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

Your opportunity

At Schwab, you are 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.

Charles Schwab's Model Risk Oversight (MRO) team oversees the use and risk of predictive modeling at the firm. MRO is responsible for performing validations of the conceptual soundness and technical implementation of models to ensure their reliability.

The Model Risk Solutions Architect will review the technical implementation of model systems, applications, and platforms, and collaborate with lead validators to determine the technical soundness of model implementation. Departments across the firm develop and implement these models. MRO acts as the gatekeeper to ensure compliance with standards and best practice prior to production use. In this role you'll conduct independent testing on model systems, applications, or processes to identify implementation errors or opportunities for improvement. This is a key role in which you will author professional reports that deliver results for an in-depth validation. The role will require you to challenge model implementation within the following areas:

• Implementation design including platform and architecture/infrastructure.
• Model use within the development, testing, and production environments.
• Data management and related controls for handling, moving, transforming, consuming, producing, and protecting data.
• Change management concepts across versioning, source code controls, and deployment methodologies.
• Comprehensive testing plans including regression tests, unit tests, feature tests, and other implementation testing practices to ensure proper development and implementation of models.

• Master's degree in information systems, software engineering, or computer science or equivalent work experience.
• 3+ years' experience in software development and implementation, software engineering, full stack application development, IT system architecture, or other IT related areas
• 3+ years' experience with testing, including knowledge of best practices for unit tests, regression tests, feature tests, and other types of implementation testing.

• Initiative-taker with the ability to work independently and within a team environment.
• Proven ability to review and challenge complex application infrastructures and software implementation.
• Excellent writing skills with proven ability to prepare and create executive-level reports and documentation.
• Excellent communications skills with the ability to present and describe issues and solutions to their team, model owners, developers, and executive staff.
• Experience developing, implementing, or executing quantitative or predictive models using statistical programming languages (e.g., Python, R, Matlab).
• Experience with object-oriented programming languages (e.g., C#, Java).
• Experience with SDLC concepts and related systems (e.g., JIRA, Bamboo, Zephyr, Bitbucket, Remedy).
• High attention to detail, sharp critical thinking, and problem-solving skills.
• Ability to partner with model developers and implementation teams to establish proper controls and determining best practice for model implementation.
• Ability to support a team of conceptual validators.

• 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