Analytics Engineer Visa Sponsorship Jobs in Delaware
Analytics engineer visa sponsorship jobs in Delaware are concentrated around Wilmington, where major financial institutions like JPMorgan Chase, Bank of America, and Barclays operate large technology and data teams. The state's financial services and life sciences sectors drive consistent demand for analytics engineering talent, making it a focused but competitive market for international candidates.
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Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Risk Intelligence & AI Lead in consumer banking Risk Insights, you will own the development and evolution of AI-powered risk intelligence capabilities that monitor consumer and small business health, detect emerging risks, and deliver actionable insights to senior leadership. You will sit at the intersection of data science, Generative AI, and risk strategy — leading the design and deployment of LLM-driven solutions, agentic AI workflows, and advanced analytical tools that automate research, generate executive narratives, and enhance the speed and quality of risk decision-making. This role offers a rare combination of strategic influence and hands-on technical leadership. You will partner directly with Technology, Data, Risk Management, and Governance teams to build scalable, production-grade AI solutions while ensuring full compliance with firm standards for model governance, responsible AI, and controls. You will translate complex macroeconomic, credit, and portfolio trends into clear, compelling communications for senior executives — making you a critical voice in how the consumer bank understands and responds to the world around it.
Job Responsibilities
- Develop and maintain risk intelligence capabilities that leverage internal and external data sources, large datasets, and analytical tools to monitor consumer and small business health, credit performance, labor market conditions, and macroeconomic developments
- Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM-powered solutions
- Design, build, and maintain AI-powered solutions that automate emerging risk detection, narrative generation, executive reporting, research workflows, and conversational analytics across consumer banking Risk
- Translate complex risk, economic, and portfolio trends into actionable insights, executive-ready communications, and strategic recommendations for senior leadership
- Evaluate, test, and implement new AI technologies, analytical tools, and platforms — developing scalable, repeatable capabilities that improve efficiency, insight quality, and risk monitoring effectiveness
- Partner with Technology, Data, Risk Management, and Governance teams to ensure all analytical and AI solutions comply with firm standards for controls, model governance, security, and responsible AI practices
- Build and refine automated research and reporting pipelines that synthesize structured and unstructured data into timely, high-quality risk intelligence outputs
- Identify and assess emerging risks across consumer and small business portfolios by integrating alternative data, market signals, and macroeconomic indicators into monitoring frameworks
- Develop scalable prototypes and proof-of-concept solutions that demonstrate the value of new AI capabilities, driving adoption and stakeholder buy-in across the organization
- Collaborate cross-functionally with data engineering, product, and business stakeholders to define requirements, prioritize use cases, and ensure AI solutions address real business needs
- Stay current on advancements in large language models, agentic AI frameworks, and applied AI research, proactively identifying opportunities to enhance Risk Insights capabilities
Required Qualifications, Capabilities, And Skills
- 3+ years of experience in data science, risk analytics, AI/ML engineering, or a related quantitative discipline within financial services or a similarly complex, regulated industry
- Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or a related quantitative field
- Experience developing and deploying Generative AI or LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or agent-based architectures
- Strong proficiency in Python and SQL, with demonstrated experience working with large-scale structured and unstructured datasets
- Proven ability to translate complex analytical findings into clear, concise executive communications and actionable recommendations for senior stakeholders
- Experience building automated data pipelines, reporting workflows, or analytical tools that operate at production scale
- Solid understanding of consumer credit risk, macroeconomic indicators, labor market dynamics, or portfolio performance analytics
- Demonstrated experience partnering with technology, governance, and risk management teams to deliver solutions that meet enterprise-level controls, model risk management, and responsible AI standards
- Strong knowledge of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent)
- Excellent problem-solving skills with the ability to work independently, manage ambiguity, and drive projects from concept through production deployment
- Experience with data visualization tools and techniques for communicating risk trends and analytical outputs to non-technical audience
Preferred Qualifications, Capabilities, And Skills
- Master's degree or PhD in a quantitative discipline such as Computer Science, Machine Learning, Statistics, Economics, or Computational Finance
- Experience with agentic AI frameworks, multi-agent orchestration, or autonomous workflow design
- Familiarity with JPMorganChase internal platforms, data infrastructure, and risk management frameworks
- Experience with cloud-based AI/Machine Learning platforms (e.g., AWS SageMaker, Azure ML, or equivalent enterprise environments)
- Background in natural language processing (NLP) applied to financial documents, earnings reports, regulatory filings, or news analytics
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
Job Summary
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Risk Intelligence & AI Lead in consumer banking Risk Insights, you will own the development and evolution of AI-powered risk intelligence capabilities that monitor consumer and small business health, detect emerging risks, and deliver actionable insights to senior leadership. You will sit at the intersection of data science, Generative AI, and risk strategy — leading the design and deployment of LLM-driven solutions, agentic AI workflows, and advanced analytical tools that automate research, generate executive narratives, and enhance the speed and quality of risk decision-making. This role offers a rare combination of strategic influence and hands-on technical leadership. You will partner directly with Technology, Data, Risk Management, and Governance teams to build scalable, production-grade AI solutions while ensuring full compliance with firm standards for model governance, responsible AI, and controls. You will translate complex macroeconomic, credit, and portfolio trends into clear, compelling communications for senior executives — making you a critical voice in how the consumer bank understands and responds to the world around it.
Job Responsibilities
- Develop and maintain risk intelligence capabilities that leverage internal and external data sources, large datasets, and analytical tools to monitor consumer and small business health, credit performance, labor market conditions, and macroeconomic developments
- Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM-powered solutions
- Design, build, and maintain AI-powered solutions that automate emerging risk detection, narrative generation, executive reporting, research workflows, and conversational analytics across consumer banking Risk
- Translate complex risk, economic, and portfolio trends into actionable insights, executive-ready communications, and strategic recommendations for senior leadership
- Evaluate, test, and implement new AI technologies, analytical tools, and platforms — developing scalable, repeatable capabilities that improve efficiency, insight quality, and risk monitoring effectiveness
- Partner with Technology, Data, Risk Management, and Governance teams to ensure all analytical and AI solutions comply with firm standards for controls, model governance, security, and responsible AI practices
- Build and refine automated research and reporting pipelines that synthesize structured and unstructured data into timely, high-quality risk intelligence outputs
- Identify and assess emerging risks across consumer and small business portfolios by integrating alternative data, market signals, and macroeconomic indicators into monitoring frameworks
- Develop scalable prototypes and proof-of-concept solutions that demonstrate the value of new AI capabilities, driving adoption and stakeholder buy-in across the organization
- Collaborate cross-functionally with data engineering, product, and business stakeholders to define requirements, prioritize use cases, and ensure AI solutions address real business needs
- Stay current on advancements in large language models, agentic AI frameworks, and applied AI research, proactively identifying opportunities to enhance Risk Insights capabilities
Required Qualifications, Capabilities, And Skills
- 3+ years of experience in data science, risk analytics, AI/ML engineering, or a related quantitative discipline within financial services or a similarly complex, regulated industry
- Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or a related quantitative field
- Experience developing and deploying Generative AI or LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or agent-based architectures
- Strong proficiency in Python and SQL, with demonstrated experience working with large-scale structured and unstructured datasets
- Proven ability to translate complex analytical findings into clear, concise executive communications and actionable recommendations for senior stakeholders
- Experience building automated data pipelines, reporting workflows, or analytical tools that operate at production scale
- Solid understanding of consumer credit risk, macroeconomic indicators, labor market dynamics, or portfolio performance analytics
- Demonstrated experience partnering with technology, governance, and risk management teams to deliver solutions that meet enterprise-level controls, model risk management, and responsible AI standards
- Strong knowledge of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent)
- Excellent problem-solving skills with the ability to work independently, manage ambiguity, and drive projects from concept through production deployment
- Experience with data visualization tools and techniques for communicating risk trends and analytical outputs to non-technical audience
Preferred Qualifications, Capabilities, And Skills
- Master's degree or PhD in a quantitative discipline such as Computer Science, Machine Learning, Statistics, Economics, or Computational Finance
- Experience with agentic AI frameworks, multi-agent orchestration, or autonomous workflow design
- Familiarity with JPMorganChase internal platforms, data infrastructure, and risk management frameworks
- Experience with cloud-based AI/Machine Learning platforms (e.g., AWS SageMaker, Azure ML, or equivalent enterprise environments)
- Background in natural language processing (NLP) applied to financial documents, earnings reports, regulatory filings, or news analytics
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
Analytics Engineer Job Roles in Delaware
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Search Analytics Engineer Jobs in DelawareAnalytics Engineer Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Delaware?
Delaware's largest visa sponsors for analytics engineering roles are concentrated in financial services. JPMorgan Chase, Bank of America, Barclays, and Capital One all maintain significant technology operations in Wilmington and have established H-1B visa sponsorship histories. DuPont and Incyte on the life sciences side also hire analytics engineers and have sponsored work visas for international candidates in data-focused roles.
Which visa types are most common for analytics engineer roles in Delaware?
The H-1B is the most common visa category for analytics engineers in Delaware, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some candidates with Canadian or Mexican citizenship use the TN visa under the USMCA. Australians may qualify for the E-3 visa, which has no lottery and faster processing than the H-1B.
Which cities in Delaware have the most analytics engineer sponsorship jobs?
Wilmington accounts for the vast majority of analytics engineer sponsorship activity in Delaware. It functions as the state's financial and corporate hub, hosting headquarters and major operations for several large banks and credit card companies. Newark, home to the University of Delaware, sees some data hiring tied to research and technology partnerships, but Wilmington is where most sponsored roles are posted.
How to find analytics engineer visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find analytics engineer roles in Delaware without manually screening hundreds of postings. You can search by state and role to surface positions at Delaware employers that have an active history of sponsoring international candidates, particularly in the Wilmington financial services corridor.
Are there any state-specific considerations for analytics engineers seeking sponsorship in Delaware?
Delaware's corporate-friendly legal environment means many large companies are incorporated there even if their analytics teams sit elsewhere, so confirm the actual work location before applying. The state has no large public technology sector, so most sponsorship activity runs through private financial institutions and life sciences firms. The University of Delaware produces analytics talent locally, which means competition for entry-level sponsored roles can be higher than the state's size suggests.
What is the prevailing wage for sponsored analytics engineer jobs in Delaware?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.