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Model Risk Governance Jobs in Los Angeles, CA (NOW HIRING)

East West Bank

AI Governance

Pasadena, CA · On-site

$130K/yr

Support regulatory, audit, model risk, and enterprise risk management activities related to AI and advanced analytics environments. * Translate governance policies into repeatable operational ...

East West Bank

AI Governance

Pasadena, CA

Support regulatory, audit, model risk, and enterprise risk management activities related to AI and advanced analytics environments. * Translate governance policies into repeatable operational ...

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Model Risk Governance information

See Los Angeles, CA salary details

$10

$49

$153

How much do model risk governance jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for model risk governance in Los Angeles, CA is $49.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $77.69 per hour, depending on experience, location, and employer.

What is a model risk governance?

A Model Risk Governance job involves overseeing the policies, procedures, and frameworks used to manage model risk within an organization. Professionals in this role ensure that models used for decision-making in areas like finance, risk management, and compliance are properly validated, monitored, and updated. They work closely with model developers, risk managers, and regulators to enforce governance standards and mitigate potential risks. Key responsibilities include establishing model validation processes, conducting risk assessments, and ensuring compliance with regulatory requirements.

What are some typical challenges faced in a model risk governance role?

Professionals in Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring comprehensive documentation for models, and maintaining effective communication between technical modelers and business stakeholders. Balancing rigorous model validations with tight project timelines can also be demanding, especially when coordinating input from various teams. Overcoming these hurdles requires a proactive approach to learning, strong organizational skills, and the ability to translate complex quantitative issues into actionable insights for decision-makers. These challenges make the work dynamic and offer significant opportunities to influence critical risk management processes within the organization.

What are the key skills and qualifications needed to thrive in a model risk governance role?

To excel in Model Risk Governance, you typically need a strong background in quantitative finance, statistics, or a related field, often with advanced degrees such as a master's or Ph.D., and experience in risk management. Familiarity with model validation tools, programming languages like Python or R, and regulatory frameworks such as SR 11-7 or Basel guidelines is highly valued. Strong analytical thinking, communication skills, and the ability to manage multiple stakeholders are key soft skills for this position. These competencies ensure effective oversight of model risk, facilitate regulatory compliance, and enable clear communication of complex technical issues to non-technical stakeholders.

What are popular job titles related to Model Risk Governance jobs in Los Angeles, CA?

For Model Risk Governance jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Model Risk Governance jobs in Los Angeles, CA look for?

The top searched job categories for Model Risk Governance jobs in Los Angeles, CA are:

Model Risk Governance jobs near you
Infographic showing various Model Risk Governance job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $102,456 per year, or $49.3 per hour.

AI Governance

East West Bank

Pasadena, CA • On-site

$130K/yr

Full-time

Re-posted 12 days ago

East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

116th of 171 rated banks

Job description

Introduction
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview
East West Bank is seeking a highly experienced AI Governance to lead the design, implementation, and operationalization of the bank's enterprise AI governance framework. This role is designed for a hands-on governance leader with deep expertise in AI governance, data governance, risk management, and regulatory compliance within highly regulated industries. The ideal candidate combines practical implementation experience with strong understanding of AI/ML technologies, enterprise controls, data risk, model risk, operational governance, and responsible AI practices. The role will partner across business, technology, data, legal, risk, compliance, audit, and operations teams to establish scalable governance processes supporting AI use cases from intake through production monitoring and enterprise adoption. This position is part of East West Bank's Enterprise AI Strategy & Transformation organization, focused on scaling AI initiatives into governed, measurable, compliant, and enterprise-ready capabilities.
Responsibilities
  • Lead the design and implementation of the enterprise AI governance framework, operating model, standards, controls, and governance processes.
  • Establish and operationalize governance processes for AI intake, inventory management, prioritization, risk assessment, technology gating, approval workflows, monitoring, issue remediation, and value realization tracking.
  • Drive governance activities across the full AI lifecycle including ideation, proof of concept, pilot, production deployment, monitoring, model review, and retirement.
  • Partner with business, technology, data, legal, risk, compliance, cybersecurity, and audit teams to ensure AI initiatives align with enterprise governance standards and regulatory expectations.
  • Define governance controls for AI-enabled solutions including data quality, lineage, privacy, explainability, human oversight, auditability, retention, access governance, and operational resiliency.
  • Establish AI governance reporting, dashboards, metrics, and executive-level transparency related to AI adoption, business value, risk exposure, control effectiveness, and remediation progress.
  • Lead governance processes related to LLM, Generative AI, RAG, intelligent automation, and advanced analytics solutions.
  • Evaluate AI technologies, platforms, and vendors to ensure alignment with enterprise architecture, security, compliance, operational, and risk standards.
  • Support regulatory, audit, model risk, and enterprise risk management activities related to AI and advanced analytics environments.
  • Translate governance policies into repeatable operational procedures, evidence requirements, controls, checklists, and implementation standards.
  • Promote enterprise AI governance awareness, adoption, and responsible AI practices across business and technology organizations.
  • Perform other duties as assigned.

Qualifications
  • 8+ years of experience in AI governance, data governance, model risk, enterprise risk, compliance, data management, or related governance disciplines within financial services, fintech, insurance, or other highly regulated industries.
  • Strong hands-on experience designing and implementing enterprise AI governance frameworks and operational governance processes in production environments.
  • Demonstrated experience operationalizing AI governance across AI intake, inventory management, prioritization, technology assessment/gating, risk assessment, approvals, monitoring, remediation, and value/metrics reporting.
  • Deep understanding of AI risk, model risk, data risk, operational risk, privacy, explainability, bias, human oversight, and responsible AI principles.
  • Strong understanding of regulatory, compliance, audit, and governance expectations related to AI, model governance, data governance, and enterprise controls.
  • Hands-on experience governing AI/ML, LLM, Generative AI, RAG, and advanced analytics solutions within enterprise environments.
  • Strong familiarity with enterprise governance tooling including Microsoft Purview, Collibra, Alation, Informatica, MLflow, model registries, monitoring platforms, and AI observability solutions.
  • Practical understanding of cloud data and AI ecosystems including Azure, Databricks, Snowflake, AWS, GCP, and modern data platforms.
  • Strong understanding of metadata management, data lineage, access governance, data lifecycle management, retention, and enterprise data quality controls.
  • Experience partnering across business, technology, risk, compliance, legal, cybersecurity, audit, and operations teams to operationalize governance at scale.
  • Strong analytical, executive communication, and stakeholder management skills with the ability to translate complex AI and governance risks into actionable business decisions.
  • Bachelor's degree in Information Systems, Computer Science, Data Management, Risk Management, Business Analytics, or related discipline.

Highly Preferred
  • Direct experience governing enterprise AI/GenAI programs within banking or highly regulated industries.
  • Strong familiarity with banking regulatory frameworks and governance expectations including SR 11-7, BCBS 239, CCAR, CECL, AML/BSA, privacy, and enterprise risk management standards.
  • Experience governing LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Bedrock, or open-source models.
  • Hands-on experience with AI governance related to RAG architectures, vector databases, AI monitoring, prompt governance, and model evaluation frameworks.
  • Experience implementing governance controls supporting AI explainability, fairness, auditability, monitoring, and evidence management.
  • Strong understanding of AI/ML lifecycle management, MLOps, model registries, and production monitoring frameworks.
  • Professional certifications such as CDMP, DAMA, Collibra, Microsoft Purview, risk management, or AI governance certifications.
  • Master's degree or advanced degree in Data Management, AI, Risk Management, Computer Science, or related quantitative discipline.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation
The base pay range for this position is USD $130,000.00/Yr. - USD $185,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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