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

Senior SOC Analyst - Weekends

Lowell, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

Insider Risk Investigator

Boston, MA · On-site

$245K - $305K/yr

  • PTO

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

... AI-driven detection systems that automate over 90% of fraud interception and free the team from manual review cycles. This is a builder role for a Risk Leader with hacker instincts and raw analytical ...

Showing results 41-60

Ai Risk Analyst information

See Boston, MA salary details

$16

$43

$71

How much do ai risk analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai risk analyst in Boston, MA is $43.85, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $53.37 per hour, depending on experience, location, and employer.

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.

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.

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

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

Infographic showing various Ai Risk Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $91,203 per year, or $43.8 per hour.

Manager - AI Assisted Process, Risks & Controls Transformation - Investment Management

Deloitte

Boston, MA

Full-time

Re-posted 7 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Manager - AI Assisted Process, Risks and Controls Transformation - Investment Management - Enterprise Operations & Risk

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Manager, you will have opportunities to:

  • Learn how to identify, evaluate, and prioritize business, operational, regulatory, and technology risks across investment management processes, and apply AI-enabled techniques to improve detection, monitoring, and mitigation of those risks
  • Support clients in designing and implementing AI-enabled governance across the process, risk and control lifecycle including regulatory and compliance impact assessment, process modeling and risk and control mapping, risk identification, control review, testing and enhancement, and issue management and reporting
  • Assist with continuous controls monitoring by leveraging AI to perform simultaneous, continuous anomaly detection across transactions, reconciliations, valuations, and other high-volume operational activities to surface discrepancies earlier.
  • Help deploy AI to enhance process and control effectiveness across the middle/back office processes, including monitoring data flows between systems and data platforms and alerting teams to integration/control issues.
  • Support the development and operationalization of model risk management (MRM) practices for AI and traditional models across the model lifecycle (development, testing/validation, deployment, monitoring), including clearer roles, accountability, and control environment expectations.

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The Team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation.

Qualifications

Required:

  • Bachelor's degree.
  • 6+ years of experience in financial services or consulting with exposure to investment management operations, compliance, risk, internal audit, and/or technology/data functions.
  • Demonstrated knowledge of investment management processes (trade lifecycle, reconciliations, collateral/margin, pricing/valuation support, fund/investment accounting, performance/reporting) and where operational risks and controls typically sit.
  • Experience applying AI/advanced analytics to process, risk, and control management, including one or more of:
    • Continuous anomaly detection and exception triage for transactions and operational processes
    • Risk assessment enhancement using broader data inputs and more real-time updates (where applicable)
    • Generative AI (GenAI) use cases with appropriate controls (e.g., drafting control narratives/test scripts, summarizing policies/procedures, generating action reports and recommendations), paired with human review and audit trails
    • Techniques to reduce control burden while maintaining governance in a highly regulated environment
  • Experience or familiarity with MRM and AI governance concepts, including documentation, validation, monitoring, and oversight needed to maintain transparency, fairness, and accountability for AI systems in investment management.
  • Understanding of AI risk considerations (e.g., bias/fairness, reliability, hallucinations, privacy/security, and attribution/copyright risk) and how to mitigate them via governance and controls.
  • Strong project/program management skills and ability to manage multiple priorities and deadlines with high-quality delivery.
  • Strong oral and written communication skills, including supporting proposals and executive-ready presentations.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 75%, on average, based on the work you do and the clients and industries/sectors you serve.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144600 to $265100.

Qualifications:

Manager - AI Assisted Process, Risks and Controls Transformation - Investment Management - Enterprise Operations & Risk

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Manager, you will have opportunities to:

  • Learn how to identify, evaluate, and prioritize business, operational, regulatory, and technology risks across investment management processes, and apply AI-enabled techniques to improve detection, monitoring, and mitigation of those risks
  • Support clients in designing and implementing AI-enabled governance across the process, risk and control lifecycle including regulatory and compliance impact assessment, process modeling and risk and control mapping, risk identification, control review, testing and enhancement, and issue management and reporting
  • Assist with continuous controls monitoring by leveraging AI to perform simultaneous, continuous anomaly detection across transactions, reconciliations, valuations, and other high-volume operational activities to surface discrepancies earlier.
  • Help deploy AI to enhance process and control effectiveness across the middle/back office processes, including monitoring data flows between systems and data platforms and alerting teams to integration/control issues.
  • Support the development and operationalization of model risk management (MRM) practices for AI and traditional models across the model lifecycle (development, testing/validation, deployment, monitoring), including clearer roles, accountability, and control environment expectations.

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The Team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation.

Qualifications

Required:

  • Bachelor's degree.
  • 6+ years of experience in financial services or consulting with exposure to investment management operations, compliance, risk, internal audit, and/or technology/data functions.
  • Demonstrated knowledge of investment management processes (trade lifecycle, reconciliations, collateral/margin, pricing/valuation support, fund/investment accounting, performance/reporting) and where operational risks and controls typically sit.
  • Experience applying AI/advanced analytics to process, risk, and control management, including one or more of:
    • Continuous anomaly detection and exception triage for transactions and operational processes
    • Risk assessment enhancement using broader data inputs and more real-time updates (where applicable)
    • Generative AI (GenAI) use cases with appropriate controls (e.g., drafting control narratives/test scripts, summarizing policies/procedures, generating action reports and recommendations), paired with human review and audit trails
    • Techniques to reduce control burden while maintaining governance in a highly regulated environment
  • Experience or familiarity with MRM and AI governance concepts, including documentation, validation, monitoring, and oversight needed to maintain transparency, fairness, and accountability for AI systems in investment management.
  • Understanding of AI risk considerations (e.g., bias/fairness, reliability, hallucinations, privacy/security, and attribution/copyright risk) and how to mitigate them via governance and controls.
  • Strong project/program management skills and ability to manage multiple priorities and deadlines with high-quality delivery.
  • Strong oral and written communication skills, including supporting proposals and executive-ready presentations.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 75%, on average, based on the work you do and the clients and industries/sectors you serve.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144600 to $265100.

Education:Bachelor's DegreeEmployment Type:

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