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Senior Manager, Model Risk Oversight

Location Southlake, Texas, United States; Austin,Texas,United States;Orlando,Florida,United States; Requisition ID 2026-120001 Category Risk & Regulatory Position Type Regular
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Your Opportunity

Your opportunity


At Schwab, you are 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.

Model Risk Oversight is a strategic function within the broader Corporate Risk Management umbrella that utilizes a broad spectrum of models to create innovative products for our clients, and to prudently manage our financial risk using sophisticated quantitative approaches. The Model Risk Oversight team plays a key role in identifying, reviewing, and monitoring all the models at the company.

We are hiring an experienced model validator at a Senior Manager level (individual contributor) to conduct validations of fraud models and make additional contributions to the Model Risk Oversight team.

The job responsibilities will include, but not be limited to:

  • Performing model validations following guidelines based on SR 11-7, to include an assessment of model usage, documentation, conceptual soundness, data integrity, the control environment, and the software environment.
  • Presenting work through formal model validation reports, as well as through verbal presentations to model owners and senior management.
  • Working effectively as a team member with other analysts at the company, as well as with external consultants.
  • Evaluating model performance monitoring reports and conducting model annual reviews.

This will be an individual contributor role.

What you have


Required Qualifications:

  • Advanced degree in quantitative discipline (data science, statistics, mathematics, physics, engineering).
  • 3-7+ years of work experience in quantitative modeling.
  • Working knowledge of fraud models.
  • Advanced skill with one or more analytical tools, such as R, MATLAB, or Python and machine learning packages such as Scikit-learn or similar.

Preferred Qualifications:

  • Model validation experience.
  • Strong oral and written communication skills.
  • Excellent people skills.
  • Comfortable working with large and unstructured data sets.
  • Experience with the development and use of machine learning models.
  • Ph.D. in quantitative discipline (data science, statistics, mathematics, physics, engineering).
  • Professional certifications: CFA, FRM, CFCS or similar.
  • Knowledge of model governance processes and regulatory requirements for large US banks.

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 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

What you are good at

What you have

Required Qualifications:

  • Advanced degree in quantitative discipline (data science, statistics, mathematics, physics, engineering).
  • 3-7+ years of work experience in quantitative modeling.
  • Working knowledge of fraud models.
  • Advanced skill with one or more analytical tools, such as R, MATLAB, or Python and machine learning packages such as Scikit-learn or similar.

Preferred Qualifications:

  • Model validation experience.
  • Strong oral and written communication skills.
  • Excellent people skills.
  • Comfortable working with large and unstructured data sets.
  • Experience with the development and use of machine learning models.
  • Ph.D. in quantitative discipline (data science, statistics, mathematics, physics, engineering).
  • Professional certifications: CFA, FRM, CFCS or similar.
  • Knowledge of model governance processes and regulatory requirements for large US banks.

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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