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Ai Risk Analyst Jobs in Everett, WA (NOW HIRING)

The role We're adding a Risk Analyst to our team to help us build and scale our user-facing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The role We're adding a Risk Analyst to our team to help us build and scale our user-facing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The Analyst reports to the Risk Mitigation Research Manager and works collaboratively with ... Experience using AI-assisted research tools or analytics platforms preferred. Knowledge, Skills ...

... AI usage, contractual controls, and business continuity capabilities; document risk ratings and ... Who You Are * You're an analytical problem solver with a strong understanding of information ...

AI Security Engineer

Seattle, WA ยท On-site

$88 - $142/hr

... Risk Management Framework (AI RMF), the NIST Generative AI Profile, and ISO/IEC 42001.**[15 ... root cause analysis.**[5%] Paved-Road Patterns, Documentation & Continuous Improvement ...

... Risk Management Framework (AI RMF), the NIST Generative AI Profile, and ISO/IEC 42001. [15 ... VPAT assessment, SOC 2 report analysis, data processing agreement reviews, and security ...

... AI-assisted workflows that carry much of the operational load, and you develop the analysts and ... Own the fraud risk strategy and the end-to-end defense architecture across the payments stack ...

Cyber Risk Lead

Seattle, WA ยท On-site

$180 - $210/hr

... AI infrastructure and build the risk function from the ground up. This senior individual contributor role sits at the intersection of risk management, statistical analysis, engineering, and ...

Drive data-driven solution development by analyzing complex datasets to extract insights and inform ... Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and ...

Drive data-driven solution development by analyzing complex datasets to extract insights and inform ... Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and ...

Drive data-driven solution development by analyzing complex datasets to extract insights and inform ... Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and ...

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Ai Risk Analyst information

See Everett, WA salary details

$16

$44

$72

How much do ai risk analyst jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai risk analyst in Everett, WA is $44.72, according to ZipRecruiter salary data. Most workers in this role earn between $32.93 and $54.42 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 Everett, WA?

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

What cities near Everett, WA are hiring for Ai Risk Analyst jobs?

Cities near Everett, WA with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Everett, WA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $93,024 per year, or $44.7 per hour.

Risk Analyst (Seattle on-site only)

Grid

Seattle, WA โ€ข On-site

$70K - $110K/yr

Full-time

Re-posted 20 days ago


Job description

About us
Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.

Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office!

The role
We’re adding a Risk Analyst to our team to help us build and scale our user-facing products. You'll work closely with product, machine learning, and business operations to help people optimize their taxes with 0 effort, bridge gaps between paychecks, build their credit score, and more!

With access to a robust pipeline of excited paying users with high intent to use Grid, you'll have a significant impact on our users' happiness and financial wellbeing.
 
The team
We're focused on serving our users above all else all while building a robust business. To this end, Grid's team members experience high levels of autonomy and ownership, and as a company we value curiosity, learning and growth.

At Grid, you'll be surrounded by a team that is motivated, mission-driven and pragmatic.
What you will be doing
  • Product Safety: We believe that great products are simple to understand and use. You'll evaluate patterns and accounts in our ecosystem to ensure that our platform maintains a safe environment for all our customers.
  • Iterative and skeptical: We practice a dynamic yet data-driven approach to everything we do. We may believe a process or policy is correct today, but with new information quickly change our mind. As a Risk Analyst at Grid, you'll demonstrate sound judgement while questioning existing policies and procedures for improvement.
  • Data Analysis: As a data-driven product and culture, we have robust data pipelines and analytics infrastructure. To be successful at Grid, you'll utilize SQL and other analysis tools to evaluate performance and anomalies.
  • Risk Tolerance: As an early stage company, one of our advantages is speed and the lack of bureaucracy. Not everything will be successful, so the skill to cut losses early and move forward will be instrumental in your success.
About You
  • Startup Person: You seek high growth opportunities and are constantly learning about the world around you. You feel at home with dynamic decision making and an iterative approach.
  • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it.
  • First Principles: Tendency to understand the world by taking a first-principles approach.
  • Experience prioritizing customers and user experience: We're looking for people who make complicated things simple. Financial services tend to be unnecessarily complex by default. We aspire towards lightweight UX that's quick and fun for our users.
  • Analytically oriented: Proven experience in analytics. We're not talking about just pulling data accurately, but asking the right questions with the ability to answer them. This role is highly quantitative.
  • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for products and experiences.
  • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.
Benefits
Medical
Dental
Vision
401K

Salary Range
$70,000 - $110,000 per year
To keep things simple, at Grid we're looking for people that want to change the world for the better and have the boldness to tackle complex problems with creative solutions. Additionally, we're adamant to only add team members that have a passion for our customers as well as data + financial products.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.