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Aml Developer Jobs in Nevada (NOW HIRING)

... 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 ...

Aml Developer information

What are the key skills and qualifications needed to thrive as an AML developer, and why are they important?

To thrive as an AML Developer, you need expertise in programming (such as Python, Java, or SQL), a strong understanding of anti-money laundering regulations, and experience with financial systems. Familiarity with AML software platforms (like Actimize or Mantas), data analytics tools, and relevant certifications (such as CAMS) is typically required. Analytical thinking, attention to detail, and effective communication are critical soft skills that help in identifying suspicious activity and collaborating with compliance teams. These skills are essential to design robust AML solutions, ensure regulatory compliance, and protect organizations from financial crimes.

What are some common challenges faced by AML developers when integrating compliance solutions with legacy banking systems?

AML Developers often encounter challenges when integrating modern anti-money laundering solutions with existing legacy banking systems. These legacy systems may have outdated architectures, limited APIs, and inconsistent data formats, making seamless data flow and real-time monitoring difficult. Overcoming these obstacles typically requires creative problem-solving, strong collaboration with IT and compliance teams, and thorough testing to ensure regulatory requirements are met without disrupting core banking operations.

What is the difference between Aml Developer vs Compliance Analyst?

AspectAml DeveloperCompliance Analyst
CertificationsAML certifications, such as CAMSCompliance certifications, like CCEP or CAMS
Work EnvironmentDevelops AML systems, works with IT and compliance teamsMonitors compliance, reviews policies, audits
Industry UsageFinancial institutions, banks, fintechFinancial services, banking, regulatory agencies

While both roles focus on anti-money laundering efforts, Aml Developers primarily design and implement AML software solutions, whereas Compliance Analysts monitor and ensure adherence to AML regulations. The roles often collaborate but differ in technical versus compliance focus.

What is an AML developer?

An AML Developer is a technology professional who specializes in designing, developing, and maintaining software solutions that help organizations comply with Anti-Money Laundering (AML) regulations. They work on systems that detect suspicious transactions, automate compliance processes, and generate regulatory reports. AML Developers often collaborate with compliance teams to implement rules and algorithms that identify potential money laundering activities. Their role is crucial in safeguarding financial institutions from financial crimes and regulatory penalties.

What are popular job titles related to Aml Developer jobs in Nevada?

For Aml Developer jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Aml Developer jobs?

Cities in Nevada with the most Aml Developer job openings:

Infographic showing various Aml Developer job openings in Nevada as of June 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. The Assistant Vice President of Artificial Intelligence is responsible for leading the delivery and execution of AI and machine learning capabilities within a regulated banking environment, focusing on fraud prevention, credit risk management, and customer experience personalization.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• 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.
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.