J.P. Morgan
Compliance - Data Scientist - Vice President
J.P. Morgan, Jersey City, New Jersey, United States, 07390
Compliance - Data Scientist - Vice President
Jersey City, NJ, United States and 1 more Job Information Job Identification: 210654151 Job Category: CCOR LOB/CF/Country Coverage Business Unit: Corporate Sector Posting Date: 08/24/2025, 03:08 PM Locations: 237 Park Ave, New York, NY, 10017, US; 480 Washington Blvd, Jersey City, NJ, 07310, US Apply Before: 09/27/2025, 01:00 AM Job Schedule: Full time Base Pay/Salary: New York, NY $147,250.00-$215,000.00; Jersey City, NJ $147,250.00-$215,000.00
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. 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 AI/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; Algorithms: Ensemble Louvain / 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 databases: TigerGraph, Neo4j Experience in query languages: Hive, Cypher (Graph Query Language) Experience in developing and operationalization of data pipelines Familiarity and experience with assimilating large amounts of data from multiple databases and utilizing them for creating actionable outcomes; 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 and computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus Postgraduate degrees such as Masters 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 worlds 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 were setting our businesses, clients, customers and employees up for success. Our Compliance teams work globally across all lines of business to advise internal stakeholders on the impact of regulatory requirements and how to balance these with the firms needs. Their diverse mandate means they also provide input on new business strategies, product lines, policies, training, operational processes, risk mitigation and control. Similar Jobs
Drive analytics workflow & development by deploying cutting edge data wrangling, analysis & visualization of macroeconomic data. AI/ML engineer responsible for building autonomous agents as part of PB Agentic Bank strategy Asset Management Investment Platform is hiring an Asset Management Investment Platform Data Scientist - Vice President in New York, NY. As a Cloud Application Developer, you will be a pivotal player in our cloud transformation journey.
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Jersey City, NJ, United States and 1 more Job Information Job Identification: 210654151 Job Category: CCOR LOB/CF/Country Coverage Business Unit: Corporate Sector Posting Date: 08/24/2025, 03:08 PM Locations: 237 Park Ave, New York, NY, 10017, US; 480 Washington Blvd, Jersey City, NJ, 07310, US Apply Before: 09/27/2025, 01:00 AM Job Schedule: Full time Base Pay/Salary: New York, NY $147,250.00-$215,000.00; Jersey City, NJ $147,250.00-$215,000.00
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. 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 AI/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; Algorithms: Ensemble Louvain / 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 databases: TigerGraph, Neo4j Experience in query languages: Hive, Cypher (Graph Query Language) Experience in developing and operationalization of data pipelines Familiarity and experience with assimilating large amounts of data from multiple databases and utilizing them for creating actionable outcomes; 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 and computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus Postgraduate degrees such as Masters 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 worlds 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 were setting our businesses, clients, customers and employees up for success. Our Compliance teams work globally across all lines of business to advise internal stakeholders on the impact of regulatory requirements and how to balance these with the firms needs. Their diverse mandate means they also provide input on new business strategies, product lines, policies, training, operational processes, risk mitigation and control. Similar Jobs
Drive analytics workflow & development by deploying cutting edge data wrangling, analysis & visualization of macroeconomic data. AI/ML engineer responsible for building autonomous agents as part of PB Agentic Bank strategy Asset Management Investment Platform is hiring an Asset Management Investment Platform Data Scientist - Vice President in New York, NY. As a Cloud Application Developer, you will be a pivotal player in our cloud transformation journey.
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