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.
The Risk Analytics team falls within the Market and Investment Risk function under the broader Corporate Risk Management organization. The team’s primary functions are to provide quantitative research and modeling of market and credit risks, covering a wide range of products including: mortgage loans, home equity lines of credit, margin, deposit and fixed income businesses.
As a Manager, Risk Analytics & Programming, you will create and manage a production-quality quantitative econometric modeling environment for CCAR-related stress testing purposes. You will play a crucial role in finalizing model delivery and optimization so that models can run in an automated fashion. You will demonstrate proficiency in web-enabled programming tools (Java, HTML) and scripting languages such as Python. You will also need to display your knowledge of statistics, econometrics and R (statistical package).
What you’ll do:
- Review and enhance relevant parts of R and Python code that has been developed by other team members to understand the statistical and econometric analyses being done
- Implement improvements to the code to automate the run process
- Read and interpret Java and HTML code
- Help develop model documentation
- Utilize project management and communication skills to ensure project deliverables are understood and achievable
- Perform ad-hoc responsibilities, as needed.
What you have:
The Manager Risk Analytics must be knowledgeable about basic statistical/econometric concepts, and be able to use technology to query databases and prepare documentation. You should be familiar with best practices as they relate to software and model development, including source code management, input variable stress analysis and overall model validation techniques.
Master's degree in Computer Science, Systems Engineering or related area with an undergraduate degree in Finance, Economics, Mathematics, Physical Sciences or Engineering that requires use of computational mathematics and/or statistical techniques.
2-5 years of quantitative experience
Strong analytical and appropriate coding skills necessary to develop and refine codes developed by others
Good understanding of statistical packages such as R, Python (SciPy Stack) or Stata
Strong technical skills with experience using relational databases
Strong communication skills with ability to translate technical concepts for non-technical audiences, including senior management and auditors.
What you’ll get:
Learn more about Life@Schwab.
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:
IL - Chicago