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Ai Risk Analyst Jobs in California (NOW HIRING)

AVP, AI Risk and Governance

San Diego, CA · On-site +1

$117K - $195K/yr

At LPL Financial, we are seeking a dynamic and highly analytical Assistant Vice President (AVP) to join our Artificial Intelligence (AI) Risk and Governance team. The AVP plays a key role in the ...

Risk Analyst, Temp Work Schedule: Monday - Friday, 8:50 am to 5:00 pm Pay Rate: $37.84 per hour Job ... Kelly may use AI-powered tools during the recruitment and hiring process. For full details ...

Agentic Risk Analyst

San Francisco, CA · On-site

$288K - $425K/yr

Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The ... About the Role As an Agentic Risk Analyst, you will shape OpenAI's operating picture for current ...

You'll leverage advanced querying, AI-assisted analytics, and predictive portfolio performance monitoring, identify emerging credit trends, and develop forward-looking risk indicators that inform our ...

They are seeking an Insider Risk Analyst to protect their advanced technologies by conducting ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

Build innovative data handling, management and analysis tools from scratch with AI support. Requirements: * 1-3 years of relevant experience in risk, portfolio analytics, middle office, derivatives ...

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Ai Risk Analyst information

See California salary details

$15

$39

$65

How much do ai risk analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ai risk analyst in California is $39.96, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $48.65 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What cities in California are hiring for Ai Risk Analyst jobs? Cities in California with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in California as of July 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $83,107 per year, or $40 per hour.
AVP, AI Risk and Governance

AVP, AI Risk and Governance

LPL Financial

San Diego, CA • On-site, Remote

$117K - $195K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


LPL Financial rating

7.5

Company rating: 7.5 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

115th of 148 rated financial services


Job description

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. Fromcutting-edgeresources and a collaborative environment to the freedom to make an impact and more,you'llfind the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview:

At LPL Financial, we are seeking a dynamic and highly analytical Assistant Vice President (AVP) to join our Artificial Intelligence (AI) Risk and Governance team. The AVP plays a key role in the enterprise AI governance program, accountable for assessing and overseeing AI risk across LPL's business functions, maintaining a robust and defensible governance framework, and collaborating across functions to enable responsible AI adoption at pace. This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP will collaborate with technology stakeholders to support a robust risk culture. The ideal candidate has a strong background in enterprise, technology and model risk management frameworks.

Roles & Responsibilities:

  • Support in maintaining and evolving the AI governance framework, policies and standards in alignment with current and emerging regulatory landscape and frameworks.
  • Conduct risk assessments and gap analyses on AI solutions to identify and evaluate risks and ensure compliance with internal policies and external regulations.
  • Evaluate solutions for AI governance practices such as bias mitigation techniques and explainability methodologies.
  • Define and challenge control expectations for AI development and deployment, including cybersecurity and broader technology governance processes
  • Assist in establishing and overseeing AI risk governance frameworks, including control frameworks, governance standards, policy development and committee management.
  • Collaborate with cross functional teams to ensure AI models align with AI risk frameworks and requirements.
  • Ensure adherence to industry best practices, such as NIST AI Risk Management Framework, ISO AI standards as well as emerging AI regulations.
  • Produce and support the production of materials for executive-level risk and governance committees.
  • Coordinate across risk and business stakeholders to ensure framework consistency.
  • Support the creation of AI related training, communications and awareness campaigns.
  • Adapt to the evolving needs of business partners and changes within the Risk & Compliance organization.

What are we looking for?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidatespursue greatness, act with integrity, and aredriven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where wewin togetherandcreate and share joyin our work.

Requirements:

  • Bachelor's degree in computer science, Engineering, Risk Management, Economics, Finance, or a related discipline.
  • 5-8+ years in risk management or compliance-related roles within financial services
  • Experience with AI Risk and Governance

Core Competencies:

  • Strong analytical skills, both quantitative and qualitative, with high attention to detail and accuracy. Advanced level understanding of AI technologies, models and operational risks in the use of AI systems.
  • Excellent written and verbal communication skills, with experience preparing executive-level presentations.
  • Strong problem-solving skills with the ability to evaluate business opportunities and results against established objectives.
  • Ability to drive change and facilitate critical thinking to create solutions for complex business challenges.
  • In-depth knowledge of AI-related regulations, standards and industry best practices, such as the NIST AI Risk Management Framework and ISO AI standards is preferred.

Preferences:

  • Relevant certifications such as Certified Information Systems Security Professional (CISSP), Certified Risk Management Professional (CRMP), or similar are a plus.

Pay Range:

$117,214.00 - $195,288.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.


At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.


For further information about LPL, please visit www.lpl.com.


Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.


Information on Interviews:

LPL will only communicate with a job applicant directly from an@lplfinancial.comemail address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at(855) 575-6947.


EAC 5.19.26


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