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Ai Risk Analyst Jobs in Boston, MA (NOW HIRING)

Whoop

AI Risk & Compliance Analyst

Boston, MA · On-site

The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and ...

Whoop

AI Risk & Compliance Analyst

Boston, MA · On-site

The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and ...

Whoop

AI Risk & Compliance Analyst

Boston, MA · On-site

The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and ...

Whoop

AI Risk & Compliance Analyst

Boston, MA

The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and ...

Victory Capitel

Investment Risk Analyst

Boston, MA · On-site

$75K - $90K/yr

Contribute to the development of AI-assisted risk analytics and reporting tools * Explore and prototype machine learning applications for risk factor modeling and anomaly detection * Stay current on ...

Victory Capital

Investment Risk Analyst

Boston, MA

$75K - $90K/yr

Contribute to the development of AI-assisted risk analytics and reporting tools * Explore and prototype machine learning applications for risk factor modeling and anomaly detection * Stay current on ...

Whoop

Senior GRC Analyst

Boston, MA

$130K - $170K/yr

Lead cyber, AI, and technology risk assessments across systems, cloud environments, business ... cyber risk analysis approaches such as FAIR to improve how risk is measured and communicated ...

Whoop

Senior GRC Analyst

Boston, MA · On-site

$130K - $170K/yr

Lead cyber, AI, and technology risk assessments across systems, cloud environments, business ... analysis approaches such as FAIR to improve how risk is measured and communicated • Prepare ...

Whoop

Senior GRC Analyst

Boston, MA · On-site

$130K - $170K/yr

RESPONSIBILITIES: • Lead cyber, AI, and technology risk assessments across systems, cloud ... analysis approaches such as FAIR to improve how risk is measured and communicated • Prepare ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Boston, MA

Ai Risk Analyst information

See Boston, MA salary details

$16

$44

$71

How much do ai risk analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for ai risk analyst in Boston, MA is $44.12, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $53.70 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 Boston, MA? For Ai Risk Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Boston, MA look for? The top searched job categories for Ai Risk Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Ai Risk Analyst jobs? Cities near Boston, MA with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $91,481 per year, or $44 per hour.
AI Risk & Compliance Analyst

AI Risk & Compliance Analyst

Whoop

Boston, MA • On-site

Full-time

Posted 9 days ago

Job description

At WHOOP, we are on a mission to unlock human performance and extend healthspan. The Governance, Risk, and Compliance (GRC) team helps ensure technology and cybersecurity risks are identified, assessed, and communicated clearly across the organization.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise
risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
  • Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
    LLM integrations, AI agents, and retrieval-augmented workflows
    • Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
    GRC frameworks and translate technical risk into governance requirements
    • Develop, maintain, and refine AI risk and compliance controls aligned with relevant
    frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
    Management Framework, EU AI Act, GDPR, and other applicable standards
    • Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
    tools, including third-party risk scoring, control mapping, and remediation tracking
    • Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
    documented controls, evidence collection, and follow-up on remediation items
    • Support audit activities, capturing evidence and coordinating cross-functional
    stakeholders for internal and external compliance reviews involving AI systems
    • Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
    risk domains, explainability requirements, and compliance obligations
    • Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
    analysis, control effectiveness measurements, and key metrics
    • Monitor emerging AI governance requirements, guidance, and best practices, translating
    them into GRC program updates and compliance recommendations
    • Support security incident documentation and post-incident analysis for AI system events,
    coordinating with Legal and Security teams to ensure appropriate governance response

QUALIFICATIONS:
  • 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
    policy development, audit coordination, and third-party risk management
    • Demonstrated experience performing governance or risk assessments for AI/ML systems,
    including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
    • Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
    misuse, data leakage, explainability gaps) into documented control requirements and
    governance standards
    • Hands-on experience conducting third-party risk assessments for AI vendors, LLM
    platforms, AI APIs, or machine learning service providers
    • Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
    NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
    • Strong understanding of data governance concepts relevant to AI systems, including
    training data lineage, data retention, model output handling, and human oversight
    requirements
    • Experience supporting regulatory readiness or compliance efforts related to AI systems
    • Proven ability to collaborate with engineering and security teams to validate control
    implementation and remediation
    • Bachelor's degree in Information Security, Computer Science, Business Risk, Compliance,
    or a related field,

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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