Senior Manager, Model Risk Oversight

Charles Schwab; Orlando (FL); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k) with company match

Paid time for vacation and sabbaticals

Paid parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

A leading financial services company in Orlando is hiring a Senior Manager level quantitative analyst for model risk oversight. The ideal candidate will conduct model validations, collaborate with quantitative teams, and enhance machine learning capabilities. Candidates should possess an advanced degree in a quantitative discipline, along with 3-7+ years of experience in quantitative modeling and proficiency in analytical tools like Python or R. This role supports a hybrid work model with meaningful benefits.

Qualifications

• 3-7+ years of work experience in quantitative modeling.
• Advanced skill with analytical tools such as R, MATLAB, or Python.
• Experience with machine learning packages.

Responsibilities

• Perform model validations following SR 11‑7 guidelines.
• Enhance capabilities of the machine learning platform for validations.
• Present formal model validation reports to management.

Skills

Quantitative modeling

Machine learning

Statistical analysis

Communication

Education

Advanced degree in a quantitative discipline

Ph.D. in a quantitative discipline

Tools

R

MATLAB

Python

Scikit-learn

Job description

Job 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

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.

Position Overview

We are hiring a quantitative analyst at a Senior Manager level to conduct model validations and make additional contributions to the Model Risk Oversight team. The analyst will need strong quantitative aptitude and a good understanding of how cutting edge financial, fraud and marketing models are used in business contexts. Prior experience with model-driven trading and evaluation of financial instruments, fraud monitoring and marketing models, especially those from data science area like machine learning, natural language processing, AI models is desirable.

Job Responsibilities

• 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.
• Work on enhancing the capabilities and refining of a machine learning platform used for effective challenge during validations.
• 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 quantitative 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.

Required Qualifications

• Advanced degree in a quantitative discipline (data science, statistics, mathematics, physics, engineering).
• 3-7+ years of work experience in quantitative modeling.
• 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

• Strong oral and written communication skills.
• Excellent people skills.
• Experience working with investment management, including model-driven trading and evaluation of financial instruments.
• Experience working with machine learning systems that target financial crimes (fraud, AML) and/or marketing and business analytics areas.
• Comfortable working with large and unstructured data sets.
• Experience with the development and use of machine learning models.
• Ph.D. in a quantitative discipline (data science, statistics, mathematics, physics, engineering).
• Experience working as a data scientist or quant in the financial industry.
• 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.

Benefits

• 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 reimbursementHealth, dental, and vision insurance