Senior Manager, Supervision and Controls

Charles Schwab Inc.•Westlake, TX

2d•$105,000 - $145,000•Hybrid

About The Position

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.

Requirements

8–12+ years in broker-dealer and/or investment advisor supervision, risk management, or compliance, with a strong retail focus.
Demonstrated experience with Reg BI, DOL fiduciary standards, communications supervision, and/or money movement controls.
Hands-on involvement in AI/ML model risk management, model governance, or advanced analytics oversight.
Experience designing and implementing supervisory controls in a regulated financial services environment.
FINRA Series 7, 66, and 9/10

Nice To Haves

Direct experience overseeing AI-enabled or automated recommendation systems.
Familiarity with model validation, explainability, and governance considerations.
Experience with regulatory exams, internal audits, and remediation programs related to model or supervisory risk.

Responsibilities

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 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.
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.
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.
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.