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Ai Risk Analyst Jobs in New Jersey (NOW HIRING)

IDT

Senior Risk Analyst

Newark, NJ · Hybrid

$150K/yr

The Senior Risk Analyst role is critical in protecting the business from fraud and financial loss ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

IDT

Senior Risk Analyst

Newark, NJ · On-site

$150K/yr

The Senior Risk Analyst role is critical in protecting the business from fraud and financial loss ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Fox Rothschild

Risk Mitigation Analyst

Princeton, NJ · On-site

The Analyst reports to the Risk Mitigation Research Manager and works collaboratively with ... Experience using AI-assisted research tools or analytics platforms preferred. Knowledge, Skills ...

Fox Rothschild

Risk Mitigation Analyst

Morristown, NJ · On-site

The Analyst reports to the Risk Mitigation Research Manager and works collaboratively with ... Experience using AI-assisted research tools or analytics platforms preferred. Knowledge, Skills ...

TIAA

Senior Business Risk & Control Analyst

Iselin, NJ · On-site

$73K - $100K/yr

Sr. Business Risk & Control Analyst We're seeking a Senior Business Risk & IT Controls Analyst to ... We equip our associates with future-focused skills and AI tools that enable us to advance our ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in New Jersey

Ai Risk Analyst information

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$41

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How much do ai risk analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai risk analyst in New Jersey is $41.10, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $50.05 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.

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Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in New Jersey as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $85,493 per year, or $41.1 per hour.

Senior Risk Analyst

IDT

Newark, NJ • Hybrid

$150K/yr

Full-time

Re-posted 10 days ago

Job description

About Us

National Retail Solutions (NRS) builds technology that helps small businesses thrive. We provide point-of-sale systems, payments, e-commerce, loyalty, and other tools that empower independent retailers nationwide. NRS PAY is a leader in merchant services, offering cutting-edge payment solutions that empower businesses to grow securely and efficiently. As we expand, we are seeking a detail-oriented and proactive Senior Risk Analyst to join our growing Risk team and to help identify, investigate, and mitigate transaction-related risks. 

Role Overview:

The Senior Risk Analyst role is critical in protecting the business from fraud and financial loss by proactively monitoring transaction trends, flagging suspicious behavior, and contributing to the ongoing development of our risk strategies and tools.

Key Responsibilities:

Monitor merchant and transaction activity in real-time and over time to detect patterns, anomalies, and potential fraud.

Analyze large sets of data to identify risk trends, including chargebacks, returns, and unusual volume spikes.

Create and refine rules, alerts, and reports in risk monitoring tools to flag suspicious behaviors.

Investigate alerts, escalations, and potential fraud cases, documenting findings and making recommendations for next steps.

Collaborate with underwriting, compliance, and operations teams to ensure alignment in risk controls and merchant reviews.

Provide data-driven insights to support decision-making and improve risk strategies.

Help improve internal tools and processes for risk detection and mitigation.

 
 
Requirements:

Minimum 2 years of experience in risk analysis or fraud detection, ideally within the merchant services or payments industry.

Strong analytical skills with experience analyzing transactional data and identifying risk trends.

Deep understanding of payment ecosystems, fraud typologies, chargebacks, and risk scoring systems.

Excellent critical thinking, problem-solving, and communication skills.

Ability to thrive in a fast-paced, high-volume environment.

Preferred Qualifications:

Experience working with fraud detection platforms (e.g., Kount, Sift, or similar).

Familiarity with Visa, Mastercard, and NACHA compliance requirements.

Experience with machine learning models or analytics platforms is a plus.

Comfortable operating in a fast-paced, iterative environment with high ownership and accountability.

Ability to work hybrid from our Newark office three days per week.

$150,000 - $150,000 a year

A few words about us:

IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 2300 team members across 20 countries, and have over $1.5 billion in revenues. 

We are not "another big IT corporation"- we encourage and support in-house entrepreneurs in developing their ideas into business actions.

Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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