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Ai Risk Analyst Jobs in Romeoville, IL (NOW HIRING)

... analytics * Experience translating regulatory or risk requirements into user stories or product ... Manager - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk & Forensic ...

AI Cyber/Security Architect

Chicago, IL ยท Hybrid

$122K - $228K/yr

Work with cybersecurity and risk peers to ensure established AI security controls align to a given ... Experience securing AI/ML or advanced analytics platforms * Strong understanding of AI system ...

... analytics * Experience translating regulatory or risk requirements into user stories or product ... Senior Consultant - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk ...

Director- Applied AI

Lisle, IL ยท Hybrid

$250K/yr

... Analytics. Platform Architecture & Technology Oversight * Partner with the Principal AI/Agent ... Ensure risk tiering; FERPA/HIPAA/GLBA review gates, red-team coordination, model cards, and bias ...

Director- Applied AI

Lisle, IL ยท On-site

$250K/yr

... Analytics. Platform Architecture & Technology Oversight * Partner with the Principal AI/Agent ... Ensure risk tiering; FERPA/HIPAA/GLBA review gates, red-team coordination, model cards, and bias ...

... Analytics. Platform Architecture & Technology Oversight * Partner with the Principal AI/Agent ... Ensure risk tiering; FERPA/HIPAA/GLBA review gates, red-team coordination, model cards, and bias ...

Sr. Cybersecurity Operational Risk Officer

Chicago, IL ยท On-site

$103K - $132K/yr

Essential Functions Evaluate risk and control identification within key processes and perform gap ... Analyze and assess cybersecurity and AI-related risks associated with new products or services ...

Showing results 21-40

Ai Risk Analyst information

See Romeoville, IL salary details

$15

$41

$67

How much do ai risk analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai risk analyst in Romeoville, IL is $41.28, according to ZipRecruiter salary data. Most workers in this role earn between $30.38 and $50.24 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 Romeoville, IL are hiring for Ai Risk Analyst jobs?

Cities near Romeoville, IL with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Romeoville, IL as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $85,861 per year, or $41.3 per hour.

Senior Analyst, Operational Risk Management

Golubcapital

Chicago, IL โ€ข On-site

Full-time

Retirement, PTO

Re-posted 27 days ago


Job description

Position Information

Hiring Manager:

Vice President

Department:

Operational Risk Management

Department Overview

The Operational Risk Management ("ORM") Department is responsible for the Risk Mitigation Framework. The Risk Mitigation Framework provides the process, tools and approach that are needed to support and enhance the control environment required to minimize operational risks related to Golub Capital's non-investment functions. The Risk Mitigation Framework was created to minimize material losses, provide process and internal control oversight, and anticipate potential material loss events. The Risk Mitigation Framework is comprised of a set of consistent and repeatable elements that allow Golub Capital to identify, assess, mitigate, and report on the operational risk profile of the firm. The Risk Mitigation programs include Risk and Control Self-Assessment ("RCSA"), Issue Management ("IM"), Vendor Risk Management ("VRM"), Business Continuity Management ("BCM"), and Internal Control Testing ("ICT").

Position Responsibilities

This position supports the Firm's enterprise risk management efforts by assisting in the identification, assessment, monitoring and reporting of risks across Golub Capital. The role will help ensure the effectiveness of risk management and control processes, with primary emphasis on the Internal Control Testing Program and related risk assurance activities.

The role requires strong management skills to assist with developing detailed plans, tracking progress, managing obstacles and ultimately delivering enhancements to the Golub Capital Operational Risk Management Framework. Exceptional verbal and written communication skills are required as this is an internal client-facing role that requires communication with users at all levels of the organization.

Responsibilities include but are not limited to:

  • Assisting in the implementation and maintenance of Golub Capital's ORM risk mitigation framework, working closely with ORM team leads and internal key stakeholders
  • Assisting in all risk mitigation programs with a dedicated focus on the Internal Control Testing program
  • Performing periodic testing to determine effectiveness of business lines' adherence to the defined controls, requirements, internal policies and best practices
  • Creating and maintaining meaningful operational risk reporting to meet the needs of senior management and oversight committees
  • Proactively identifying, tracking and analyzing operational risks within Golub Capital, while working to identify and implement critical control improvements
  • Driving comprehensive risk identification and assessment by challenging assumptions, validating risk analyses and ensuring the completeness, accuracy and quality of departmental risk evaluations
  • Representing the team's interests at internal meetings, committees and working groups
  • Fostering and developing relationships with various ORM stakeholders, while promoting a robust risk culture

Candidate Requirements

Qualifications & Experience:

  • Bachelor's degree required
  • 3-5 years of financial services experience in risk management, audit or related areas
  • Certifications (Preferred): Operational Risk Management Certificate, Certified Internal Auditor (CIA), Financial Risk Manager (FRM) Designation
  • Knowledge of financial services industry practices, internal controls and regulatory requirements
  • Understanding and experience with operational loss causes, measures and mitigation strategies
  • Assertive, self-motivated, team oriented, flexible and able to multi-task
  • Excellent analytical and problem-solving skills
  • Exceptional written and verbal communication skills; capable of communicating effectively across all levels of the organization
  • Attention to detail and strong organizational skills including the ability to manage several projects
  • Highly motivated and resourceful in a fast paced, growth environment; ability to work both independently and as a team member
  • Ability to probe sensitive issues while maintaining the highest level of integrity and objectivity
  • Demonstrated ability to effectively leverage AI tools in day-to-day work, with strong critical thinking to assess accuracy, limitations and appropriate use of AI generated outputs
  • Enthusiastic about working in office and creating a Gold Standard hybrid work culture

Critical Competencies for Success

Our Gold Standards define key behaviors and competencies across 4 dimensions: Leadership, Achieving Results, Personal Effectiveness and Thinking Critically. These behaviors and competencies drive our ability to win together.

  • Leadership: Role models in this area consistently focus on the right goals and priorities and continually develop themselves and others. Always team players, they influence and engage with others to contribute to a supportive and inclusive culture where all feel welcome.

  • Achieving Results: Role models in this area are high achievers who develop careful plans and deliver consistently and effectively. They hold themselves and others accountable for delivering high quality results, and they remove barriers to ensure others can contribute and grow.

  • Personal Effectiveness: Role models in this area build strong relationships, treat others with respect and communicate effectively. They are driven to exceed expectations and are adaptable to changing circumstances.

  • Thinking Critically: Role models in this area understand our business, rely on analytical reasoning and seek diverse perspectives to solve problems. They are forward thinking, anticipating issues and addressing them in advance.

The department-specific competencies define the knowledge, skills and abilities that are needed to successfully perform the functional or technical work of this role.

  • Change Management: Communicates the benefits and the impact of refinements to internal processes or technology.

  • Innovative Mindset: Leverages an agile and creative mindset to drive innovative value creation, continuous process improvement and proactive learning through new technology, processes and people.

  • Risk Management: Identifies, forecasts and articulates ways to pursue and manage informed risks in ambiguous, complex or uncertain situations based on sound value propositions and an analysis of potential rewards and costs.

  • Technical Communication and Documentation: Documents and communicates technical processes and procedures in area of specialty to stakeholders. Adapts the level of detail and specificity based on the needs of the intended audience.

  • Industry Knowledge: Demonstrates an understanding of risk management and the Firm's position in the industry, including its complex structure and competitive advantage in the marketplace. Monitors industry trends and changes and recognizes their relevancy and implications.

  • Business Needs Assessment: Identifies business needs across departments within the Firm to understand the challenges, goals and problems that the business needs to solve and identifies appropriate technical solutions.

  • Project / Program Management: Manages projects and / or programs through planning, identifying resources, monitoring and communicating project activities and assessing impacts of project decisions.

Compensation and Benefits

For Illinois Only: It is expected that the base salary range for this position will be $80,000 to $120,000. Actual salaries may vary based on factors such as skills, experiences and qualifications for the role. The total compensation package for this position may also include other elements and discretionary awards in addition to a full range of medical, financial and / or other benefits (including 401(k) eligibility and various paid time off benefits such as vacation, sick time and parental leave) dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an 'at-will position' and the Firm reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance, Firm or individual department / team performance and market factors.

Golub Capital is an Equal Opportunity Employer.

Due to the highly regulated nature of Golub Capital's business and because of the sensitivity of the information that all personnel have access to, Golub Capital performs extensive and thorough pre-hire screens to ensure that its personnel act with expected levels of integrity, professionalism and personal responsibility.

Please review Golub Capital's US Job Applicant privacy notice and, for California residents, the California Applicant privacy notice for information on how your personal data is collected, processed and stored.