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Ai Risk Analyst Jobs in New York (NOW HIRING)

... AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff ... Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable ...

... AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff ... Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable ...

... AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff ... Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable ...

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Ai Risk Analyst information

See New York salary details

$16

$44

$72

How much do ai risk analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai risk analyst in New York is $44.29, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $53.89 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 in New York are hiring for Ai Risk Analyst jobs? Cities in New York with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in New York as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $92,128 per year, or $44.3 per hour.

Information Security Architect - AI

Wolters Kluwer

New York, NY • On-site

$107K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

Information Security Architect - AI Risk Management

Job Overview

We are seeking an Information Security Architect specializing in AI risk management to accelerate the secure adoption of Generative AI across the enterprise. This role acts as a strategic partner to business and IT leaders, streamlining reviews, shaping security controls, and ensuring AI deployments align with industry standards, regulatory expectations, and enterprise risk appetite. The successful candidate will combine deep security expertise with a forward-looking grasp of AI governance, enabling the organization to innovate confidently and securely.

Primary Responsibilities

  • Review and assess Generative AI implementations to identify risks and ensure compliance with enterprise policies, industry standards, and regulatory frameworks.
  • Design and implement security controls aligned with both IT systems and business objectives, with emphasis on AI-specific risks.
  • Develop and apply AI risk models aligned with NIST AI RMF, ISO/IEC 42001, and other emerging frameworks.
  • Integrate AI risk considerations into enterprise governance processes; lead or support reviews of AI and emerging technology deployments.
  • Apply threat modeling techniques such as the OWASP Top 10 for LLMs to identify, prioritize, and mitigate AI-specific risks.
  • Collaborate with cross-functional teams (engineering, data science, compliance, product) to embed security into AI solution design and deployment.
  • Continuously monitor emerging trends in AI governance, security standards, and enterprise risk management best practices.

Required Qualifications

  • Strong understanding of AI risk management, with working knowledge of NIST AI RMF and ISO/IEC 42001.
  • Experience in information security with proven ability to assess and implement controls for IT and cloud environments.
  • Familiarity with AI threat models (e.g., OWASP LLM Top 10) and risk mitigation strategies.
  • Strong grasp of cybersecurity fundamentals, IT risk, and enterprise governance.
  • Excellent communication skills, with ability to translate technical risks into business-aligned narratives.
  • Certifications: CISSP, CISA, CISM, or relevant AI governance certifications (e.g., ISACA AI Governance).

Preferred Qualifications

  • Hands-on experience with leading AI platforms, including:
    • Azure OpenAI Services - secure deployment and governance practices.
    • AWS Bedrock - evaluation and integration of models such as Anthropic Claude.
    • Google Cloud Vertex AI - secure implementations within enterprise contexts.
    • Microsoft Copilot - integration patterns and associated risks.
  • Experience with cloud security best practices and enterprise risk management.
  • Background in designing or operationalizing AI governance programs at scale.

Soft Skills

  • Ability to influence and engage stakeholders across technical and business teams.
  • Strong problem-solving, critical thinking, and analytical skills.
  • Collaborative, proactive, and adaptable mindset.

Justification for the Role

The rapid increase in AI implementations within the organization has created a bottleneck in the risk assessment process. This dedicated role will streamline evaluations, accelerate secure adoption, and strengthen enterprise resilience by embedding AI risk management into both governance and technical design.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$107,500.00 - $188,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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