GenAI Engineer
Wilmington, DE · On-site
... analytics. • Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation • Implement RAG-based GenAI applications using internal banking data • Develop scalable data ...
GenAI Engineer
Wilmington, DE · On-site
... analytics. • Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation • Implement RAG-based GenAI applications using internal banking data • Develop scalable data ...
Strong knowledge of financial crime typologies and AML regulations, including the Bank Secrecy Act ... Experience leveraging data analytics to identify trends, anomalies, or support investigative ...
New
Strong knowledge of financial crime typologies and AML regulations, including the Bank Secrecy Act ... Experience leveraging data analytics to identify trends, anomalies, or support investigative ...
New
GenAI Engineer
Wilmington, DE · On-site
$100K - $110K/yr
... customer analytics. • Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation • Implement RAG-based GenAI applications using internal banking data • Develop ...
GenAI Engineer
Wilmington, DE · On-site
$100K - $110K/yr
... customer analytics. • Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation • Implement RAG-based GenAI applications using internal banking data • Develop ...
Associate General Counsel, Collections, Servicing and Customer Operations
Wilmington, DE · On-site +1
$178K - $225K/yr
Mission Lane is combining the power of data, technology, and exceptional service to pave a clear ... Strong, independent analytical judgment you trust enough to make calls in a fast-moving, still ...
Quick apply
Associate General Counsel, Collections, Servicing and Customer Operations
Wilmington, DE · On-site +1
$178K - $225K/yr
Mission Lane is combining the power of data, technology, and exceptional service to pave a clear ... Strong, independent analytical judgment you trust enough to make calls in a fast-moving, still ...
Obeys all applicable federal laws, rules, and regulations relating to Anti-Money Laundering (AML ... Have close visual acuity to perform activities such as analyzing data, viewing a computer terminal ...
Obeys all applicable federal laws, rules, and regulations relating to Anti-Money Laundering (AML ... Have close visual acuity to perform activities such as analyzing data, viewing a computer terminal ...
Senior Quantitative Risk Manager - BSA/AML (Hybrid - see job descriptions for potential work loca...
Wilmington, DE · Hybrid
$148K - $247K/yr
Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management. * Produce clear, defensible model ...
Senior Quantitative Risk Manager - BSA/AML (Hybrid - see job descriptions for potential work loca...
Wilmington, DE · Hybrid
$148K - $247K/yr
Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management. * Produce clear, defensible model ...
Aml Data Analyst information
See Delaware salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.6K
7% of jobs
$52.6K - $61.9K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.9K - $71.2K
18% of jobs
The median wage is $75.5K / yr.
$71.2K - $80.4K
16% of jobs
$80.4K - $89.7K
13% of jobs
$93.2K is the 75th percentile. Wages above this are outliers.
$89.7K - $99K
9% of jobs
$99K - $108.3K
5% of jobs
$108.3K - $117.6K
9% of jobs
$117.6K - $126.8K
3% of jobs
$126.8K - $136.1K
2% of jobs
$34K
$82.7K
$136.1K
How much do aml data analyst jobs pay per year?
As of Aug 14, 2026, the average yearly pay for aml data analyst in Delaware is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,100.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an AML data analyst, and why are they important?
To thrive as an AML Data Analyst, you need strong analytical abilities, knowledge of anti-money laundering regulations, and experience with data analysis, often supported by a degree in finance, accounting, or a related field. Familiarity with tools such as SQL, Excel, and AML transaction monitoring systems, as well as certifications like CAMS, are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for identifying suspicious activities and collaborating with compliance teams. These skills and qualifications are crucial for detecting financial crimes, ensuring regulatory compliance, and safeguarding the organization’s reputation.
How does an AML data analyst typically collaborate with compliance and investigation teams?
As an AML Data Analyst, you will frequently work alongside compliance officers and investigation teams to detect, analyze, and report suspicious financial activities. Your data-driven insights help inform ongoing investigations, ensuring that patterns of money laundering are identified and addressed promptly. Collaboration often involves presenting findings, discussing potential risks, and refining monitoring processes, making strong communication skills and a detail-oriented approach essential for success in this role.
Is an AML Data Analyst a good career?
An AML Data Analyst plays a key role in detecting and preventing financial crimes by analyzing transaction data and identifying suspicious activity. The position often requires strong analytical skills, knowledge of compliance regulations, and proficiency with data tools like SQL and Excel. It can offer stable employment with opportunities for advancement in the financial services industry.
What is the difference between Aml Data Analyst vs Kyc Analyst?
| Aspect | Aml Data Analyst | Kyc Analyst |
|---|---|---|
| Required Credentials | Certifications in AML, data analysis skills | Certifications in KYC, compliance, and customer verification |
| Work Environment | Financial institutions, banks, compliance teams | Financial institutions, banks, customer onboarding teams |
| Employer & Industry Usage | Used in AML monitoring, fraud detection | Used in customer due diligence, onboarding processes |
| Common Search & Comparison | Often compared for compliance roles involving data analysis | Related but focuses more on customer verification |
The Aml Data Analyst primarily focuses on analyzing data to detect money laundering activities, while the Kyc Analyst concentrates on verifying customer identities during onboarding. Both roles require compliance certifications and work within financial institutions, but their specific responsibilities differ in scope and focus.
What is an AML data analyst?
AML Data Analysts are professionals who specialize in detecting and preventing money laundering activities by analyzing financial data and transactions. They use various data analysis tools and techniques to identify suspicious patterns, trends, or anomalies that may indicate illicit activities. Their work supports compliance with anti-money laundering (AML) regulations and helps financial institutions mitigate the risk of financial crimes. AML Data Analysts also prepare reports for regulatory authorities and assist in the development of internal policies to strengthen AML controls.
Are AML Data Analysts in demand?
AML Data Analysts are in high demand due to increasing regulations and the need for financial institutions to detect and prevent money laundering. They often require skills in data analysis, knowledge of AML regulations, and proficiency with tools like SQL and Excel, making their role critical in compliance efforts across the finance sector.
What are popular job titles related to Aml Data Analyst jobs in Delaware?
For Aml Data Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Aml Data Analyst jobs in Delaware look for?
The top searched job categories for Aml Data Analyst jobs in Delaware are:
Job description
Job Summary:
ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications. The role involves building and deploying models, ensuring compliance, and collaborating with various teams to enhance AI capabilities.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications. The role involves building and deploying models, ensuring compliance, and collaborating with various teams to enhance AI capabilities.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998