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Model Risk Governance Manager Jobs in New Jersey

Showing results 21-40

Model Risk Governance Manager information

What is the difference between Model Risk Governance Manager vs Model Risk Analyst?

AspectModel Risk Governance ManagerModel Risk Analyst
Primary FocusOversees model risk policies, governance frameworks, and compliancePerforms detailed model validation, testing, and analysis
ResponsibilitiesDevelops risk management strategies, monitors model risk, ensures regulatory adherenceConducts model performance assessments, documentation, and validation activities
Required CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFA often preferredSimilar credentials; often holds certifications like FRM or CFA
Work EnvironmentStrategic, governance-focused teams within financial institutionsAnalytical teams performing technical validation tasks

The Model Risk Governance Manager focuses on overseeing model risk frameworks and ensuring compliance, while the Model Risk Analyst conducts detailed model validation and testing. Both roles require similar credentials and work within the financial industry, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Model Risk Governance jobs in New Jersey?

The most popular types of Model Risk Governance jobs in New Jersey are:

What are popular job titles related to Model Risk Governance Manager jobs in New Jersey?

For Model Risk Governance Manager jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Model Risk Governance Manager jobs in New Jersey look for?

The top searched job categories for Model Risk Governance Manager jobs in New Jersey are:

What cities in New Jersey are hiring for Model Risk Governance Manager jobs?

Cities in New Jersey with the most Model Risk Governance Manager job openings:

Infographic showing various Model Risk Governance Manager job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Safety & Responsible AI Lead (Responsible AI | AI Governance | Model Risk | Ethical AI)

Niche IT Software Solutions LLC

Jersey City, NJ • On-site

Other

Posted 17 days ago


Job description

AI Safety & Responsible AI Lead

Responsible AI | AI Governance | Model Risk | Ethical AI
Level: Governance Lead / Senior Manager / Director-Level Specialist

Role Overview

We are seeking an AI Safety & Responsible AI Lead to define and implement practical governance across enterprise AI platforms and citizen-development initiatives. This role ensures AI systems are safe, fair, explainable, transparent, compliant and continuously monitored.

Key Responsibilities
  • Define Responsible AI policies, risk taxonomies, control frameworks and governance operating models.
  • Establish processes for AI use-case intake, risk assessment, approvals, production readiness, monitoring and issue escalation.
  • Develop evaluation frameworks covering fairness, bias, explainability, privacy, robustness, hallucinations, harmful outputs and human oversight.
  • Define guardrails for LLMs, RAG systems, agentic workflows and high-risk banking use cases such as KYC, credit underwriting, financial crime and sanctions screening.
  • Govern citizen-development solutions built using Power Platform, Copilot Studio, Power Apps, Power Automate and Power BI.
  • Lead AI impact assessments, control reviews, remediation planning and incident-escalation processes.
  • Establish metrics for bias, safety violations, hallucinations, behaviour drift and user feedback.
  • Partner with legal, compliance, model risk, cybersecurity, audit, data, product and engineering teams.
Required Skills
  • Strong expertise in Responsible AI, AI ethics, model governance, model risk, fairness, explainability, privacy and safety.
  • Experience implementing AI governance controls in enterprise or production environments.
  • Understanding of LLM risks, including hallucination, bias, toxicity, prompt injection, data leakage, unsafe automation and overreliance.
  • Ability to translate policies and regulatory requirements into practical engineering, operational and audit controls.
  • Strong cross-functional stakeholder management and experience developing scalable governance frameworks.
Preferred Experience
  • Banking, insurance, fintech, consulting, model risk, regulatory risk or data-governance experience.
  • Experience building AI risk taxonomies, control libraries, governance models and Responsible AI playbooks.
  • Familiarity with Power Platform, Copilot Studio, global AI governance frameworks, model validation, privacy regulations and audit requirements.

Alternate Titles: Responsible AI Lead, AI Governance Lead, AI Risk Lead, Model Governance Lead, AI Ethics Lead, AI Policy Lead or AI Safety Lead.