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Ai Risk Manager Jobs in North Carolina (NOW HIRING)

Pwc

R&I Cybersecurity & AI Risk Senior Manager

Raleigh, NC · On-site

$91K - $321.50K/yr

As a Senior Manager you will support the firm's AI Governance Program development and manage risk while enabling major firm-wide AI transformation initiatives. This position allows for significant ...

Deloitte

Financial Risk Manager

Raleigh, NC

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

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What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in North Carolina? For Ai Risk Manager jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in North Carolina look for? The top searched job categories for Ai Risk Manager jobs in North Carolina are:
What cities in North Carolina are hiring for Ai Risk Manager jobs? Cities in North Carolina with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you

Director AI Risk

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • Hybrid

Other

Posted 15 days ago

Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

Role Description

The Director, AI Risk Oversight, supports AI Risk Management for the SMBC Group Americas Division (AD) in accordance with applicable regulations, home office policies, and industry best practices.
The Risk Management Department (RMDAD) serves as the second line of defense, responsible for monitoring and assessing business practices against the firm's risk appetite framework. Within RMDAD, the Tech, Data, and Cyber Risk Oversight (TDCRO) team maintains oversight responsibility for AI governance and AI risk management.

The AI Risk Director is responsible for providing independent second line review and challenge of the design and execution of the firm's AI governance approach including alignment of controls to AI risks and for development and operation of the second line AI risk management program, including the AI Risk Management Framework, ongoing life cycle monitoring, risk foundation such as policies, taxonomy, and key AI risk metric development and reporting.  

Role Responsibilities:

   Support the ED, Data and AI Risk Oversight in providing oversight of AI/GenAI initiatives and use cases, ensuring AI related risks are appropriately governed, managed, and controlled.
   Design and implement AI Risk framework which may include AI risk identification, assessment, monitoring, reporting and mitigating activities, with capability to generate overall risk profiles for AI use (on-prem or third party hosted).
   Provide advisory support and collaborate with AI governance stakeholders (business, technology, data, model owners, and compliance) to drive timely remediation of identified issues and to strengthen AI controls.
   Development and enhancement of second line AI Risk policies and standards
   Review and challenge of first line AI governance policies, standards, procedures, controls, risk metrics/indicators, and Risk and Control Self Assessments (RCSAs) related to AI use (including GenAI), such as use case approval, human in the loop controls, monitoring, and incident management.
   Maintain awareness of regulatory changes, supervisory guidance, new products/initiatives, process changes, control enhancements, and issues impacting AI risk (e.g., model risk, privacy, cyber, third party, and conduct risk).

Qualifications and Skills

   Strong knowledge of AI/ML and GenAI risks and controls, with the ability to align AI risk considerations to the firm's operational risk management framework.
   Minimum of 10 years of experience in risk management, technology risk, model risk management, data governance, and/or AI/analytics within the financial services industry.
   Experience with AI governance, model inventory, or GRC tooling (e.g., model registries, workflow/attestation tools, or governance platforms).
   Working knowledge of AI governance or risk frameworks (e.g., NIST AI Risk Management Framework), processes, and controls (e.g., model lifecycle management, validation, monitoring), and relevant industry guidance/standards.
   Experience preparing materials for senior management and board level committees, with strong written communication skills and attention to detail.
   Strong organizational and timemanagement skills, with the ability to manage multiple concurrent priorities in a matrixed environment.
   Experience supporting regulatory or audit remediation related to AI/model risk, technology risk, and data/privacy issues.
   Bachelor's degree required; Master's degree preferred.
   DCAM/DAMA/CDMP (or similar indust

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

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