Risk Manager Jobs at JPMorganChase with Visa Sponsorship
Risk Manager jobs at JPMorganChase sit at the intersection of quantitative analysis, regulatory compliance, and enterprise-scale decision-making. The firm has a well-established sponsorship process for this function, supporting candidates across multiple visa categories from initial offer through long-term permanent residency pathways.
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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 73+ Risk Manager Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Risk Manager Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Risk Manager Jobs at JPMorganChase
Align Your Credentials With LCA Wage Levels
JPMorganChase files Labor Condition Applications with the DOL before sponsoring any visa. Research the prevailing wage levels for Risk Manager roles in New York, Columbus, and other hub cities so your salary expectations align with what the LCA will certify.
Target Lines With Regulatory Exposure
Risk Manager openings tied to Basel III compliance, CCAR stress testing, or model risk governance are consistently staffed across cycles. These regulatory-driven teams have a stronger pattern of sponsoring specialized candidates because the skill set is narrow and the demand is ongoing.
Prepare a Specialty Occupation Documentation Package Early
For H-1B or E-3 visa sponsorship, USCIS requires evidence that the role needs a specific degree in a relevant field. Gather transcripts, a degree equivalency evaluation if your credential is from outside the U.S., and a written breakdown of how your coursework maps directly to risk management.
Distinguish Yourself on the Quant and Regulatory Axis
JPMorganChase Risk Manager roles typically expect proficiency in both quantitative modeling and regulatory frameworks like SR 11-7. Candidates who demonstrate hands-on experience with model validation or counterparty credit risk move faster through the hiring process and face fewer sponsorship hesitations at the offer stage.
Clarify Visa Type With Recruiting Before Offer Stage
JPMorganChase sponsors H-1B, H-1B1 visa, E-3, and Green Card pathways, but which visa applies to you depends on your nationality and status. Confirm with the recruiter early which category they intend to file under so you can verify your eligibility and avoid delays after the offer is extended.
Use Migrate Mate to Surface Active Openings
Risk Manager roles at large conglomerates like JPMorganChase cycle through multiple hiring rounds annually. Use Migrate Mate to filter open positions specifically flagged for visa sponsorship so you're applying to live roles where sponsorship is already confirmed, not assumed.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Risk Managers?
Yes, JPMorganChase sponsors H-1B visas for Risk Manager roles. The firm has a dedicated immigration team that manages the process, including DOL Labor Condition Application filing and USCIS petition submission. Because JPMorganChase is a large employer, it qualifies for cap-exempt filings in some contexts, but standard cap-subject H-1B sponsorship requires timing your offer around the annual lottery in March.
How do I apply for Risk Manager jobs at JPMorganChase?
You can apply directly through JPMorganChase's careers portal, filtering by job function and location. For roles where visa sponsorship is a priority, Migrate Mate aggregates active Risk Manager openings at JPMorganChase that are confirmed for sponsorship, which saves time sorting through listings where sponsorship eligibility is unclear. Tailor your resume to highlight quantitative modeling, regulatory frameworks like CCAR or Basel, and any model risk governance experience.
Which visa types does JPMorganChase use for Risk Manager roles?
JPMorganChase sponsors H-1B and H-1B1 visas for most international Risk Manager hires. Australian citizens are eligible for the E-3 visa, which operates outside the H-1B lottery and allows two-year renewable status. For longer-term employees, the firm also supports EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process filed with the DOL.
What qualifications does JPMorganChase expect for Risk Manager roles?
Most Risk Manager postings at JPMorganChase require a bachelor's degree at minimum in finance, mathematics, statistics, or a closely related quantitative field, with a master's or CFA preferred for senior levels. Practical experience with model validation, credit risk, market risk, or liquidity risk frameworks matters as much as credentials. Familiarity with regulatory guidance such as SR 11-7 or CCAR stress testing methodology strengthens your application significantly.
How do I time my application around the H-1B sponsorship process at JPMorganChase?
USCIS opens H-1B registration in early March each year, with a lottery selection shortly after. To meet that window, you need an offer in hand and an LCA certified by the DOL, which typically takes one to two weeks. Targeting your application process in the November through February window gives JPMorganChase's immigration team enough lead time to prepare your petition before the filing period opens April 1.