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

Anthropic

Insider Risk Investigator

Boston, MA · On-site

$245K - $305K/yr

The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks ... Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis

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

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:

Ai Risk Analyst jobs near you
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.

AI and Automation Lead for Cyber Application Compliance - VP

State Street Global Advisors

Quincy, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Who we are looking for

An experienced Artificial Intelligence Compliance & Automation Lead who will play a critical role in modernizing and scaling the firm's Cyber Application Compliance Program through the strategic use of artificial intelligence, machine learning, automation, and advanced analytics. This individual will lead the development and integration of AI-enabled solutions that improve compliance monitoring, risk identification, evidence collection, reporting, workflow efficiency, and regulatory alignment across the enterprise application portfolio.

The ideal candidate will possess a combination of technical expertise, software development experience, cybersecurity and compliance knowledge, and the ability to translate complex business requirements into scalable AI-driven solutions. Experience within highly regulated industries, particularly financial services, is strongly preferred.

Other key relationships:

  • Cyber Application Compliance Teams
  • Information Security Risk Management (ISRM)
  • Cybersecurity Governance, Risk & Compliance (GRC)
  • Enterprise Architecture
  • Cloud Engineering & DevOps Teams
  • Application Owners and Technology Leaders
  • Data & Analytics Teams
  • ServiceNow IRM Platform Teams
  • Compliance, Risk Management, Legal, and Internal Audit
  • Technology and Business Executives

What you will be responsible for

  • Lead the adoption and integration of artificial intelligence capabilities across the Cyber Application Compliance Program.
  • Design, develop, and implement AI-driven automation solutions to improve compliance operations, risk assessment activities, and regulatory reporting.
  • Identify opportunities to reduce manual effort through intelligent workflows, machine learning models, predictive analytics, and process automation.
  • Partner with cybersecurity, compliance, risk, technology, and business stakeholders to integrate AI capabilities into existing governance processes.
  • Develop AI-assisted compliance monitoring capabilities to identify control deficiencies, policy exceptions, and emerging risks.
  • Design and maintain complex integrations between governance platforms, compliance systems, security tooling, data repositories, and reporting solutions.
  • Build scalable data pipelines and automation frameworks that improve the quality, accuracy, and timeliness of compliance evidence collection.
  • Utilize advanced analytics and AI techniques to improve cyber risk visibility and support executive decision-making.
  • Enhance the organization's ability to manage compliance against cybersecurity frameworks, including NIST, regulatory requirements, and internal standards.
  • Develop AI-enabled dashboards, metrics, key risk indicators (KRIs), and predictive reporting capabilities.
  • Support implementation of intelligent workflows within platforms such as ServiceNow, Archer, cloud environments, and other enterprise technologies.
  • Evaluate emerging AI technologies and develop practical use cases that improve operational effectiveness and control maturity.
  • Collaborate with technical teams to establish responsible AI governance practices, security standards, and model oversight processes.
  • Ensure AI-enabled solutions align with the firm's cybersecurity, privacy, legal, and risk management requirements.
  • Analyze large and complex datasets to identify opportunities for process improvement, risk reduction, and compliance optimization.
  • Translate business objectives into technical specifications and solution designs.
  • Communicate complex AI concepts, technical architectures, and compliance implications to both technical and non-technical audiences.
  • Create and deliver executive presentations, implementation roadmaps, and business cases supporting AI investments.
  • Partner with technology and compliance teams to establish automation strategies that support regulatory examinations, audits, and internal reviews.
  • Stay current on developments in artificial intelligence, cybersecurity, automation technologies, regulatory expectations, and industry best practices.
  • Mentor and guide team members in AI adoption, automation opportunities, and advanced analytics capabilities.

What we value

These skills will help you succeed in this role:

  • Deep understanding of artificial intelligence, machine learning, generative AI, large language models (LLMs), and intelligent automation technologies.
  • Strong software development and coding experience with modern programming languages such as Python, Java, C#, JavaScript, or similar.
  • Experience designing, developing, and deploying enterprise-grade AI solutions.
  • Ability to understand and optimize complex end-to-end business and technology processes.
  • Strong analytical and strategic thinking capabilities.
  • Experience integrating data from multiple enterprise systems and platforms.
  • Knowledge of cybersecurity governance, risk management, compliance, and control frameworks.
  • Familiarity with NIST Cybersecurity Framework (CSF), NIST SP 800-53, NIST AI Risk Management Framework (AI RMF), and related industry standards.
  • Experience developing automation solutions utilizing APIs, workflow engines, orchestration tools, and cloud-native technologies.
  • Strong understanding of data governance, model governance, and responsible AI principles.
  • Ability to communicate technical concepts to executive leadership and business stakeholders.
  • Experience designing dashboards, KPIs, KRIs, and operational reporting.
  • Strong project and program management skills with the ability to lead cross-functional initiatives.
  • Ability to influence stakeholders across multiple levels of the organization.
  • Experience working within highly regulated environments.
  • Self-starter with a passion for innovation, continuous learning, and process improvement.
  • Strong presentation, documentation, and executive communication skills.
  • Proven ability to manage competing priorities in a fast-paced and evolving environment.
  • Experience identifying opportunities to leverage AI to improve operational efficiency, risk management, and compliance outcomes.

Education & Preferred Qualifications

  • 7+ years of experience in artificial intelligence, machine learning, advanced analytics, automation, software engineering, or related technical disciplines.
  • 5+ years of experience supporting cybersecurity, compliance, risk management, governance, or regulated technology environments.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Cybersecurity, Information Technology, or related field required.
  • Master's degree in Artificial Intelligence, Data Science, Computer Science, Cybersecurity, or related field preferred.
  • Experience developing enterprise AI solutions and production-grade automation capabilities.
  • Strong coding proficiency and demonstrated experience building complex integrated technology solutions.
  • Experience with cloud platforms including Azure, AWS, or Google Cloud.
  • Familiarity with enterprise governance and compliance platforms such as ServiceNow IRM, Archer, or similar solutions preferred.
  • Financial services, banking, or other highly regulated industry experience strongly preferred.

Preferred Certifications

  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure AI Fundamentals
  • AWS Certified Machine Learning - Specialty
  • Google Professional Machine Learning Engineer
  • Certified Information Systems Security Professional (CISSP)
  • Certified Information Security Manager (CISM)
  • Certified in Risk and Information Systems Control (CRISC)
  • Certified Information Systems Auditor (CISA)
  • NIST Cybersecurity Framework or NIST Risk Management Framework-related training
  • Project Management Professional (PMP) or Agile certifications preferred

Additional requirements

Travel up to 10% may be required.

Salary Range:

$120,000 - $202,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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