Senior Manager, AI Risk and Supervision

Charles Schwab; Westlake (TX); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with match

Employee stock purchase plan

Sabbatical after 5 years

Parental leave

Tuition reimbursement

Paid time off

Volunteer time

Job summary

Charles Schwab in the United States is seeking a Senior Manager of Retail Supervision & Risk Management to lead first-line risk controls for enterprise and retail models, including AI/ML. The role ensures alignment with regulatory expectations and establishes robust supervisory controls.

The position collaborates across Compliance, Risk, Technology, Product, and other teams to evaluate model use cases, implement scalable guardrails, and uphold fiduciary standards such as Reg BI and money

Qualifications

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

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.
• 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 guardrail standards.
• Define clear ownership and accountability structures across first-line and second-line partners.
• Assess and modify Model Whitepapers, Workflows, and other artifacts as needed.

Skills

Regulatory translation

Risk-based thinking

Model literacy

Supervisory design

Influence & collaboration

Communication

Tools

FINRA licenses

Job description

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 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
• Communication: Executive-ready storytelling and clear documentation of risk decisions

What you have

Required Qualifications:

• 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 or model governance.
• Experience designing and implementing supervisory controls in a regulated financial services environment.
• FINRA Series 7, 66, and 9/10 (or equivalent).

Preferred Qualifications:

• 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.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 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