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Manager Model Risk Management Jobs in Nevada (NOW HIRING)

Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards. * Partner with Risk, Compliance, Legal, Cybersecurity, and ...

Support banking relationships and capital management and support the implementation of future ... Coordinate risk assessments, maintain risk registers, and prepare materials for executive and ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

Description Position Summary This position is a part of the Risk Management department but supports the entire bank. The Model Development team challenges the status quo through their statistical and ...

Governance, Risk, and Controls, Ensure compliance with enterprise data governance, model risk management, technology controls, and regulatory requirements. Build and lead a high-performing team of ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

Description Position Summary This position is a part of the Risk Management department but supports the entire bank. The Model Development team challenges the status quo through their statistical and ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

Position Summary This position is a part of the Risk Management department but supports the entire bank. The Model Development team challenges the status quo through their statistical and machine ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

Position Summary This position is a part of the Risk Management department but supports the entire bank. The Model Development team challenges the status quo through their statistical and machine ...

Showing results 21-40

Manager Model Risk Management information

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

AspectManager Model Risk ManagementModel Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Master's in Finance or Risk), certifications like FRM or CFAOften requires similar credentials, such as FRM or CFA, but may have less emphasis on managerial certifications
Work EnvironmentLeads teams, manages risk frameworks, and interacts with senior managementPerforms detailed risk analysis, supports model validation, and reports findings
Employer & Industry UsageCommon in banking, asset management, and financial institutionsFound in similar environments, often as a supporting role to managers

The Manager Model Risk Management oversees the entire model risk framework, manages teams, and interacts with senior stakeholders. In contrast, the Model Risk Analyst focuses on detailed analysis, validation, and reporting of models. Both roles require similar credentials but differ in scope and responsibilities.

What are the most commonly searched types of Model Risk Management jobs in Nevada? The most popular types of Model Risk Management jobs in Nevada are:
What are popular job titles related to Manager Model Risk Management jobs in Nevada? For Manager Model Risk Management jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Manager Model Risk Management jobs in Nevada look for? The top searched job categories for Manager Model Risk Management jobs in Nevada are:
What cities in Nevada are hiring for Manager Model Risk Management jobs? Cities in Nevada with the most Manager Model Risk Management job openings:

AVP, Artificial Intelligence

CreditOne

Las Vegas, NV • On-site

Full-time

Re-posted 10 days ago


Job description

Description
Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. 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 personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.

Position Requirements
Core AI Concepts and Technologies Required:
  • Machine 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

  • 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

  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Preferred
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.

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.