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Vice President Credit Risk Jobs in Nevada (NOW HIRING)

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience ...

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All JobsVice President Credit Risk JobsVice President Credit Risk Jobs in Nevada

Vice President Credit Risk information

See Nevada salary details

$44.3K

$160.4K

$282.6K

How much do vice president credit risk jobs pay per year?

As of Sep 1, 2026, the average yearly pay for vice president credit risk in Nevada is $160,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $193,500.00 per year, depending on experience, location, and employer.

What is a vice president credit risk?

A Vice President Credit Risk is a senior leader responsible for assessing, managing, and mitigating credit risk within a financial institution. They develop risk policies, oversee credit analysis, and ensure compliance with regulatory requirements. This role involves working closely with lending teams, risk analysts, and senior executives to establish risk appetite and optimize portfolio performance. Strong analytical skills, financial acumen, and industry knowledge are essential for success in this position.

What are the typical daily responsibilities of a vice president credit risk?

A Vice President Credit Risk typically reviews and approves large lending proposals, monitors the organization’s credit risk exposure, and leads the development of risk assessment frameworks. They collaborate closely with teams in underwriting, portfolio management, and regulatory compliance to ensure policies align with business objectives and industry standards. The role also involves mentoring junior risk professionals, presenting risk findings to executive leadership, and staying up-to-date with changes in market conditions and regulations. This dynamic environment requires both strategic oversight and hands-on analysis, balancing risk and opportunity to support the organization’s growth.

What are the key skills and qualifications needed to thrive in the vice president credit risk position?

To thrive as a Vice President Credit Risk, you need extensive experience in credit risk management, strong analytical abilities, and a solid understanding of financial regulations, typically supported by a relevant degree (such as finance or economics). Familiarity with credit risk modeling tools, risk assessment software, and industry certifications like FRM or CFA is highly valued. Exceptional leadership, strategic thinking, and communication skills help you manage teams and collaborate effectively across departments. These competencies are crucial for identifying, assessing, and mitigating credit risks to ensure the organization’s long-term financial stability.

What are the most commonly searched types of Credit Risk jobs in Nevada?

The most popular types of Credit Risk jobs in Nevada are:

What are popular job titles related to Vice President Credit Risk jobs in Nevada?

For Vice President Credit Risk jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Vice President Credit Risk jobs in Nevada look for?

The top searched job categories for Vice President Credit Risk jobs in Nevada are:

What cities in Nevada are hiring for Vice President Credit Risk jobs?

Cities in Nevada with the most Vice President Credit Risk job openings:

Vice President Credit Risk jobs near you
Infographic showing various Vice President Credit Risk job openings in Nevada as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 94% In-person, 4% Hybrid, and 2% Remote job distribution, with an average salary of $160,416 per year, or $77.1 per hour.

Vice President II, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV

Full-time

Re-posted 6 days ago

Job description

Position Summary 

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
  • Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
  • Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
  • Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
  • Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
  • Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
  • Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
  • Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
  • Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
  • Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
  • Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
  • Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
  • Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
  • Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
  • Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
  • Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
  • Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
  • Proven ability to lead and inspire diverse technical teams.
  • Ability to drive outcomes, influence strategic decisions, and deliver business value.
  • Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
PreferredCore AI Concepts and Technologies RequiredMachine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controls
  • Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.