoy critical thinking are interested in learning more about how financial models work this is the role for you.  

  

Preferred 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 2025-September 2026
  • Ability to work full time and be on-site at the Schwab Denver location during the 9-week program (June 9 to August 8, 2025) 
  • Coursework or interest in quantitative/financial model oversight, risk management, compliance, management of policies and procedures, coding, systems development, process automation, data science, or process improvement 
  • Resourcefulness and flexibility, who enjoy working through cross-functional partnerships and collaboration to achieve a common purpose  

 

 

Target Total Compensation - $40/hour

 

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

 

#campus

Why Schwab?

At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.

Hear from employees: What’s it like to work at Schwab!

The benefits of working at Schwab : a package designed to empower your health, wealth, career and life. Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.

As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)

Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace. We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.

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