Machine Learning Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase builds machine learning systems across risk modeling, fraud detection, trading infrastructure, and consumer products, and the firm has a consistent track record of sponsoring work visas for qualified ML engineers and researchers. If you're targeting a role here, you're looking at one of the most active financial services sponsors in this space.
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Get Access To All JobsJOB DESCRIPTION
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 Data Scientist Vice President within the Compliance, Conduct Operational Risk (CCOR) Data Analytics team, you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/Gen AI/ ML techniques, algorithms and other statistical and numerical methods. You will need to be able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.
Job Responsibilities
- Analyze complex/unstructured data to understand the business problem and use case
- Analyze business requirements, design, and develop appropriate methodology
- Develop deployable, scalable and effective models/analytical methods as part of technology managed system or as a self-served application of a business user
- Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
- Prepare technical documentation of quantitative models for internal model risk and governance review
Required qualifications, capabilities, and skills
- 6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.
- Demonstrable theoretical and application knowledge of AL/ML, Gen AI and Statistical Models
- Demonstrable hands-on experience with Transformer or other deep learning architectures in real applications
- Demonstrable hands-on experience with using or fine tuning multimodal LLM in real business applications with scale and performance
- Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages: (NetworkX, Torch-Geometric, Graphframes, Graphistry), ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)
- Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization
- Experience in graph Database: TigerGraph, Neo4j
- Experience in Query Language: Hive, Cypher (Graph Query Language)
- Experience in developing and operationalization of data pipelines
- Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and documenting quantitative analysis
- Experience with processes, controls and governance of a highly regulated environment; Self-starter and strong influencing skills with strong communication skills
Preferred qualifications, capabilities, and skills
- Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus
- Post graduate degrees such as Master’s Degree, PhD, etc. is preferred
- Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.
- Working knowledge of C/C#/C++ or others is a plus
- Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering & Know Your Customer, Trade Surveillance model development
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.
JOB DESCRIPTION
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 Data Scientist Vice President within the Compliance, Conduct Operational Risk (CCOR) Data Analytics team, you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/Gen AI/ ML techniques, algorithms and other statistical and numerical methods. You will need to be able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.
Job Responsibilities
- Analyze complex/unstructured data to understand the business problem and use case
- Analyze business requirements, design, and develop appropriate methodology
- Develop deployable, scalable and effective models/analytical methods as part of technology managed system or as a self-served application of a business user
- Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
- Prepare technical documentation of quantitative models for internal model risk and governance review
Required qualifications, capabilities, and skills
- 6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.
- Demonstrable theoretical and application knowledge of AL/ML, Gen AI and Statistical Models
- Demonstrable hands-on experience with Transformer or other deep learning architectures in real applications
- Demonstrable hands-on experience with using or fine tuning multimodal LLM in real business applications with scale and performance
- Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages: (NetworkX, Torch-Geometric, Graphframes, Graphistry), ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)
- Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization
- Experience in graph Database: TigerGraph, Neo4j
- Experience in Query Language: Hive, Cypher (Graph Query Language)
- Experience in developing and operationalization of data pipelines
- Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and documenting quantitative analysis
- Experience with processes, controls and governance of a highly regulated environment; Self-starter and strong influencing skills with strong communication skills
Preferred qualifications, capabilities, and skills
- Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus
- Post graduate degrees such as Master’s Degree, PhD, etc. is preferred
- Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.
- Working knowledge of C/C#/C++ or others is a plus
- Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering & Know Your Customer, Trade Surveillance model development
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.
See all 98+ Machine Learning at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning at JPMorganChase roles.
Get Access To All JobsTips for Finding Machine Learning Jobs at JPMorganChase Jobs
Align your ML portfolio to financial risk use cases
JPMorganChase's ML hiring clusters around credit risk models, fraud detection, and algorithmic trading. Framing your portfolio projects around time-series forecasting, anomaly detection, or NLP on financial documents directly maps to what their teams are building.
Target teams with established PERM infrastructure
In financial services firms this size, ML roles within the commercial banking and consumer technology divisions have historically run PERM-based Green Card sponsorship. Asking recruiters whether a specific team has a track record of PERM filings is a legitimate and practical screening question.
Find open ML roles at JPMorganChase using Migrate Mate
Search for JPMorganChase ML positions on Migrate Mate to filter specifically for roles tied to visa sponsorship. This saves time you'd otherwise spend manually screening job listings with no sponsorship signal.
Time your H-1B application to the April cap season
If you need a cap-subject H-1B, your start date will be October 1 at the earliest. Factor this into your offer negotiation, since large financial institutions like JPMorganChase are familiar with this cycle and routinely structure start dates and onboarding around it.
Get your credentials evaluated before the offer stage
JPMorganChase's ML roles often require a master's or doctorate in a quantitative field. If your degree is from outside the U.S., a credential evaluation from a NACES-member organization confirms equivalency to USCIS standards before the petition is filed, avoiding delays after the offer.
Machine Learning at JPMorganChase jobs are hiring across the US. Find yours.
Find Machine Learning at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Machine Learning roles?
Yes, JPMorganChase sponsors H-1B visas for machine learning positions. As a large financial services employer, the firm has the legal and HR infrastructure to handle H-1B petitions, including premium processing where needed. If you're subject to the H-1B cap, petitions are filed in April for an October 1 start date, so plan your job search timeline accordingly.
Which visa types does JPMorganChase sponsor for Machine Learning positions?
JPMorganChase sponsors H-1B, H-1B1, and E-3 visas for machine learning roles, and supports employment-based Green Card sponsorship through the EB-2 and EB-3 categories via the PERM labor certification process. Australians can use the E-3, which has no lottery. Singaporean and Chilean nationals may qualify for the H-1B1, which is also cap-exempt and processed outside the annual lottery.
What qualifications does JPMorganChase expect for Machine Learning roles?
Most machine learning positions at JPMorganChase require a master's or doctoral degree in computer science, statistics, applied mathematics, or a related quantitative field, along with hands-on experience in Python, PyTorch or TensorFlow, and large-scale data pipelines. Roles in trading or risk typically expect familiarity with financial time-series data, while consumer-facing ML teams often prioritize NLP and recommendation systems experience.
How do I apply for Machine Learning jobs at JPMorganChase?
Browse current machine learning openings at JPMorganChase on Migrate Mate, where listings are filtered for visa sponsorship eligibility. Apply directly through JPMorganChase's careers portal and tailor your resume to the specific team's domain. For ML roles, technical screens typically include a coding assessment followed by system design and ML fundamentals interviews before reaching the offer stage.
How do I understand the sponsorship timeline for a Machine Learning role at JPMorganChase?
Timeline depends on your visa type. E-3 and H-1B1 applicants can often begin work within four to eight weeks of an offer, since those visas are processed at U.S. consulates without a cap. Cap-subject H-1B applicants must wait for the April registration window and an October 1 start date. For Green Card sponsorship via PERM, DOL processing adds one to two years before an I-140 is filed.
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