Scientist Jobs at JPMorganChase with Visa Sponsorship
Scientist jobs at JPMorganChase span quantitative research, data science, and applied modeling functions, with the company maintaining a well-established process for sponsoring work visas across multiple categories. If you're targeting a Scientist role here, you're looking at one of the more active sponsors in financial services.
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Get Access To All JobsINTRODUCTION
Join JPMorgan’s Asset & Wealth Management Risk Analytics Group and help shape the future of risk management through data science and AI. As a Vice President Data Scientist, you’ll collaborate with top quantitative and market risk professionals to deliver transformative analytics solutions. Your expertise will directly impact our risk methodologies and the Newton platform, enhancing decision-making and operational efficiency. Be part of a team that values innovation, technical excellence, and continuous learning. Make a difference in a dynamic environment where your work drives real business outcomes.
As a Data Scientist - Vice President in the AWM Risk Analytics Group, you will partner with senior team members to identify, design, and implement data-driven risk analytics solutions. You’ll leverage your quantitative and technical skills to develop, fine-tune, and deploy advanced machine learning models, supporting the evolution of our risk management systems and methodologies. This is a unique opportunity to work at the intersection of financial markets, AI, and big data, driving innovation and efficiency across our Asset & Wealth Management business.
Job Responsibilities
- Identify and evaluate use cases for data science to enhance risk analytics and create business value.
- Lead the development and continuous improvement of AI/ML and statistical techniques for data validation and analytics.
- Design, pre-train, and fine-tune production-grade language models for hierarchical classification, summarization, and QA.
- Collaborate with stakeholders to deliver scalable, flexible solutions using approved AI and LLM technologies.
- Perform prompt engineering, quantization, and evaluation to optimize large language model robustness and performance.
- Analyze and onboard new, large data sets, ensuring alignment with best practice data models and architecture.
- Partner with Technology teams to optimize model performance and deployment using customized training frameworks.
- Design and implement sophisticated model serving systems leveraging distributed systems and AWS cloud.
- Contribute to the research and enhancement of risk methodologies, including sensitivity, stress, VaR, factor modeling, and Lending Value pricing.
- Support the full product development lifecycle, from defining objectives to delivering key data-driven solutions.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
BASIC QUALIFICATIONS
- Minimum 4 years’ experience as a Data Scientist or in an applied AI/quantitative role, developing and deploying NLP and predictive models.
- Strong foundation in statistics, applied AI/ML techniques, and advanced problem-solving.
- Hands-on experience with distributed computing, NLP (entity recognition, text classification, summarization, QA), and LLM optimization.
- Proficiency in Python, SQL, R, PyTorch or TensorFlow, and AWS.
- Experience with frameworks such as LangChain, LangGraph, or AutoGen.
- Demonstrated ability to improve model robustness and conduct advanced statistical modeling and A/B testing.
- Detail-oriented, able to multi-task, and work independently in a fast-paced environment.
- Excellent communication and collaboration skills.
- Experience in modular programming and big data platforms.
- Bachelor’s degree in a quantitative or technology field (AI, Mathematics, Statistics, Engineering, Computer Science, or equivalent).
- Proven track record of delivering data-driven solutions in a business context.
PREFERRED QUALIFICATIONS
- Experience in financial markets in a quantitative analysis, research, or risk management role.
- Knowledge of asset pricing, VaR backtesting, and model performance testing.
- Advanced degree (Master’s or PhD) in a quantitative or technology discipline.
- Experience with model serving systems and distributed architectures.
- Familiarity with citizen developer platforms and process automation.
- Exposure to Front Office or equivalent financial roles.
- Demonstrated ability to drive innovation and efficiency in risk 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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
INTRODUCTION
Join JPMorgan’s Asset & Wealth Management Risk Analytics Group and help shape the future of risk management through data science and AI. As a Vice President Data Scientist, you’ll collaborate with top quantitative and market risk professionals to deliver transformative analytics solutions. Your expertise will directly impact our risk methodologies and the Newton platform, enhancing decision-making and operational efficiency. Be part of a team that values innovation, technical excellence, and continuous learning. Make a difference in a dynamic environment where your work drives real business outcomes.
As a Data Scientist - Vice President in the AWM Risk Analytics Group, you will partner with senior team members to identify, design, and implement data-driven risk analytics solutions. You’ll leverage your quantitative and technical skills to develop, fine-tune, and deploy advanced machine learning models, supporting the evolution of our risk management systems and methodologies. This is a unique opportunity to work at the intersection of financial markets, AI, and big data, driving innovation and efficiency across our Asset & Wealth Management business.
Job Responsibilities
- Identify and evaluate use cases for data science to enhance risk analytics and create business value.
- Lead the development and continuous improvement of AI/ML and statistical techniques for data validation and analytics.
- Design, pre-train, and fine-tune production-grade language models for hierarchical classification, summarization, and QA.
- Collaborate with stakeholders to deliver scalable, flexible solutions using approved AI and LLM technologies.
- Perform prompt engineering, quantization, and evaluation to optimize large language model robustness and performance.
- Analyze and onboard new, large data sets, ensuring alignment with best practice data models and architecture.
- Partner with Technology teams to optimize model performance and deployment using customized training frameworks.
- Design and implement sophisticated model serving systems leveraging distributed systems and AWS cloud.
- Contribute to the research and enhancement of risk methodologies, including sensitivity, stress, VaR, factor modeling, and Lending Value pricing.
- Support the full product development lifecycle, from defining objectives to delivering key data-driven solutions.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
BASIC QUALIFICATIONS
- Minimum 4 years’ experience as a Data Scientist or in an applied AI/quantitative role, developing and deploying NLP and predictive models.
- Strong foundation in statistics, applied AI/ML techniques, and advanced problem-solving.
- Hands-on experience with distributed computing, NLP (entity recognition, text classification, summarization, QA), and LLM optimization.
- Proficiency in Python, SQL, R, PyTorch or TensorFlow, and AWS.
- Experience with frameworks such as LangChain, LangGraph, or AutoGen.
- Demonstrated ability to improve model robustness and conduct advanced statistical modeling and A/B testing.
- Detail-oriented, able to multi-task, and work independently in a fast-paced environment.
- Excellent communication and collaboration skills.
- Experience in modular programming and big data platforms.
- Bachelor’s degree in a quantitative or technology field (AI, Mathematics, Statistics, Engineering, Computer Science, or equivalent).
- Proven track record of delivering data-driven solutions in a business context.
PREFERRED QUALIFICATIONS
- Experience in financial markets in a quantitative analysis, research, or risk management role.
- Knowledge of asset pricing, VaR backtesting, and model performance testing.
- Advanced degree (Master’s or PhD) in a quantitative or technology discipline.
- Experience with model serving systems and distributed architectures.
- Familiarity with citizen developer platforms and process automation.
- Exposure to Front Office or equivalent financial roles.
- Demonstrated ability to drive innovation and efficiency in risk 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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
See all Scientist Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Scientist Jobs at JPMorganChase
Frame Your Research for Financial Applications
JPMorganChase Scientist roles typically require you to connect quantitative or applied research to business outcomes. When preparing your resume and portfolio, show how your work translated into measurable impact, not just academic output or publication counts.
Target Teams Beyond the Obvious Divisions
AI Research, Global Technology, and the Applied Data Science function all hire Scientists at JPMorganChase. Looking beyond the main technology careers portal and searching by research group or lab often surfaces openings that attract less competition from applicants.
Search Verified Sponsoring Employers on Migrate Mate
Filter Scientist openings at JPMorganChase using Migrate Mate to confirm which roles are actively tied to sponsorship. This saves you from applying to positions where the hiring team hasn't mapped out a visa pathway for the role.
Clarify Visa Category Early in Interviews
JPMorganChase sponsors H-1B, E-3, and H-1B1 visas depending on your nationality. Bring up your visa type and timeline in the recruiter screen, not after an offer. This avoids late-stage complications when filing deadlines are tight.
Understand PERM Timelines Before Accepting an Offer
If permanent residency sponsorship through EB-2 or EB-3 is a priority, ask explicitly during the offer stage. DOL PERM backlogs can run several years, and knowing the company's standard practice on Green Card initiation helps you plan realistically.
Align Your Start Date Around H-1B Cap Deadlines
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start. Scientist roles at JPMorganChase often have flexible start timelines, so negotiate your start date to align with the cap cycle if you miss the current year's lottery.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Scientists?
Yes, JPMorganChase sponsors H-1B visas for Scientist roles. The company has an active immigration program and works with in-house and external immigration counsel to manage H-1B petitions. If you're subject to the annual cap, you'll need to align your offer timeline with the USCIS registration window, which opens each March for an October 1 start date.
Which visa types does JPMorganChase sponsor for Scientist roles?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for Scientist positions, along with employment-based Green Cards through the EB-2 and EB-3 categories. Australian citizens can pursue the E-3 visa, which has no lottery and a simpler employer process. H-1B1 is available to nationals of Chile and Singapore. Which category applies depends on your nationality and qualifications.
What qualifications are expected for Scientist roles at JPMorganChase?
Most Scientist openings at JPMorganChase expect a graduate degree, with PhD holders preferred for research-focused positions. Strong programming skills in Python, R, or similar languages are standard requirements. Experience applying machine learning, statistical modeling, or quantitative methods to real-world problems carries more weight than academic credentials alone, particularly for applied research teams.
How do I apply for Scientist jobs at JPMorganChase?
You can browse open Scientist positions directly through JPMorganChase's careers site or find verified sponsorship-eligible listings on Migrate Mate. Tailoring your application to the specific team, whether that's AI Research, Applied Data Science, or a quant modeling group, significantly improves your chances. Referrals from internal employees also carry meaningful weight in JPMorganChase's hiring process.
How do I manage the timeline between a JPMorganChase offer and my visa filing?
Once you receive an offer, your employer files a Labor Condition Application with the DOL before the H-1B petition can be submitted to USCIS. The full process from offer to approved status can take several months depending on whether premium processing is used. Build at least 90 days of buffer between your intended start date and when you accept an offer to avoid gaps.