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Ai Risk Analyst Jobs in California (NOW HIRING)

DoubleLine, LP

Analyst, Risk Management

Los Angeles, CA · On-site

$85K - $105K/yr

Full TimeEducation Level: 4 Year DegreeThe Risk Analyst will participate in a fast-paced, multi ... Experience using generative AI or LLMs for coding, research, data analysis, or other work in ...

Intuit

Staff Fraud Risk Analyst - Fintech

Mountain View, CA · On-site

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be ... You will be an active proponent of leveraging AI and automation in developing analytical insights ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in California

Ai Risk Analyst information

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$39

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How much do ai risk analyst jobs pay per hour?

As of Sep 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.

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.

Analyst, Risk Management

Los Angeles, CA • On-site

DOUBLELINE GROUP LP
Finance and Insurance • 201 - 500 employees
Learn more about DOUBLELINE GROUP LPexternal

$85K - $105K/yr

Full-time

Posted 8 days ago

Job description

The Risk Analyst will participate in a fast-paced, multi-task environment, collaborating with analysts, traders, and portfolio managers at a leading fixed-income asset manager. The ideal candidate will have a strong foundational understanding of fixed-income markets, associated investment risks, and fundamental financial and economic concepts. He/she will support the investment teams by implementing analytical techniques to scrutinize data sets and analyze portfolios and securities across a variety of asset classes.  The Risk Analyst will present analysis to the investment team in a clear and concise manner.  The ideal candidate should have a strong passion for financial markets, specifically research and insight generation.

Job Functions

  • Conduct surveillance of primarily fixed-income positions and track evolving risk factors

  • Develop and maintain analytical solutions to scrutinize large data sets

  • Interact with portfolio managers, traders and other analysts to perform collaborative projects

  • Prepare reports for internal portfolio management, external clients and consultants in a timely manner

  • Carry out top-down and bottom-up research

  • Bachelor’s degree and 1+ years of experience in the fixed-income industry

  • Strong technical skills in Python and R

  • Experience using generative AI or LLMs for coding, research, data analysis, or other work in professional or academic settings is preferred

  • Knowledge of fixed-income subject matters and risks

  • Ability to prioritize time and tasks effectively and meet deadlines

  • Ability to present analysis clearly and effectively

  • Excellent interpersonal, written and verbal communication skills

  • Team-oriented and must possess strong integrity and professionalism

Base Salary Range

The estimated base salary range for this position is $85,000 – $105,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.

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