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

... analytics * Experience translating regulatory or risk requirements into user stories or product ... Senior Consultant - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk ...

Senior Consultant - AI Governance - Enterprise Operations & Risk Our Deloitte Regulatory, Risk ... analytics * Experience translating regulatory or risk requirements into user stories or product ...

Product Marketing Manager

Boston, MA ยท On-site +1

$167K/yr

You'll build competitive programs that arm the field, shape how analysts and buyers understand emerging AI risk categories, and partner with Product and Engineering to ensure the market perspective ...

Information Security Analyst

Boston, MA ยท On-site

$125K - $175K/yr

Information Security Analyst Department: 511240 Information Tech (CIO) Location: Boston Company ... Familiarity with AI security, AI governance, or emerging AI risk management frameworks such as NIST ...

Showing results 21-40

Ai Risk Analyst information

See Stoneham, MA salary details

$16

$44

$72

How much do ai risk analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai risk analyst in Stoneham, MA is $44.30, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $53.94 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.

What cities near Stoneham, MA are hiring for Ai Risk Analyst jobs?

Cities near Stoneham, MA with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Stoneham, MA as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $92,153 per year, or $44.3 per hour.

Technology Risk and Governance

Arrowstreet Capital

Boston, MA โ€ข On-site

$110K - $315K/yr

Full-time

Re-posted 24 days ago


Job description

Job Overview

The position reports to the Chief Information Security Officer and leads the enterprise-wide technology risk and governance program. This role establishes the risk framework, policies, and governance needed to identify, assess, and mitigate risk across IT services, platforms, and third parties.

Partnering with senior leadership across Technology, Cyber Security, Compliance, Legal, and business, the role translates complex technical and control issues into clear business risk narratives (operational, regulatory, reputational, and financial) and drives risk-based prioritization of remediation.

The position owns the technology risk policy suite and associated standards and oversees the technological aspects of the third-party risk program, including vendor onboarding due diligence and ongoing monitoring in partnership with Compliance and procurement stakeholders.

This role is a key contributor to enterprise risk management, partnering with the Chief Compliance Officer and risk owners to ensure technology risks are identified, documented, reported, and addressed through effective controls, risk acceptance, and continuous improvement. It also evaluates and implements tools and reporting to increase risk visibility and strengthen governance.


Responsibilities

  • Own the enterprise technology risk framework and governance model, aligned to the organization's enterprise risk framework.

  • Provide advisory support for material technology decisions (new systems, products, vendors, and significant changes), translating technical and control issues into business impact.

  • Establish clear governance and reporting for senior management and committees on material IT, cyber, third-party, and emerging technology risks, including key risk indicators and metrics.

  • Design and continuously improve technology risk assessment and control evaluation processes, including remediation tracking and governance for risk acceptance, waivers, and exceptions.

  • Lead and mature AI risk governance in partnership with IT, Security, Compliance, and the business.

  • Support enterprise data governance initiatives (classification, retention, and handling) in collaboration with Technology and business stakeholders.

  • Own the technology risk policy suite and standards, ensuring they are implemented, reviewed regularly, and supported through training and awareness.

  • Oversee technology aspects of third-party risk, including onboarding due diligence, review of assurance (e.g., SOC reports), remediation tracking, and ongoing monitoring in partnership with Compliance and procurement stakeholders.

  • Partner with Cyber Security to ensure threat, vulnerability, patch, and incident risk governance aligns to the current threat landscape and control expectations.

  • Drive operational resilience for technology services, including business continuity planning, crisis/incident governance, root-cause analysis, and lessons learned.

  • Support client, regulator, and internal audit engagements related to technology risk, including responses to inquiries and evidence of control design and effectiveness.

Qualifications

  • Experience leading technology risk, IT risk, cyber/operational risk, or technology governance in a regulated environment.

  • Demonstrated ability to design and implement risk frameworks and governance processes, including assessment, prioritization, remediation tracking, and risk acceptance.

  • Broad technical knowledge across enterprise IT (infrastructure, applications, identity and access management, cloud/SaaS, and data governance) and how controls mitigate risk.

  • Strong stakeholder management skills with a track record of influencing senior leaders and driving outcomes across Technology, Compliance, Legal, and Internal Audit.

  • Excellent written, verbal, and presentation skills; able to communicate complex technical risk issues clearly to executives and governance committees.

  • Experience in developing and defining enterprise risk level appetite, tolerance thresholds, and escalation criteria.

  • Ability to challenge control owners constructively and drive accountability and remediation.

Preferred

  • Familiarity with industry regulations and standards (SOX, PCI, DORA) and technical frameworks (e.g., NIST, ISO 27001) and attack frameworks (e.g., MITRE ATT&CK or similar).

  • Experience interacting directly with regulators, auditors, and board risk committees.

  • Understanding of secure software development and application security risks

The base salary range for this position is $110,000 - $315,000 per year.

Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture.Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.

Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.