Senior Specialist, Internal Audit, Risk Analytics/Modeling

Your Opportunity

The Internal Audit Department (IAD) of The Charles Schwab Corporation provides independent and objective assessments to figure out whether all significant risks are identified and appropriately reported by management and risk functions to the Board and Executive Management, to evaluate whether risks are adequately controlled, and to challenge Executive Management to improve the efficiency of governance processes, risk management, and internal controls.

The Technology enterprise team is seeking a Senior Specialist, Internal Audit, Risk Analytics/Modeling. The Technology internal audit enterprise team is responsible for the execution of infrastructure, application, and project audits including model risk. We are hiring a quantitative specialist to perform testing as part of audit reviews of model development, governance, and validation controls. The candidate will need a good understanding of statistics and models in general. The role includes performing testing as part of audit reviews of various model types including: Capital Stress Testing (CST), Fraud, Anti-Money Laundering (AML), Machine Learning, Credit risk, Interest Rate risk, Margin risk, Investment risk, and Business Intelligence/Marketing.

What you'll do:

• Audit Execution:
• Assist with performing audit reviews of model development and validations following guidelines based on SR 26-2 Supervisory Guidance on Model Risk Management, to include an assessment of model usage, documentation, conceptual soundness, data integrity, the control environment, and the software environment.
• Communicate work through formal model audit templates, reports, as well as through presentations to model owners, validators, and Internal Audit leaders.
• Work effectively as a team member with other Internal Audit team members and with other quantitative analysts at the company.
• Evaluate model performance monitoring plans and reports.
• Participate in the execution of internal audit assignments on models, ensuring work is performed timely and in accordance with IAD methodology.
• Issues Identification: Based on the results of audit testing, identify and draft audit observations for review by the Internal Audit Manager/Senior Manager (and above levels) and subsequent debriefing with the key partners (typically VP-level and below).
• Issue Management and Validation: Conduct validation testing of the audit issue action plans completed by the business.
• Risk Assessment: Under the direct supervision of IAD Management, participate in the annual Risk Assessment process, including scheduling and participation in meetings with partners, and the scoring and documentation of risk ratings.
• Coaching: Provide support, mentoring, and feedback to audit team members throughout the audit. Provide assistance with onboarding and ongoing support to new team members.
• Administration/Training: Completion of firm-wide and departmental administration and training requirements.
• Other Initiatives/Special Projects: As needed, assist with special projects related to business operational improvement or internal team needs.

What you have

• Demonstrated experience performing internal audits over model risk amongst a complex operational and regulatory environment.
• Ability to work as a member of a project team and cultivate a strong working relationship with external co-sourcing providers and internal lines of businesses.
• Working on or attained advanced degree in a quantitative field (economics, statistics, finance, mathematics, physics)
• Advanced skill with one or more analytical tools, such as SAS, R, Python, or MATLAB
• Understanding of statistical concepts and predictive modeling fields
• Strong oral and written communication skills with a shown ability to articulate effectively and authoritatively
• Beginning exposure to model governance processes and regulatory requirements for large US banks
• Intellectual curiosity and desire to learn new modeling techniques (e.g., Artificial Intelligence (AI) including gen AI and agentic AI)