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 seek a quantitative analyst to assist with model validations and make additional contributions to the Model Risk Oversight team as a model validation manager. The analyst will participate in several model governance activities in business areas including Artificial Intelligence techniques, investments, advisory and cybersecurity management. The use of Artificial Intelligence at Schwab is growing rapidly, and the analyst will work primarily on validation projects of this type
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.
- 2-3 years of work experience performing and/or supporting model validations in the financial industry.
- Model validation experience related to Artificial Intelligence and machine learning.
- Advanced skill with analytical tools, such as SAS, R, MATLAB, or Python.
Preferred Qualifications
- Strong oral and written communication skills.
- Experience building and testing challenger models using supervised and/or unsupervised machine learning or other data science modeling techniques.
- Advanced degree in data science, or other advanced degree with coursework in AI, machine learning, and data science.
- Expertise in either GenAI, finance or cybersecurity areas.
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. 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
