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

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Chicago, IL · On-site

$120K/yr

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for ... Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks * Advanced degree in ...

The Mutual Group

Vendor Analyst, AI & Technology Risk

Chicago, IL · Hybrid

$85K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Information Technology Execute day-to-day operations of AI and Technology Risk Governance, with primary responsibility for vendor AI governance and detection across The Mutual Group and its member ...

Addison Group

Risk & Compliance Associate

Chicago, IL · On-site

$50 - $60/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Support the evaluation and implementation of AI-enabled tools and compliance technologies to ... Strong analytical, organizational, and problem-solving skills. * Advanced proficiency with ...

Bank of Montreal

Head, Responsible AI & Governance

Chicago, IL · On-site

$150K - $261K/yr

  • Medical

  • Life

  • Retirement

Data Analytics & Reporting Reporting at the enterprise level, this role leads the development and ... Establishes requirements for managing risk, transparency, and accountability. * Tracks and reports ...

BMO Capital Markets

Head, Responsible AI & Governance

Chicago, IL · On-site

$150K - $261K/yr

  • Medical

  • Life

  • Retirement

Data Analytics & Reporting Reporting at the enterprise level, this role leads the development and ... Establishes requirements for managing risk, transparency, and accountability. * Tracks and reports ...

Scigon Solutions

GRC Specialist II

Chicago, IL · On-site

$116K - $144K/yr

AI Risk: Experience in Artificial Intelligence (AI) governance, security, and risk management is ... Analytical & Organizational Strength: Strong problem-solving, project management, and time ...

INEOS Styrolution

Senior Credit Analyst

Naperville, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Credit Risk Analyst to play a central role in managing customer credit risk ... and AI-supported workflows. * This role is ideal for someone who combines strong analytical ...

World Wide Technology

Senior SOC Analyst - Weekends

Joliet, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

World Wide Technology

Senior SOC Analyst - Weekends

Aurora, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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Showing results 21-40

All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Romeoville, IL

Ai Risk Analyst information

See Romeoville, IL salary details

$15

$41

$67

How much do ai risk analyst jobs pay per hour?

As of Aug 15, 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.

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.

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.

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 cities near Romeoville, IL are hiring for Ai Risk Analyst jobs?

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

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Romeoville, IL as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $85,861 per year, or $41.3 per hour.

AI/ML Tech Partner (USA)

Tiger Analytics Inc.

Chicago, IL • On-site

$120K/yr

Full-time

Re-posted 21 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are seeking a highly experienced AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. This role blends deep technical expertise with strategic business leadership to drive innovation, build scalable AI ecosystems, and deliver measurable business value across client engagements.

Responsibilities

  • Act as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goals
  • Lead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvement
  • Architect and implement scalable data platforms (lakehouse, data mesh) and AI ecosystems leveraging cloud technologies (AWS, GCP, Azure)
  • Drive advanced analytics, machine learning, and GenAI use cases, including NLP, forecasting, optimization, and recommendation systems
  • Establish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle management
  • Translate complex business requirements into technical specifications, including data models, STTM, and transformation logic
  • Lead large, cross-functional teams across data engineering, data science, and analytics
  • Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory compliance
  • Identify new business opportunities, contribute to pre-sales, solutioning, and thought leadership
  • Mentor senior talent and build high-performing AI and data teams

Requirements

  • 18+ years of experience in AI, data science, analytics, or data engineering, with significant consulting/services background
  • Proven track record of leading large-scale AI and data transformation programs for enterprise clients
  • Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong programming skills in Python and SQL, with experience in distributed data processing (Spark)
  • Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)
  • Expertise in cloud-native architectures and services across AWS, GCP, or Azure
  • Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production-grade deployments
  • Strong understanding of data modeling, ETL/ELT pipelines, and data governance frameworks
  • Experience with Generative AI (LLMs, prompt engineering, RAG architectures, vector databases)
  • Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma & Life Science, SaaS, Manufacturing, Telecom, etc.
  • Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks
  • Advanced degree in Computer Science, Data Science, Statistics, or related field

Key Competencies

  • Strategic leadership and executive communication
  • Deep technical problem-solving and architecture design
  • Client relationship management and business development
  • Ability to bridge business and technical teams effectively
  • Innovation mindset with a focus on scalable, reusable solutions

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Disclaimer

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.