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Ai Risk Jobs in Matthews, NC (NOW HIRING)

Enterprise Architect (IT)

Charlotte, NC · On-site +1

$102K - $208K/yr

Help build AI governance practices for responsible AI adoption, AI governance, and AI Risk controls including intake criteria, risk tiering, review guardrails, control alignment, and ongoing ...

Enterprise Architect (IT)

Charlotte, NC · On-site +1

$67.50 - $87/hr

Help build AI governance practices for responsible AI adoption, AI governance, and AI Risk controlsincluding intake criteria, risk tiering, review guardrails, control alignment, and ongoing oversight.

AVP, Software Engineering Lead

Charlotte, NC · On-site +1

$247K/yr

Governance, Risk & Controls * Partner with Data & AI, Risk, Legal, Compliance, Cybersecurity, and Architecture teams to ensure AI engineering solutions meet enterprise governance and regulatory ...

Sr IT Auditor

Charlotte, NC · On-site

$91K - $126K/yr

Conducts complex testing in high-risk IT and AI environments, maintaining high workpaper quality and ensuring documentation meets professional standards with clear audit trails. * Conducts audit ...

Showing results 21-40

Ai Risk information

See Matthews, NC salary details

$13

$28

$69

How much do ai risk jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai risk in Matthews, NC is $28.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $36.39 per hour, depending on experience, location, and employer.

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Ai Risk jobs in Matthews, NC look for? The top searched job categories for Ai Risk jobs in Matthews, NC are:
What cities near Matthews, NC are hiring for Ai Risk jobs? Cities near Matthews, NC with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in Matthews, NC as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $59,299 per year, or $28.5 per hour.

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

Deloitte

Charlotte, NC

Full-time

Re-posted yesterday


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th 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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