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Governance Risk Compliance Internship Jobs in Riverside, CA

Governance, Risk & Compliance * Ensure AI implementations align with mortgage regulatory requirements and governance standards. * Design controls around explainability, auditability, model monitoring ...

Identify process improvements to enhance forecasting accuracy. 4. Governance, Risk & Audit Support Partner with Finance, Risk, Compliance, and Vendor Management to ensure financial controls extend ...

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

Governance, Risk & Compliance * Ensure AI implementations align with mortgage regulatory requirements and governance standards. * Design controls around explainability, auditability, model monitoring ...

Enterprise Risk Strategy & Governance * Develop, lead, and continually improve Newegg's Enterprise ... Risk Operations, Controls & Compliance * Ensure internal controls are operating effectively and ...

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Governance Risk Compliance Internship information

See Riverside, CA salary details

$27.6K

$48.8K

$77.2K

How much do governance risk compliance internship jobs pay per year?

As of Jul 3, 2026, the average yearly pay for governance risk compliance internship in Riverside, CA is $48,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,700.00 and $50,600.00 per year, depending on experience, location, and employer.

What is a Governance Risk Compliance Internship?

A Governance Risk Compliance (GRC) Internship is an entry-level position where interns assist organizations in managing risks, ensuring regulatory compliance, and supporting governance processes. Interns typically help with tasks such as auditing internal controls, reviewing compliance procedures, analyzing risk assessments, and preparing reports for management. This role provides hands-on experience in areas like legal regulations, policy development, and enterprise risk management, making it valuable for students interested in business, law, or information security. The internship helps build skills in problem-solving, communication, and understanding regulatory frameworks across industries.

What are the key skills and qualifications needed to thrive as a Governance Risk Compliance Intern, and why are they important?

To thrive as a Governance Risk Compliance Intern, you typically need a background in business, finance, or a related field, along with knowledge of risk management principles and regulatory frameworks. Familiarity with tools like GRC software platforms (e.g., RSA Archer), Microsoft Excel, and basic data analysis is often expected. Strong analytical thinking, attention to detail, and clear communication help interns effectively identify risks and collaborate with teams. These skills and qualities are vital for supporting organizational compliance, minimizing risks, and ensuring adherence to regulations.

What is the difference between Governance Risk Compliance Internship vs Compliance Analyst?

AspectGovernance Risk Compliance InternshipCompliance Analyst
CredentialsTypically pursuing or recent graduate, some certifications optionalRelevant certifications like CCEP, CRC often preferred
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, more responsibility
Employer & Industry UsageInternships offered by companies in finance, healthcare, etc.Commonly employed in regulated industries like finance, healthcare

The Governance Risk Compliance Internship provides hands-on experience for students or recent graduates exploring compliance roles, often with limited responsibilities. In contrast, a Compliance Analyst is a full-time professional responsible for implementing and monitoring compliance programs. While both roles focus on governance and risk, the internship is a stepping stone, whereas the analyst role involves more advanced duties and certifications.

What types of projects or tasks might I work on during a Governance Risk Compliance (GRC) internship?

As a GRC intern, you can expect to assist with projects such as risk assessments, policy reviews, compliance audits, and the development of control documentation. Interns often work closely with compliance officers and risk managers to support ongoing monitoring activities and help ensure the organization meets regulatory requirements. You'll likely be involved in analyzing data, preparing reports, and participating in team meetings, providing a valuable opportunity to learn about industry regulations and internal controls. This role offers exposure to a broad range of business areas and is an excellent foundation for a career in risk management or compliance.
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Other

Posted 22 days ago


Job description

Summary   

We are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation to architect, build, and deploy intelligent systems that could transform our business.

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower and broker experience, enhance compliance, and increase EBITDA through scalable automation.

The ideal candidate combines expertise in LLMs, agentic architectures, orchestration frameworks, and workflow automation with a practical understanding of enterprise systems integration and regulated financial services environments.

 

Essential Duties and Responsibilities

Agentic AI Architecture & Development

  • Design, develop, and deploy AI agents and multi-agent systems to automate mortgage workflows across the loan lifecycle.
  • Build intelligent orchestration frameworks capable of autonomous decision support, task execution, and workflow routing.
  • Develop AI copilots and internal assistants for underwriting, loan processing, sales, operations, secondary markets, compliance, capital markets, and executive leadership.
  • Create AI-powered exception handling and escalation frameworks for complex loan scenarios.

Workflow Automation

  • Identify, redesign, and automate high-friction operational workflows across the mortgage platform.
  • Develop automation solutions for loan intake, document classification, income and asset analysis, credit review, conditions management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes.

LLM & AI Engineering

  • Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs.
  • Build prompt orchestration, memory systems, and agent reasoning frameworks.
  • Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and decision support.

Systems Integration

  • Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms.
  • Develop APIs and middleware to enable seamless AI workflow orchestration.

Governance, Risk & Compliance

  • Ensure AI implementations align with mortgage regulatory requirements and governance standards.
  • Design controls around explainability, auditability, model monitoring, and human-in-the-loop approvals.

Strategy & Innovation

  • Help define and execute the enterprise AI strategy.
  • Prioritize high-ROI automation opportunities that improve revenue, pull-through, turn times, cost-to-originate, scalability, and EBITDA.

 

Required Qualifications

 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • 5+ years of software engineering, AI engineering, or machine learning experience.
  • 2+ years building LLM-based applications or agentic AI systems.
  • Experience with orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or MCP-based architectures.
  • Strong Python development skills and experience with APIs, vector databases, prompt engineering, RAG architectures, and workflow automation.

 

Preferred Qualifications

  • Experience in mortgage lending, fintech, banking, or financial services.
  • Familiarity with Non-QM underwriting guidelines including DSCR, Bank Statement, Asset Qualifier, ITIN, Foreign National, and Jumbo products.
  • Experience with mortgage LOS platforms and deploying AI in regulated environments.

Technical Stack (Preferred)

  • Languages: Python, SQL, JavaScript/TypeScript
  • AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face
  • Automation: n8n, UiPath, Zapier, Make, Apache Airflow
  • Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD