Analytics Manager Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase hires Analytics Managers across lines of business including consumer banking, corporate finance, and risk, with roles that typically require advanced quantitative skills and leadership experience. The firm has a consistent track record of sponsoring international talent for analytics-focused positions across multiple visa categories.
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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.
See all 56+ Analytics Manager Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Manager Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Analytics Manager Jobs at JPMorganChase
Align your credentials to JPMorganChase's analytics stack
JPMorganChase's Analytics Manager roles consistently require proficiency in Python, SQL, and large-scale data platforms. Before applying, make sure your resume explicitly reflects experience with these tools, as hiring teams screen for technical depth alongside management experience.
Target line-of-business portals not just central listings
JPMorganChase posts Analytics Manager roles across Chase Consumer, Commercial Banking, and Corporate Functions separately. Searching each line-of-business careers section directly surfaces roles that don't always appear in aggregated job boards, giving you a wider view of open positions.
Identify whether your role triggers the PERM process
If you're pursuing a Green Card through an employer-sponsored EB-2 or EB-3 pathway, JPMorganChase typically initiates PERM labor certification after an internal review period. Confirm with your recruiter early whether the Analytics Manager role is designated as eligible for permanent sponsorship, since not all positions are.
Time your application around H-1B cap registration
H-1B cap-subject registrations open in March for an October 1 start. If you're not already in H-1B status, targeting an Analytics Manager offer by late winter gives JPMorganChase's legal team enough lead time to register you before the USCIS lottery window closes.
Use Migrate Mate to filter open Analytics Manager roles at JPMorganChase by visa type
Filtering by visa category before applying helps you focus on roles where sponsorship aligns with your current status. Migrate Mate lets you browse JPMorganChase's Analytics Manager listings specifically filtered for H-1B, E-3, or other sponsorship types, saving time on applications the firm won't support.
Clarify sponsorship scope during the offer stage
JPMorganChase's offer letters don't always specify which visa category will be filed or whether premium processing is included. Ask the recruiter or HR directly whether the firm covers premium processing fees and confirm the expected timeline before you accept, especially if you're on a visa with an expiring grace period.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Analytics Managers?
Yes, JPMorganChase sponsors H-1B visas for Analytics Manager roles. The firm has a well-established immigration program that handles H-1B filings across its business lines. If you're cap-subject, your offer needs to align with the USCIS H-1B registration window in March. If you already hold H-1B status with another employer, JPMorganChase can file an H-1B transfer, allowing you to start once the petition is received by USCIS.
Which visa types does JPMorganChase commonly use for Analytics Manager roles?
JPMorganChase sponsors several visa categories for Analytics Manager positions, including H-1B, H-1B1 visa (for Chilean and Singaporean nationals), and E-3 visa (for Australian citizens). For candidates pursuing permanent residence, the firm supports EB-2 and EB-3 Green Card pathways through PERM labor certification. The appropriate category depends on your nationality, educational background, and whether the role is designated for permanent sponsorship.
How do I apply for Analytics Manager jobs at JPMorganChase?
Apply directly through JPMorganChase's careers portal at careers.jpmorgan.com, where Analytics Manager roles are listed by line of business. You can also browse verified sponsorship-eligible openings on Migrate Mate, which filters JPMorganChase listings by visa type so you only see roles the firm actively sponsors. Tailor your resume to reflect quantitative leadership experience and specific tools like Python, SQL, and data visualization platforms before submitting.
What qualifications does JPMorganChase expect for Analytics Manager positions?
JPMorganChase typically looks for a bachelor's or master's degree in a quantitative field such as statistics, computer science, economics, or engineering. Analytics Manager roles at the firm usually require several years of hands-on data analysis experience plus demonstrated people management or project leadership. Familiarity with financial services data environments and regulatory reporting is a meaningful differentiator given JPMorganChase's scope across banking, asset management, and capital markets.
How do I understand the visa filing timeline after receiving an offer from JPMorganChase?
Once you receive an offer, JPMorganChase's in-house immigration team or an outside counsel firm will initiate the appropriate petition. For H-1B transfers, work authorization can begin as soon as USCIS receives the petition. For new H-1B cap cases, the October 1 start date is fixed, meaning there's typically a gap between offer acceptance and your first day. E-3 applicants move faster since the visa is processed through consular appointment in Australia, often within four to six weeks.