Senior Manager, Supervision and Controls

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. Please note: This position is M-F during standard business hours with a hybrid work model (4 days in-office, 1 day working from home). It is only available in the areas listed. Candidate must reside or be willing to relocate on their own to one of the listed areas. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

 

The Senior Manager of Retail Supervision & Risk Management will serve as the primary 1st Line of Defense (1LOD) control point for determining regulatory supervision requirements for enterprise-wide and retail-facing models (including AI/ML and rules-based systems). This role is responsible for ensuring that model-driven activities are aligned with regulatory expectations and are supported by effective supervisory controls, guardrails, evaluations and policies.

 

This role will serve in as a key subject matter expert (SME) and will partner across Compliance, Risk, Technology, Product, and others to evaluate model use cases, identify regulatory risks, and implement practical, scalable control frameworks that protect clients and uphold firm obligations under regulations such as but not limited to Regulation Best Interest (Reg BI), DOL fiduciary standards, Communications with the Public, and Money Movement controls.

 

Key Responsibilities

1LOD Model Supervision & Risk Leadership

• Serve as the central supervisory authority for retail and enterprise models impacting internal and external interactions, recommendations, and account activity.

• Assess and approve/deny models prior to planned deployment

• Evaluate AI and analytical models to identify regulatory, client, and business operational risks.

• Participate in working groups as the supervision SME, where applicable.

• Partner with Product teams to (not all inclusive):

• Develop/refine supervisory guardrails and evaluations for model-enabled workflows

• Determine and align on thresholds, severity methodology, and escalation protocols

• Develop and maintain a model supervision framework, including but not limited to:

• Risk tiering and model classification

• Guardrail standards (e.g., hard limits vs. advisory prompts)

• Human-in-the-loop intervention requirements

• Define clear ownership and accountability structures across first-line and second-line partners.

• Assess and provide modification recommendations, where applicable, to Model Whitepapers, Workflows, and other applicable artifacts.

1LOD Supervisory Control Design

• Translate regulatory requirements into operationally practical, scalable, testable controls.

• Design and implement preventive, detective, triage, and directive controls aligned to model risks.

• Partner with Retail Business Unit Supervision SMEs to construct supervisory controls, where applicable.

• Partner with Compliance to ensure audit and exam readiness, including documentation, evidence, and rationales for supervisory approaches.

Monitoring, Testing & Continuous Improvement

• Establish ongoing monitoring and surveillance strategies for model outputs and outcomes.

• Calibrate on testing frameworks (scenario testing, adverse outcome testing, where applicable) with Product and Compliance partners.

• Use data insights to better partner with Product and Compliance teams to refine controls, adjust guardrails, and mitigate emerging risks.

Training & Policy Enablement

• Partner with SMEs to develop targeted training programs for supervisors and frontline teams on AI usage, risks, and personnel responsibilities.

• Responsible for the development of policies and WSPs to reflect evolving AI-enabled supervision practices.

Core Skills & Capabilities

• Regulatory translation: Ability to convert complex regulations into actionable controls and guardrails

• Risk-based thinking: Strong judgment in prioritizing high-impact risks and applying proportionate controls

• Model literacy: Understanding of AI/ML concepts, limitations, and risk implications

• Supervisory design: Expertise in building scalable, defensible supervision frameworks

• Influence & collaboration: Ability to drive alignment across diverse stakeholders

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