Senior Manager, AI Risk and Supervision
About The Position
The Senior Manager of Retail Supervision & Risk Management serves as the primary first-line-of-defense control point for determining regulatory supervision requirements for enterprise-wide and retail-facing models, including AI/ML and rules-based systems. The role ensures model-driven activities align with regulatory expectations and are supported by effective supervisory controls, guardrails, evaluations, and policies. As a subject matter expert, the Senior Manager partners with Compliance, Risk, Technology, Product, and other teams to evaluate model use cases, identify regulatory risks, and implement practical, scalable control frameworks that protect clients and uphold the firm’s obligations. Relevant regulations and standards include Regulation Best Interest (Reg BI), DOL fiduciary standards, Communications with the Public, and Money Movement controls. The position is Monday through Friday during standard business hours under a hybrid work model: four days in-office and one day working from home. It is available only in listed areas, and candidates must reside or be willing to relocate at their own expense to one of those areas. Applicants must be authorized to work full-time in the United States without employer sponsorship.
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 or model governance.
- Experience designing and implementing supervisory controls in a regulated financial services environment.
- FINRA Series 7, 66, and 9/10, or equivalent.
- Ability to translate complex regulations into actionable controls and guardrails.
- Strong judgment in prioritizing high-impact risks and applying proportionate controls.
- Understanding of AI/ML concepts, limitations, and risk implications.
- Expertise in building scalable, defensible supervision frameworks.
- Ability to drive alignment across diverse stakeholders.
- Executive-ready communication and clear documentation of risk decisions.
Nice To Haves
- Direct experience overseeing AI-enabled or automated recommendation systems.
- Familiarity with model validation, explainability, and governance considerations.
- Experience with regulatory examinations, internal audits, and remediation programs related to model or supervisory risk.
Responsibilities
- Serve as the central supervisory authority for retail and enterprise models that affect internal and external interactions, recommendations, and account activity.
- Assess models before planned deployment and approve or deny their use.
- Evaluate AI and analytical models for regulatory, client, and business operational risks.
- Participate in working groups as the supervision subject matter expert, where applicable.
- Partner with Product teams to develop or 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 risk tiering and classification, guardrail standards, human-in-the-loop intervention requirements, and clear ownership and accountability structures.
- Review Model Whitepapers, workflows, and other applicable artifacts and recommend modifications where appropriate.
- Translate regulatory requirements into operationally practical, scalable, and 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 support audit and examination readiness, including documentation, evidence, and rationales for supervisory approaches.
- Establish ongoing monitoring and surveillance strategies for model outputs and outcomes.
- Calibrate testing frameworks, including scenario testing and adverse outcome testing where applicable, with Product and Compliance partners.
- Use data insights to refine controls, adjust guardrails, and mitigate emerging risks in partnership with Product and Compliance.
- Partner with SMEs to develop targeted training for supervisors and frontline teams on AI usage, risks, and personnel responsibilities.
- Develop policies and written supervisory procedures (WSPs) that reflect evolving AI-enabled supervision practices.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
