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Manager Model Risk Management Jobs in Frisco, TX

Position Summary The Director of Risk Management supports the execution of TCR's risk management ... Serve as the primary relationship manager for insurance brokers and carriers alongside the Senior ...

Position Summary The Director of Risk Management supports the execution of TCR's risk management ... Serve as the primary relationship manager for insurance brokers and carriers alongside the Senior ...

Director, Risk Management The Opportunity This is a high-visibility role for a seasoned risk management professional who wants real breadth: financial lines, property, casualty, and cyber, plus a ...

These skills allow the Risk Manager to gain insights and act as a change agent to influence business partners. As Capital One evolves to meet the ever changing landscape, so do our Directors. They ...

Risk Management Specialist

Dallas, TX · On-site

$73K - $86K/yr

The Risk Management Specialist supports the review and administration of insurance provisions within client and vendor contracts, ensuring alignment with AMN's insurance programs and risk tolerance.

Risk Management Analyst Company: Prologis Risk Management Analyst A day in the life As a Risk Management Analyst at Prologis, you will help manage risk across a diverse global portfolio that includes ...

The Opportunity As a Director, Risk Management, you will lead a high-performing team responsible for identifying, measuring, monitoring, controlling, and reporting key risks across the organization.

The Opportunity As a Director, Risk Management, you will lead a high-performing team responsible for identifying, measuring, monitoring, controlling, and reporting key risks across the organization.

The Opportunity As a Director, Risk Management, you will lead a high-performing team responsible for identifying, measuring, monitoring, controlling, and reporting key risks across the organization.

Showing results 41-60

Manager Model Risk Management information

See Frisco, TX salary details

$40.7K

$97.1K

$156.8K

How much do manager model risk management jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager model risk management in Frisco, TX is $97,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Model Risk Management vs Model Risk Analyst?

AspectManager Model Risk ManagementModel Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Master's in Finance or Risk), certifications like FRM or CFAOften requires similar credentials, such as FRM or CFA, but may have less emphasis on managerial certifications
Work EnvironmentLeads teams, manages risk frameworks, and interacts with senior managementPerforms detailed risk analysis, supports model validation, and reports findings
Employer & Industry UsageCommon in banking, asset management, and financial institutionsFound in similar environments, often as a supporting role to managers

The Manager Model Risk Management oversees the entire model risk framework, manages teams, and interacts with senior stakeholders. In contrast, the Model Risk Analyst focuses on detailed analysis, validation, and reporting of models. Both roles require similar credentials but differ in scope and responsibilities.

What are popular job titles related to Manager Model Risk Management jobs in Frisco, TX?

For Manager Model Risk Management jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Manager Model Risk Management jobs in Frisco, TX look for?

The top searched job categories for Manager Model Risk Management jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Manager Model Risk Management jobs?

Cities near Frisco, TX with the most Manager Model Risk Management job openings:

Infographic showing various Manager Model Risk Management job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $97,060 per year, or $46.7 per hour.

Senior Manager, AI Risk and Supervision

Charles Schwab Inc.

Westlake, TX • On-site

$120K - $170K/yr

Full-time

Posted 20 days ago


Key responsibilities

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

  • Assess and approve or deny models prior to deployment, and evaluate AI and analytical models to identify regulatory, client, and operational risks.

  • Design and implement supervisory controls aligned with regulatory requirements, including preventive, detective, triage, and directive controls.


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 (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
  • 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.