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Ai Risk Analyst Jobs in Indiana (NOW HIRING)

Lead fraud analytics and oversee detection systems and AI-driven tools to identify emerging patterns while minimizing false positives and customer friction. * Ensure fraud risk management is embedded ...

Lead fraud analytics and oversee detection systems and AI-driven tools to identify emerging patterns while minimizing false positives and customer friction. * Ensure fraud risk management is embedded ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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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 Jul 13, 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.

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 high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

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 familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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.

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 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 July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $80,131 per year, or $38.5 per hour.
Senior Manager, Global Risk Management, Enterprise Fraud Risk

Senior Manager, Global Risk Management, Enterprise Fraud Risk

Circle

Remote

Full-time

Re-posted 13 days ago


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

What you'll be responsible for:

As part of the Global Risk Management (GRM) team, you will play a key role in protecting Circle from internal and external fraud risk. You will own Circle's fraud risk management program, oversee fraud analytics and detection capabilities, and partner across functions to ensure fraud risk is proactively managed in line with regulatory obligations, enterprise risk appetite, and Circle's global footprint. You will be accountable for ensuring Circle's fraud risk program meets applicable regulatory and licensing obligations, including maintaining documentation, investigative rigor, and timely regulatory reporting.

What you'll work on:

  • Define and execute Circle's global fraud risk strategy, aligned with enterprise risk appetite, regulatory standards, and local licensing requirements (e.g., money transmission, e-money, payment services, and virtual asset regulations).

  • Develop and maintain the enterprise fraud risk framework, policies, and controls, covering threats such as synthetic identity fraud, account takeovers, authorized push payment fraud, internal misconduct, social engineering, scams, and emerging typologies (e.g., deepfakes, AI-driven impersonation, mule networks).

  • Lead the design and maintenance of Circle's documented Fraud Risk Management Program, addressing both internal and external fraud consistent with Circle's regulatory obligations across jurisdictions.

  • Lead or partner with relevant stakeholders (e.g., Compliance, Legal, Finance, Talent, Security) to investigate suspected or actual internal wrongdoing, ensuring timely incident reporting to the NYDFS, or other regulatory requirements and maintenance of complete records for regulator review.

  • Oversee or support investigations into suspected or actual internal or external fraud, escalation protocols, and retention of comprehensive case documentation in line with regulatory expectations.

  • Oversee a comprehensive fraud risk management program that demonstrates compliance with regulatory expectations, including those from FinCEN, OCC, FCA, MAS, AMF, ACPR, and other key global regulators.

  • Lead fraud analytics and oversee detection systems and AI-driven tools to identify emerging patterns while minimizing false positives and customer friction.

  • Ensure fraud risk management is embedded across Circle's control environment, including financial crime compliance (AML/CTF), cybersecurity, product risk, and operational resilience programs.

  • Conduct fraud risk assessments across products, customer segments, channels, and geographies, ensuring risks are identified, mitigated, and reported to senior management and regulators where required.

  • Define and monitor key fraud metrics (KPIs and KRIs) to assess performance, support enterprise risk reporting, and evidence compliance with ongoing regulatory obligations.

  • Serve as a key liaison with regulators, law enforcement, and industry partners, representing Circle in fraud-related matters and ensuring Circle meets its regulatory disclosure, escalation, and remediation duties.

  • Ensure the fraud program remains dynamic and continuously evolving, with regular effectiveness reviews, testing, and updates to reflect emerging threats, operational changes, and evolving regulatory expectations globally.

  • Drive continuous improvement through root-cause analysis of incidents, technology innovation, and process optimization.

What you'll bring to Circle:

  • 10+ years of experience in fraud risk management in fintech, payments, banking, or financial services.

  • Strong understanding of fraud threats, including synthetic identities, deepfakes, account takeovers, scams, and transaction fraud.

  • Proven experience managing fraud risk under global regulatory frameworks (e.g., U.S. AML Act, FinCEN guidance, PSD2, MiCA, UK Fraud Act, MAS PSN01, FATF standards).

  • Hands-on experience with fraud detection systems, data analytics, and AI/ML-driven risk solutions.

  • Demonstrated ability to assess risks, design controls, and deliver enterprise-level reporting aligned to regulatory expectations.

  • Strong cross-functional collaboration skills with the ability to influence senior stakeholders in Risk, Compliance, Legal, and Technology.

  • Excellent communication skills-able to translate complex risk and regulatory concepts for diverse audiences.

  • Bachelor's degree in Business, Finance, Risk, or related field (advanced degree or certifications such as CFE, CAMS, or ACAMS preferred).

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $172,500-$222,500

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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