Salary: USD $73,100 - $149,400 / Year

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 the models at the company.

We are hiring a quantitative analyst 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 financial models are used in business contexts. This is a manager level individual contributor role in which the person will perform 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. This manager will have the opportunity to present work through formal model validation reports, as well as through presentations to model owners and senior management. The nature of the team is very collaborative, and this team member will partner with other quantitative analysts at the company, as well as with external consultants. To ensure success, it will be key to evaluate model performance monitoring reports, conduct model revalidation & model annual reviews, and maintain model inventory.

• MA/MS in a quantitative discipline (economics, statistics, finance, mathematics, physics).
• Some familiarity with financial predictive modeling disciplines, such as consumer behavioral modeling, econometric forecasting, Monte Carlo analysis, optimization theory, or decision science.
• Some familiarity of fixed income instruments, interest rate risk, credit risk, capital risk and credit risk.
• Advanced skills with analytical tools, such as R, Python or SAS.

• Experience with financial data providers, such as FactSet, Bloomberg, Thomson Reuters or Capital IQ is a plus.
• Experience associated with development, use, or validation of stress testing models (CCAR or DFAST) is desirable.
• Experience working as a quant in the financial industry.
• Knowledge of model governance processes and regulatory requirements for large US banks.
• CFA, FRM, CTP certification.
• Strong oral and written communication skills.
• Excellent people skills.

• 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