ZipRecruiter

Log In

1

Ai Risk Analyst Jobs in California (NOW HIRING)

TikTok

Risk Analyst

San Jose, CA · On-site

Interpret, analyze, and assess risks, emergency situations, and potential challenges. Develop and ... Explore, design, and iterate AI/Agent-assisted operational workflows, including automated risk ...

LPL Financial

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 ...

TikTok

Risk Analyst

San Jose, CA · On-site

$108K - $208K/yr

Define evaluation criteria and feedback loops for AI-enabled governance solutions, including ... Analytics, or a related quantitative field. - 1+ years of experience in either: - Risk management ...

Intuit

Staff Fraud and Risk Analyst

Mountain View, CA · On-site

Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines ... Retrieve, analyze, and interpret data from various sources to determine conclusions and/or ...

Intuit

Staff Fraud and Risk Analyst

Mountain View, CA · On-site

Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines ... Retrieve, analyze, and interpret data from various sources to determine conclusions and/or ...

Intuit

Staff Fraud and Risk Analyst

Mountain View, CA · On-site

Develop strong AI risk governance frameworks with expansion-ready controls and oversight guidelines ... Retrieve, analyze, and interpret data from various sources to determine conclusions and/or ...

next page

Showing results 1-20

All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in California

Ai Risk Analyst information

See California salary details

$15

$39

$65

How much do ai risk analyst jobs pay per hour?

As of Sep 12, 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.

What is an AI risk analyst?

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 skills and qualifications are needed to be an AI risk analyst?

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.

How does an AI risk analyst 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 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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

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 understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in California?

For Ai Risk Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Risk Analyst jobs in California look for?

The top searched job categories for Ai Risk Analyst jobs in California are:

What cities in California are hiring for Ai Risk Analyst jobs?

Cities in California with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in California as of September 2026, with employment types broken down into 74% Full Time, 8% Temporary, and 18% Contract. Highlights an 88% In-person, 5% Hybrid, and 7% Remote job distribution, with an average salary of $83,107 per year, or $40 per hour.

Risk Analyst

San Jose, CA • On-site

TikTok
Arts, Entertainment, and Recreation • 1 - 5K employees
Learn more about TikTokexternal

Other

Posted 5 days ago

TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About the team

We are part of Global Monetization Product and Technology-Business Integrity-Governance. The Actor Strategy team focuses on securing the ad platform by tackling risks in the advertising ecosystem—such as fraud, impersonation, account takeover (ATO), over-spending, small bad debts, and spam registrations. We balance risk management with user experience to support TikTok Ads' healthy growth. The team continuously enhances its capabilities through platformization, intelligence, and automation, driving smart solutions powered by AI agents, machine learning models, and strategic rules.

Responsibilities
  • Interpret, analyze, and assess risks, emergency situations, and potential challenges. Develop and implement risk control operational plans while balancing business revenue objectives with effective risk control.
  • Explore, design, and iterate AI/Agent-assisted operational workflows, including automated risk signal discovery, evidence extraction, case triage, policy reasoning, anomaly monitoring, and strategy recommendation. Define evaluation criteria and feedback loops for AI-enabled governance solutions, including precision, recall, operational efficiency, and business impact.
  • Strategize, implement, and maintain risk program initiatives that adhere to organizational objectives. Take ownership of the project outcomes by setting clear targets, tracking progress, and holding the line to keep critical initiatives on track.
  • Collaborate with stakeholders across product, engineering, algorithms, and policy to improve existing systems and implement new solutions to reduce and mitigate risk.
Minimum Qualifications
  • Thrives in fast-paced, ambiguous environments and can lead cross-functional initiatives end-to-end.
  • Skilled at communicating and influencing across teams and regions; able to balance partner objectives with risk reduction to forge win-win outcomes.
  • Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Data Science, Business Analytics, or a related quantitative field.
  • 1+ years of experience in either:
    • Risk management — Content, account, ads, fraud, advertiser integrity, or post-conversion risk, with strong risk sensitivity and rapid response; or
    • Strategy/management consulting — Proven ability to distill competing stakeholder needs into clear strategic priorities and actionable next steps.
Preferred Qualifications
  • Strong proficiency in data-driven analysis and statistical methods, with hands-on SQL and/or Python experience to diagnose problems, evaluate strategies, and inform decisions.
  • Practical experience with AI/LLM applications — including prompt engineering, AI-assisted analysis, workflow automation, agent-based tools, or human-in-the-loop review systems.
#J-18808-Ljbffr

What TikTok employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply