What are the responsibilities and job description for the Senior Manager, Model Validation position at Charles Schwab Inc.?
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.
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 models at the company.
We are looking for a senior quantitative analyst to conduct model validations and make additional contributions to the Model Risk Oversight team. The senior analyst will participate in several model governance activities in business areas including regulatory capital stress testing (CCAR/DFAST and Advanced Approaches) and investment management. The use of Artificial Intelligence at Schwab is growing rapidly and will be a particular focus for this position.
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 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.
What you have
Required Qualifications:
- Advanced degree in a quantitative discipline.
- 5 years of work experience with model development or model validation in the financial industry.
- Advanced skill with analytical tools, such as SAS, R, MATLAB, or Python.
- Knowledge of SR 11-7 regulatory guidance and corresponding model governance requirements for banks.
Preferred Qualifications:
- Strong oral and written communication skills.
- PhD degree in a quantitative discipline.
- Model development or model validation experience related to Artificial Intelligence and machine learning.
- Financial industry certification such as CFA, FRM, or PRM.
