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Ai Risk Analyst Jobs in Vermont (NOW HIRING)

Operational Risk Manager

Burlington, VT · On-site

$110K - $135K/yr

... AI driven and technology enabled risk initiatives within the region. • Perform monthly operational claims analysis, identifying trends, root causes, and leading risk indicators. • Translate ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Conducting periodic holistic reviews of higher risk individuals or entities. * Reviewing and ...

This is a client-facing analyst role, so most of your time will go to compliance work rather than ... But we're builder friendly: we write automations and use AI to reduce repetitive work, so our time ...

New

... analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can ... New Product Development & Risk assessment; * Electronic lifetime and system reliability prediction ...

... analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can ... New Product Development & Risk assessment; * Electronic lifetime and system reliability prediction ...

As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ... reporting, risk management, and financial tracking - Work with leadership to align project ...

Strategic Buyer - US

South Burlington, VT

$80K - $85K/yr

... risk mitigation strategies, including geographic diversification and tariff impact analysis, to ... Experience driving supply chain efficiencies using artificial intelligence (AI) (Copilot, Claude ...

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Ai Risk Analyst information

See Vermont salary details

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$43

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How much do ai risk analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for ai risk analyst in Vermont is $43.05, according to ZipRecruiter salary data. Most workers in this role earn between $31.68 and $52.40 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

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 familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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 are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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 are AI Risk Analysts?

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 are popular job titles related to Ai Risk Analyst jobs in Vermont? For Ai Risk Analyst jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Vermont look for? The top searched job categories for Ai Risk Analyst jobs in Vermont are:
Infographic showing various Ai Risk Analyst job openings in Vermont as of July 2026, with employment types broken down into 66% Full Time, 25% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $89,536 per year, or $43 per hour.

Operational Risk Manager

Securitas

Burlington, VT • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 7 days ago


Securitas rating

6.0

Company rating: 6.0 out of 10

Based on 990 frontline employees who took The Breakroom Quiz

66th of 113 rated security


Job description

Operational Risk Manager (ORM)

The Operational Risk Manager (ORM) serves as the regional leader for operational risk mitigation, safety, and compliance. This role is responsible for driving a culture of safety and risk awareness across field operations, ensuring contractual and regulatory compliance, analyzing claims and incident trends. This role is part of Division Risk Management and partners closely with the assigned Region to proactively reduce loss exposure and improve operational performance.

This role supports the Northeast Region of Securitas and is a Hybrid position. The candidate is expected to work out of a Securitas Office in NY, NJ, CT, RI, MA, NH, VT, or ME 2 days a week with the other 3 days being Remote. 

You’re eligible for the Management Medical Plan (MMP), which replaces an HSA or FSA and provides up to $2,000 annually in reimbursement for eligible healthcare expenses not covered by your primary plan. In addition, this position is Bonus eligible. 

Key Responsibilities

Operational Risk & Safety Leadership

• Drive a culture of risk mitigation and safety throughout the region by implementing and reinforcing site level risk and safety initiatives.

• Serve as the primary regional point of contact for the Risk Management and Legal departments during claim investigations, providing timely documentation, incident analysis, and operational support.

• Collaborate with cross functional partners (Operations, HR, Training, Legal, and Risk) to implement standardized compliance controls and processes consistently across the region.

• Lead and facilitate regional Risk & Safety workshops.

Ongoing Compliance & Audit Oversight

• Partner with field operations to ensure all required documentation, controls, and approvals are in place prior to the start of higher risk accounts.

• Verify that all employees receive required on the job training.

• Confirm implementation of client specific contractual requirements at each site (e.g., CPR certifications, training mandates).

• Ensure all sites maintain current, accurate, and approved post orders.

• Conduct ongoing compliance audits to validate adherence to contractual, regulatory, and internal policy requirements and track remediation efforts.

Analytics, Technology & Continuous Improvement

• Analyze monthly claim trends and develop proactive action plans to mitigate emerging risks and improve regional performance.

• Communicate risk, claims, and compliance metrics to field leadership to increase awareness and accountability.

• Support and implement AI driven and technology enabled risk initiatives within the region.

• Perform monthly operational claims analysis, identifying trends, root causes, and leading risk indicators.

• Translate analytics into actionable insights and recommendations for loss prevention and operational improvement.


Weapons Program Oversight

• Assume regional ownership of the weapons program, including: 

o Conducting regular firearm audits.

o Maintaining complete and accurate weapons records.

o Promptly reporting discrepancies, changes, or incidents to the Division in accordance with policy.

Compliance & Documentation Management

• Maintain and oversee required documentation within CEP, including: 

o Post Orders (CEP format)

o Periodic Hazard Assessments (PHAs)

o Executed contracts

o Training acknowledgments and completion tracking


 Incident, Potential Claim & Large Loss Review

• Review all potential claims, Continuous Improvement Incidents, and large loss investigations.

• Identify training gaps, procedural deficiencies, and post order improvement opportunities.

• Recommend updates to risk protocols, training, and controls based on findings and lessons learned.


 Training & Regional Support

• Deliver risk related training sessions on a monthly basis, tailored to operational risks and emerging trends.

• Provide direct regional support, including: 

o Promoting risk policy compliance and awareness.

o Assisting with Risk related RFP questionnaires.

o Conducting CEP post order reviews.

o Supporting operational and compliance audits.


 Qualifications & Experience

• Bachelor’s degree preferred or equivalent relevant experience in risk management, safety, operations, or a related field.

• Demonstrated experience in operational risk management, compliance, safety, or claims related functions.

• Strong knowledge of regulatory, contractual, and operational risk controls.

• Experience analyzing claims data and translating findings into actionable risk mitigation strategies.

• Ability to partner effectively with field operations and senior leadership.

• Strong written and verbal communication skills with experience delivering training and executive summaries.

• High attention to detail with the ability to manage multiple priorities across a geographically dispersed region.

Key Competencies

• Operational risk assessment and mitigation

• Claims and incident analysis

• Compliance auditing and governance

• Cross functional collaboration

• Data driven decision making

• Training and stakeholder engagement

Securitas is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, pregnancy, genetic information, disability, status as a protected veteran, or any other applicable legally protected characteristic.

Securitas employees come from all walks of life, bringing with them a variety of distinctive skills and perspectives. United through our common purpose, we provide the security needed to safeguard our clients' assets and people. Our core values - Integrity, Vigilance and Helpfulness - are represented by the three red dots in the Securitas logo. If you live by these values, we’re looking for you to join the Securitas team.

Benefits include: 
  • Retirement plan
  • Employer-provided medical and dental coverage
  • Company-paid life insurance
  • Voluntary life and disability insurance
  • Employee assistance plan
  • Securitas Saves discount program
  • Paid holidays
  • Paid time away from work

Additionally, some populations may have the availability of accessing earned wages on a daily basis, prior to payday. Restrictions and fees may apply.
Certain waiting periods may also apply. Paid time away from work may be available either through a combination of vacation and sick time or under a PTO policy, depending on local requirements. Benefits may be different for union members.

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