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Ai Risk Analyst Jobs in Iowa (NOW HIRING)

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Ai Risk Analyst information

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$14

$38

$61

How much do ai risk analyst jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for ai risk analyst in Iowa is $38.03, according to ZipRecruiter salary data. Most workers in this role earn between $27.98 and $46.30 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

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 a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

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 and programming skills to ensure AI deployment aligns with safety 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.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

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 are popular job titles related to Ai Risk Analyst jobs in Iowa? For Ai Risk Analyst jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Ai Risk Analyst jobs? Cities in Iowa with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Iowa as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $79,095 per year, or $38 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

The Opportunity

We are seeking a talented Risk Prevention Analyst. The main objective of this position is to ensure timely analysis of all fraud situations affecting our financial institutions by using effective analysis and strategies to minimize fraud losses. The Risk Prevention Analyst  is responsible for providing operational risk assessments leveraging fraud mitigation tools, focusing on analysis, design, and artificial intelligence (AI) technology associated with fraud mitigation strategies, call queue creation, monitoring, support, and management using quantitative methods to review data and increase efficiency, productivity, effectiveness and savings. Seeking a skilled Risk Analyst who will provide support for external clients and internal staff on fraud detection and prevention matters, inquiries, and solutions to meet client and business needs. Additionally, the role involves writing rules and creating custom solutions for clients, monitoring fraud for their client group, identifying risk exposure based on fraud trends and data, and determining mitigation measures. This role involves direct interaction with senior-level management at the financial institution and within Velera, as well as regular coordination with the Fraud Detection Work Center (FDWC), Velera Service Centers, multiple internal departments, and 3rd party vendor personnel

Day In The Life

  • Coordinate the Risk Analytics team's tasks and ensure adherence to established turnaround times and SLAs; manage projects assigned to the team; Ensure quality of all team outputs.

  • Maintain awareness of member client fraud trends and suggest internal procedure changes to Risk Analytics Manager to remain efficient.

  • Continually supervise department workflow to ensure time-sensitive functions are meeting department standards.

  • Maintains productive relationships with all internal stakeholders including Fraud Operations, Risk Management, Product, Retail, Finance as well as external vendors

  • Advise internal contacts on sensitive issues and recommend client procedures and new product developments.

  • Maintains productive relationships with all internal stakeholders including Fraud Operations, Risk Management, Product, Retail, Finance as well as external vendors.

  • Create and deliver BI reporting to develop thorough reporting for senior leadership, boards, and examiners.

  • Work closely with a designated client list to ensure efficient and effective fraud mitigation through various communication channels such as calls and emails.

  • Uses advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.

  • Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
    Integrates/transforms disparate data sources and resolves appropriate data hygiene techniques to apply.

  • Consults external clients and internal staff on fraud detection and prevention matters, inquiries, and solutions to meet client and business needs. Writes rules, builds custom solutions for clients, and monitors fraud for their client group.

  • Identifies risk exposure associated with fraud trends that have the potential to cause financial losses and poor member experience in client portfolios to determine if mitigation measures are necessary.

  • Leverages knowledge of fraud prevention tools to consult with clients on their fraud and risk goals, review key fraud performance metrics, consult on available fraud tools, and recommend strategic means to minimize risk exposure and improve member experience.

  • Collaborates with other internal teams to serve as client advocate for fraud and risk items and special projects or mitigations.

  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

  • Responsible for reporting risks identified to the appropriate team and/or management. Additionally, responsible for managing, monitoring and reporting risks within your work area's scope, including, but not limited to Information Security risks.

  • Regular and reliable attendance is required. Some on-call work is required. This position may require early/late hours and availability during weekends to ensure client support on fraud monitoring or mitigation.

  • Remain current with industry and client fraud trends.

  • Perform other duties as assigned.

Experience

  • Two (2) years within the financial service industry required. 

  • Two (2) years professional experience in risk analytics, mitigating risk and/or fraud services required.

  • Payments processing system knowledge preferred.

  • Experience with DefenseEdge, Falcon, Fraud Detection Work Center and/or FDR system experience required.

Education

  • Associate’s Degree in Business Administration or related field or combination of education and experience required. 

Skills

  • Strong business acumen as well as and deep subject matter expertise in the fraud mitigation, analytics, recovery and payment card industry activity

  • Ability to communicate effectively in both verbal and written formats and give presentations utilizing various audiovisual support aids; ability to communicate effectively with both technical and non-technical audiences

  • Ability to manage multiple projects, work in fast-paced environment, and meet deadlines; ability to take ownership of issues in assigned area, and drive timely resolution

  • Demonstrated excellent analytical and quantitative skills

  • Ability to understand credit union feedback and put resolutions into action

  • Ability to respond quickly and adapt to changes in priorities driven by a dynamic market; ability to proactively identify opportunities to improve the consulting environment

  • Ability to exercise discretion and good judgment in making decisions

  • Proficiency in Microsoft Office applications, internet browsers, linked data analysis, Project management approaches, and First Data processing platforms

  • Ability to function in a production-based environment using various applications for identifying fraud trends

  • Ability to travel as needed, 10%

  • Ability to maintain confidentiality of materials handled

  • Ability to be flexible and work under high pressure in a complex environment

  • Ability to work on-call (24 x 7)

  • Ability to work remote part time or full time

For California, Colorado and New York Applicants:  In accordance with the Equal Pay for Equal Work Act, the expected salary range for this position is between:

$54,000.00 - $68,800.00

Actual Pay will be adjusted based on experience and other job-related factors permitted by law.


This position qualifies for the following benefits; Co-op Solutions offers a competitive Total Rewards package: 401(k) with generous company match, Health, Dental, and Vision Insurance options, Health Savings Account/Flexible Spending Account, Life Insurance, Short- and Long-Term disability benefits, Pregnancy and Parental Leave, Tuition Reimbursement, Paid Time Off (PTO), Paid Holidays, Community Volunteer Time Off, and an Employee Assistance Program.