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Ai Risk Analyst Jobs in Oxnard, CA (NOW HIRING)

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai risk analyst in Oxnard, CA is $42.87, according to ZipRecruiter salary data. Most workers in this role earn between $31.59 and $52.16 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 cities near Oxnard, CA are hiring for Ai Risk Analyst jobs?

Cities near Oxnard, CA with the most Ai Risk Analyst job openings:

Senior Sales Engineer

ICEKREDIT INC

Westlake Village, CA • Remote

Full-time

Re-posted 5 days ago


Job description

Job Description
IceKredit is looking for an experienced and driven Senior Sales Engineer to join our team with a focus on the online and lending industry. In this Senior Sales Engineer role, you will lead sales and business development efforts for AI risk management solutions, supporting organizations in identifying, evaluating, and addressing risks related to adopting artificial intelligence technologies. You will act as a trusted advisor, guiding clients through the challenges of AI governance, compliance, and risk mitigation. The ideal candidate will have a robust background in risk management solutions, a history of strong sales achievements, and established connections with key decision-makers in the industry. Success in this position requires expertise in managing complex sales cycles and building lasting client relationships.
Key Responsibilities
·      Develop and execute sales strategies to promote AI risk management products and services to enterprise clients.
·      Educate clients on best practices for AI governance, regulatory compliance, and ethical considerations.
·      Drive new business development and revenue growth by selling advanced risk management products and solutions to online lenders, FinTech’s, and related organizations.
·      Leverage existing relationships with C-level executives and key decision makers to identify, qualify, and close new opportunities.
·      Serve as a trusted technical advisor, articulating the value proposition of our offerings and tailoring solutions to meet client needs.
·      Collaborate with product, marketing, and technical teams to ensure customer requirements are met and solutions are delivered successfully.
·      Lead presentations, product demonstrations, and technical discussions with prospective clients.
·      Stay up to date with industry trends, regulatory changes, and competitive landscape in the online lending and risk management space.
·      Document all sales activities, pipeline, and forecasting in CRM systems, providing regular updates to management.

Required Qualifications
·      Bachelor’s Degree in Business, Finance, Engineering, Marketing, or a related field.
·      5+ years of experience in sales roles within the online, lending, or financial technology industries.
·      Proven success in selling risk management products and solutions, with a history of meeting or exceeding sales targets.
·      Extensive network and established relationships with key decision makers (including executives and senior management) at major lending and online financial organizations.
·      Excellent communication, negotiation, and presentation skills.
·      Negotiate contracts and close sales to meet or exceed targets.
·      Collaborate with team members to improve sales strategies and customer satisfaction.
·      Ability to navigate complex sales cycles and manage multiple stakeholders.
·      Strong understanding of online lending processes, risk management needs, and industry best practices.
·      Willingness to travel as required to meet with clients and attend industry events.
Preferred Qualifications
·      Advanced Degree (MBA, MS, etc.) is a plus.
·      Experience with SaaS, cloud-based risk solutions, or analytics platforms.
·      Demonstrated ability to build and maintain long-term client relationships.
What We Offer
·      Competitive base salary plus performance-based incentives.
·      Comprehensive benefits package.
·      Opportunities for career advancement and professional development.
·      Dynamic and collaborative work environment.
If you are interested in this sales position, please follow the steps below to ensure your application is considered:
  1. Submit Your Resume to: careers@icekredit.ai
  2. Please prepare an up-to-date resume highlighting your relevant experience, skills, and achievements in sales or related fields.
  3. Include a cover letter explaining why you are interested in this position and how your experience makes you a strong candidate.
  4. Provide Contact Information: Ensure your resume includes your current phone number and email address so we can reach you for the next steps.
  5. Email your resume and cover letter to the address provided in the job posting. Please use the subject line “Sales Position Application – [Your Name]”.
  6. If available, include professional references who can speak to your skills and work ethic. 
What to Expect Next
Once your application is received, our team will review your materials. If your qualifications match our requirements, we will contact you to arrange an interview.
Thank You for your interest in joining our Sales Team!