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Ai Risk Analyst Jobs in Indiana (NOW HIRING)

... analytical and problem solving skills. 5. Ability to deal with ambiguous situations and issues. 6. ... CNA utilizes AI-enabled technology during the recruiting process. For more information, please ...

Technical Architect - Data, Analytics & AI

Carmel, IN ยท Hybrid

$63.75 - $81.75/hr

Ensure responsible and compliant AI adoption, aligned with AI governance, model risk management, data privacy, and security controls . * Guide the integration of AI/ML capabilities into analytics ...

Sr. Security Analyst

Elkhart, IN

$91K - $119K/yr

... risk and impact reporting. * Privileged Access Management (PAM) & Identity Threat Protection ... AI Security & Detection Engineering - Establish AI Security guardrails for safe adoption of AI ...

Sr. Security Analyst

Elkhart, IN ยท On-site

$91K - $119K/yr

... risk and impact reporting. * Privileged Access Management (PAM) & Identity Threat Protection ... AI Security & Detection Engineering - Establish AI Security guardrails for safe adoption of AI ...

Sr. Security Analyst

Elkhart, IN ยท On-site

$91K - $119K/yr

... risk and impact reporting. * Privileged Access Management (PAM) & Identity Threat Protection ... AI Security & Detection Engineering - Establish AI Security guardrails for safe adoption of AI ...

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Ai Risk Analyst information

See Indiana salary details

$14

$38

$62

How much do ai risk analyst jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for ai risk analyst in Indiana is $38.52, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $46.88 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 Indiana? For Ai Risk Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Indiana look for? The top searched job categories for Ai Risk Analyst jobs in Indiana are:
What cities in Indiana are hiring for Ai Risk Analyst jobs? Cities in Indiana with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $80,131 per year, or $38.5 per hour.
Financial Advisor (CFA or CFP) - AI Trainer

Financial Advisor (CFA or CFP) - AI Trainer

micro1 AI

Fishers, IN โ€ข Remote

$80 - $110/hr

Part-time

Posted 2 days ago


Job description

Job Title: Financial Advisor (CFA or CFP)


Job Type: Contractor - US ONLY


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Evaluate and review realistic advisory scenarios involving budgets, emergency funds, debt management, retirement planning, and investment decisions tailored to mainstream households.
  2. Assess AI-generated recommendations for suitability, clarity, compliance, and actionable practicality for W-2 earners and middle-income families.
  3. Document how actual advisor-client conversations unfold, including prioritizing goals, discussing tradeoffs, and walking clients through decision points.
  4. Detail decision rules, rules of thumb, and benchmarks commonly used in practice (e.g., cash reserve targets, debt payoff sequencing, retirement savings rates).
  5. Deliver clear, plain-language written feedback to enhance AI explanations, next steps, and client communication.
  6. Identify and flag compliance or risk issues, emphasizing a fiduciary, client-first approach and appropriate referral scenarios (CPA, attorney, insurance).
  7. Contribute to the development of workflows and processes that reflect best practices in everyday personal finance advising.


Required Skills and Qualifications:

  1. 3+ years of hands-on, client-facing experience providing holistic financial planning to mainstream households in roles such as Financial Advisor, Wealth Advisor, or Personal Financial Consultant.
  2. Expertise in budgeting, cash flow analysis, debt management, retirement savings strategies, college planning, and basic risk management (insurance needs analysis).
  3. CFPยฎ certification strongly preferred (or CFP exam passed with substantial relevant experience); CFA, ChFC, or similar planning credentials considered with strong mainstream client work.
  4. Exceptional written and verbal communication skills, with a talent for breaking down complex topics for non-experts.
  5. Demonstrated commitment to fiduciary standards, compliance, and high-integrity client service.
  6. Experience mentoring others, developing workflows, or standardizing planning processes.
  7. Comfort working asynchronously and independently in a remote setting.


Preferred Qualifications:

  1. Prior experience in roles blending financial planning and ongoing coaching, such as workplace financial consultant or advisor at national firms.
  2. Background designing or improving standardized planning processes or digital advisory journeys.
  3. Familiarity with personal finance apps, digital advice platforms, or AI-driven tools and a strong interest in innovation within the advisory space.