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$88.1K

$161.2K

$243.9K

How much do credit risk monitor jobs pay per year?

As of Jun 19, 2026, the average yearly pay for credit risk monitor in Nevada is $161,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $180,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Credit Risk Monitors in their day-to-day work?

Credit Risk Monitors often contend with the challenge of evaluating complex financial data from multiple sources to assess a borrower's creditworthiness. They must stay updated on changing market conditions and regulatory requirements, which can impact risk assessments. Another frequent challenge is balancing the need for thorough analysis with tight reporting deadlines. Collaboration with other departments, such as loan officers and compliance teams, is essential for obtaining accurate information and ensuring company policies are followed.

Is risk analyst a high paying job?

A risk analyst, including credit risk monitor roles, typically earns a competitive salary that varies by industry, experience, and location. Entry-level positions may start lower, but experienced risk analysts with specialized skills and certifications can earn higher wages, often comparable to other finance and risk management roles.

What are the key skills and qualifications needed to thrive as a Credit Risk Monitor, and why are they important?

To thrive as a Credit Risk Monitor, you need strong analytical skills, financial acumen, and a background in finance, accounting, or economics, often supported by a relevant degree. Familiarity with risk assessment tools, credit scoring models, and platforms such as Moody’s Analytics or S&P Global Market Intelligence is typically required. Attention to detail, effective communication, and sound judgment help in interpreting data and conveying risk findings to stakeholders. These skills are essential to accurately evaluate creditworthiness and support informed decision-making that protects organizational assets.

How much do credit risk analysts earn?

Credit risk analysts typically earn a median annual salary ranging from $60,000 to $85,000, depending on experience, location, and industry. Entry-level analysts may start at lower salaries, while experienced professionals with certifications can earn over $100,000 annually. The role often requires strong analytical skills and familiarity with financial modeling tools.

What is a Credit Risk Analyst's salary?

A Credit Risk Analyst's salary typically ranges from $55,000 to $85,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often supplemented with bonuses and benefits.

What is a Credit Risk Monitor?

A Credit Risk Monitor is a professional responsible for analyzing and assessing the credit risk associated with lending or extending credit to individuals or organizations. They monitor financial statements, payment histories, and market trends to evaluate the likelihood of default. Credit Risk Monitors help financial institutions and businesses minimize losses by providing recommendations on credit limits, terms, and risk mitigation strategies. Their work is essential for maintaining the financial health and stability of organizations that rely on credit transactions.

What are the 5 C's of credit risk?

The 5 C's of credit risk—used by credit risk monitors—are Character, Capacity, Capital, Collateral, and Conditions. These factors help assess a borrower's ability and willingness to repay a loan and are fundamental in credit analysis. Understanding these elements is essential for evaluating creditworthiness and managing risk effectively.

What is the difference between Credit Risk Monitor vs Credit Analyst?

AspectCredit Risk MonitorCredit Analyst
Required credentialsTypically requires finance, economics, or related degrees; certifications like CFA are a plusSimilar educational background; certifications like CFA or CPA can be advantageous
Work environmentFinancial services, credit risk assessment, often in corporate or agency settingsBanking, lending institutions, or corporate finance departments
Employer and industry usageUsed by credit rating agencies, financial institutions, and risk management firmsCommon in banks, investment firms, and credit departments

While both roles involve financial analysis and risk assessment, Credit Risk Monitors focus on monitoring and analyzing credit risks at a broader level, often involving data aggregation and industry trend analysis. Credit Analysts typically evaluate individual creditworthiness of clients or companies to inform lending decisions. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Credit Risk Monitor jobs in Nevada? For Credit Risk Monitor jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Credit Risk Monitor jobs in Nevada look for? The top searched job categories for Credit Risk Monitor jobs in Nevada are:
What cities in Nevada are hiring for Credit Risk Monitor jobs? Cities in Nevada with the most Credit Risk Monitor job openings:
Credit Risk Monitor jobs near you
Vice President, Artificial Intelligence (VP of AI)

Vice President, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV • On-site

Full-time

Posted 21 days ago

Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. They are seeking a Vice President of Artificial Intelligence (VP of AI) to lead enterprise-wide AI strategy, innovation, and execution, overseeing the development and governance of AI/ML systems to ensure business value and responsible practices.
Responsibilities:
• 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.
Qualifications:
Required:
• Bachelor’s degree in computer science, Engineering, Data Science, or related field.
• 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.
Preferred:
• Supervised, unsupervised, reinforcement learning
• Deep learning (CNNs, RNNs, Transformers)
• Natural Language Processing (NLP) & LLMs
• Generative AI (diffusion models, fine-tuning, RAG)
• Model training, deployment, monitoring, and retraining
• Feature stores, vector databases, and model registries
• CI/CD pipelines for ML (MLOps)
• GPU/accelerator compute architectures
• Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
• Kubernetes, containerization, microservices
• Data platforms (Databricks, Snowflake, Synapse)
• Model explainability (SHAP, LIME)
• Fairness, bias detection, model risk controls
• Privacy-preserving ML techniques (differential privacy, federated learning)
• Python, PyTorch, TensorFlow, JAX
• LangChain, semantic search, vector embeddings
• Prompt engineering & LLM orchestration frameworks
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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