Charles Schwab Sr. Quantitative Analyst in Lone Tree, Colorado

We believe that , when done right, investing liberates people to create their own destiny. We are driven by our purpose to champion every client’s goals with passion and integrity. We respect and appreciate the diversity of our employees, our clients, and the communities we serve. We challenge conventions strategically to create value for our clients, our firm and the world. We live and bring to life the concept of ‘own your tomorrow’ every day. We champion our employee strengths, guide their development, and invest in their long-term success. We hire optimistic, results-oriented, curious, innovative, and adaptable people with the desire to help our clients and one another succeed.

As a company, we were established by Chuck over 40 years ago to champion Main Street over Wall Street, and to help Americans transform themselves from earners to owners. Through advocacy and innovation, we work to make investing more affordable, accessible and understandable for all. As we enter our fifth decade, we are looking for talented, innovative and driven people who believe they can help themselves, and our clients, create a better future.

Our Opportunity:

We are looking for a Sr. Quantitative Analyst to play a critical part in the growing responsibilities of the Model Risk Management team. In this role, you will assist with performing independent model validations, which includes: reviewing model documentation for completeness, assessing the suitability of models for their intended purposes, performing stress testing and other sensitivity analysis, reviewing data inputs and outputs, and making recommendations for improvements. You will need to demonstrate a strong quantitative aptitude, a good understanding of how financial models are used in business and regulatory contexts, and excellent verbal and written communication skills

What you’ll do:

  • Review and analyze sophisticated financial models, which may include developing alternative challenger models.

  • Present work through formal validation reports and presentations to model owners and senior management.

  • Partner effectively with all model stakeholders to ensure optimal outcomes for the validation process.

  • Keep abreast with developments in quantitative risk management and industry best practices in model validation.

  • Work on high visibility and high exposure projects.

What you have:

  • Advanced degree in a highly quantitative discipline, PhD preferred.

  • 5+ years of relevant experience in the Financial Services industry.

  • Experience with financial predictive modeling disciplines, such as consumer behavioral modeling, econometric forecasting, Monte Carlo analysis, or decision science.

  • Strong computer skills. Experience programming in an advanced programming language such as C++ preferred.

  • Advanced knowledge of analytical tools such as SAS, R, or MATLAB.

  • Experience with financial vendor tools, such as Bloomberg, PolyPaths, QRM, BlackRock Anser is desirable.

  • Experience with development, use, or validation of stress testing models (CCAR or DFAST) is a plus.

What you’ll get:

  • Everyday Wellness: Healthy Rewards, Onsite Fitness Classes, Healthy Choices, Wellness Champions

  • Financial Fitness: 401k Match, Employee Discounts, Personalized advice, Brokerage discounts

  • Work/Life Balance: Sabbatical, New Mothers returning to work Program, Tuition Reimbursement Programs, Time off to volunteer

  • Inclusion: Employee Resource Groups, Commitment to diversity, Strategic partnerships

  • Not just a job, but a career, with an opportunity to do the best work of your life

Learn more about Life@Schwab at" .

Charles Schwab & Co., Inc. is an equal opportunity and affirmative action employer committed to diversifying its workforce. It is Schwab's policy to provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, disability, legally protected medical condition, genetic information, marital status, sexual orientation, protected veteran status, military status, citizenship status or any other status that is protected by law.

Position Located In: CO - Lone Tree