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Ai Risk Analyst Jobs in Illinois (NOW HIRING)

... risk models, forecasting key balance sheet items and providing deep dive analysis into financial ... Hands‑on experience with AI/ML tooling and business intelligence platforms such as Superset or ...

... cause analyses, oversee remediation activities, and ensure timely resolution of identified risks * Lead enterprise privacy compliance activities, including privacy impact assessments, AI risk ...

... 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 · On-site

$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 ...

Showing results 21-40

Ai Risk Analyst information

See Illinois salary details

$14

$39

$63

How much do ai risk analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai risk analyst in Illinois is $39.23, according to ZipRecruiter salary data. Most workers in this role earn between $28.89 and $47.74 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 Illinois?

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

What job categories do people searching Ai Risk Analyst jobs in Illinois look for?

The top searched job categories for Ai Risk Analyst jobs in Illinois are:

What cities in Illinois are hiring for Ai Risk Analyst jobs?

Cities in Illinois with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Illinois as of August 2026, with employment types broken down into 61% Full Time, 36% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $81,601 per year, or $39.2 per hour.

Senior Financial Risk Analyst

3M HEALTHCARE

Chicago, IL • On-site

$111 - $130/hr

Other

Medical, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team & role

We are looking for an intellectually curious and enthusiastic individual to help the organization prepare for continued rapid growth by having a good understanding of the impact of the financial markets and risks on Robinhood. This role is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items and providing deep dive analysis into financial market drivers of the business.

This role suits those with a bias towards action and impact, who believe in end to end execution and accountability. You are the perfect mix of analytical, technical, operational, and creative. You are a clear, confident communicator who loves taking a complicated problem, decomposing it, and building data driven models, then turning those models into processes and reports.

What you’ll do
  • Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
  • Conduct deep‑drop quantitative analyses into liquidity risks emerging across the Robinhood ecosystem
  • Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management
  • Partner with Data Science and Engineering teams to design and deliver dashboards, automated alerts, and data pipelines that surface capital, liquidity, and counterparty credit risks for the Treasury function
  • Collaborate with Finance and Product teams to assess emerging risks associated with new products and business initiatives
What you bring
  • Bachelor's degree in mathematics, computer science, engineering or a related field.
  • 1–3 years of experience in data analytics, risk management, or a comparable analytical role
  • Strong quantitative and problem‑solving skills, with the ability to communicate complex findings clearly to non‑technical stakeholder
  • Solid grounding in financial risk methodologies including Value‑at‑Risk, stress testing, scenario analysis, and attribution modeling
  • Understanding of macroeconomics, financial markets, financial instruments, trading strategies, and investment theory
  • Advanced proficiency in SQL and Python
  • Ability to build and own process from the ground up
  • Demonstrated ability to design and own end‑to‑end processes in ambiguous, fast‑moving environments
  • Advanced graduate degree such as an MFE or in a similar technical field preferred.
  • Experience developing and deploying production‑grade financial models in Python or R
  • Familiarity with sophisticated financial instruments including derivatives, futures, leveraged products, and digital assets
  • Experience with time series modeling and regression techniques
  • Hands‑on experience with AI/ML tooling and business intelligence platforms such as Superset or Looker
  • Working knowledge of ETL pipelines and workflow orchestration tools such as Airflow
What we offer
  • Challenging, high‑impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer‑paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and benefits.

Base pay for the successful applicant will depend on a variety of job‑related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$111,000 - $130,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$97,000 - $114,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$86,000 - $101,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Equal Employment Opportunity Information

At Robinhood, we care deeply about diverse representation in our workforce as it supports our mission to democratize finance for all. In support of this goal, we encourage applicants to voluntarily identify demographic information. This information helps us to continue building a more inclusive workplace and to ensure effective recruiting programs that are inclusive of individuals across all backgrounds.

Self‑identifying in this section is completely voluntary and if you choose not to provide any information, please select the “I don't wish to answer” option under that question. Whatever your decision, data that you provide in this section will not be considered in the hiring process or thereafter. Individuals seeking employment at Robinhood are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, marital status, ancestry, physical or mental disability, neurodivergence, veteran status, gender identity or expression, or any other characteristic protected by law.

You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity recordkeeping, reporting, and other legal requirements, and to be used in our efforts to recruit a diverse workforce. Any information that you do provide will be recorded and maintained in a confidential manner. For more information on EEOC definitions, please reference this document .

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