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Applied AI Lead Data Scientist - Vice President

JP Morgan Chase

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Applied AI Lead Data Scientist - Vice President

full-timePosted: Nov 18, 2025

Job Description

Applied AI Lead Data Scientist - Vice President

Location: Wilmington, DE, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging cutting-edge technology to transform the financial services landscape. As an Applied AI Lead Data Scientist - Vice President in our Predictive Science team, you will play a pivotal role in leading the design and delivery of scalable Generative AI solutions that drive innovation and tangible impact across our organization. Based in Wilmington, DE, you will spearhead initiatives that harness Generative AI to solve complex challenges in areas such as personalized banking experiences, fraud detection, and regulatory compliance, ensuring our solutions enhance client trust and operational efficiency in a highly regulated environment. In this leadership position, you will collaborate with diverse teams of engineers, analysts, and business experts to ideate, prototype, and deploy AI models that generate synthetic data for risk simulations or automate sophisticated financial reporting. Your expertise in advanced Generative AI technologies, including large language models and GANs, will be crucial in developing robust, scalable systems that integrate seamlessly with JPMorgan Chase's vast data ecosystem. You will also champion ethical AI practices, mitigating biases and ensuring adherence to global standards, while mentoring talent to build a high-performing team focused on predictive analytics and machine learning excellence. This role offers the opportunity to influence strategic decisions at one of the world's largest financial institutions, where your work directly contributes to innovation in wealth management, investment banking, and consumer services. With access to state-of-the-art resources and a collaborative culture, you will thrive in an environment that values bold ideas and measurable results, ultimately advancing JPMorgan Chase's mission to empower clients and communities worldwide through responsible AI innovation.

Key Responsibilities

  • Lead the end-to-end design, development, and deployment of scalable Generative AI solutions to enhance JPMorgan Chase's financial products and services
  • Collaborate with cross-functional teams including data engineers, product managers, and business leaders to identify AI-driven opportunities in areas like customer personalization and risk assessment
  • Drive innovation by prototyping and scaling Generative AI models, such as LLMs for automated financial advisory or synthetic data generation for compliance testing
  • Ensure AI solutions adhere to regulatory standards, data privacy laws (e.g., GDPR, CCPA), and JPMorgan Chase's ethical AI guidelines
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the Predictive Science team
  • Conduct impact assessments and performance evaluations of AI models in production, optimizing for business outcomes like cost reduction and revenue growth
  • Stay abreast of emerging AI trends and integrate them into JPMorgan Chase's strategic initiatives, such as enhancing trading algorithms or fraud prevention systems
  • Present AI strategies and results to senior leadership, influencing firm-wide decisions on technology adoption
  • Manage project timelines, budgets, and resources for AI initiatives, ensuring alignment with organizational goals

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • 8+ years of experience in data science, machine learning, or AI roles, with at least 3 years focused on Generative AI technologies
  • Proven track record of leading cross-functional teams in delivering scalable AI solutions in a financial services or regulated industry environment
  • Deep expertise in Generative AI models such as transformers, GANs, and large language models (LLMs)
  • Strong understanding of financial data, risk management, and compliance requirements in banking
  • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies for deploying AI at scale
  • Excellent communication skills to translate complex AI concepts to non-technical stakeholders in a global organization like JPMorgan Chase

Preferred Qualifications

  • Experience in financial services, particularly in areas like fraud detection, personalized banking, or market risk modeling using AI
  • Publications or contributions to open-source AI projects related to Generative AI
  • Familiarity with JPMorgan Chase's internal AI frameworks or similar enterprise AI governance
  • Certification in AI/ML from recognized bodies (e.g., Google Cloud Professional ML Engineer)
  • Background in ethical AI practices, including bias mitigation in financial applications

Required Skills

  • Proficiency in Python, R, or Julia for AI model development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers
  • Experience with Generative AI techniques including diffusion models and VAEs
  • Strong knowledge of natural language processing (NLP) and computer vision for financial applications
  • Data manipulation and analysis using SQL, Pandas, and Spark
  • Cloud computing skills in AWS SageMaker, Google AI Platform, or Azure ML
  • Version control and collaboration tools like Git and Jira
  • Statistical modeling and hypothesis testing for AI validation
  • Leadership and team management in agile environments
  • Problem-solving and critical thinking for complex financial challenges
  • Communication and presentation skills for stakeholder engagement
  • Knowledge of financial regulations and risk frameworks
  • Ethical AI development, including fairness and explainability
  • Big data processing with Hadoop or Kafka
  • Model deployment and MLOps practices

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement for advanced certifications
  • Wellness programs with gym memberships and mental health support
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

300,000 - 500,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, R, or Julia for AI model developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformersintermediate
  • Experience with Generative AI techniques including diffusion models and VAEsintermediate
  • Strong knowledge of natural language processing (NLP) and computer vision for financial applicationsintermediate
  • Data manipulation and analysis using SQL, Pandas, and Sparkintermediate
  • Cloud computing skills in AWS SageMaker, Google AI Platform, or Azure MLintermediate
  • Version control and collaboration tools like Git and Jiraintermediate
  • Statistical modeling and hypothesis testing for AI validationintermediate
  • Leadership and team management in agile environmentsintermediate
  • Problem-solving and critical thinking for complex financial challengesintermediate
  • Communication and presentation skills for stakeholder engagementintermediate
  • Knowledge of financial regulations and risk frameworksintermediate
  • Ethical AI development, including fairness and explainabilityintermediate
  • Big data processing with Hadoop or Kafkaintermediate
  • Model deployment and MLOps practicesintermediate

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 8+ years of experience in data science, machine learning, or AI roles, with at least 3 years focused on Generative AI technologies (experience)
  • Proven track record of leading cross-functional teams in delivering scalable AI solutions in a financial services or regulated industry environment (experience)
  • Deep expertise in Generative AI models such as transformers, GANs, and large language models (LLMs) (experience)
  • Strong understanding of financial data, risk management, and compliance requirements in banking (experience)
  • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies for deploying AI at scale (experience)
  • Excellent communication skills to translate complex AI concepts to non-technical stakeholders in a global organization like JPMorgan Chase (experience)

Preferred Qualifications

  • Experience in financial services, particularly in areas like fraud detection, personalized banking, or market risk modeling using AI (experience)
  • Publications or contributions to open-source AI projects related to Generative AI (experience)
  • Familiarity with JPMorgan Chase's internal AI frameworks or similar enterprise AI governance (experience)
  • Certification in AI/ML from recognized bodies (e.g., Google Cloud Professional ML Engineer) (experience)
  • Background in ethical AI practices, including bias mitigation in financial applications (experience)

Responsibilities

  • Lead the end-to-end design, development, and deployment of scalable Generative AI solutions to enhance JPMorgan Chase's financial products and services
  • Collaborate with cross-functional teams including data engineers, product managers, and business leaders to identify AI-driven opportunities in areas like customer personalization and risk assessment
  • Drive innovation by prototyping and scaling Generative AI models, such as LLMs for automated financial advisory or synthetic data generation for compliance testing
  • Ensure AI solutions adhere to regulatory standards, data privacy laws (e.g., GDPR, CCPA), and JPMorgan Chase's ethical AI guidelines
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the Predictive Science team
  • Conduct impact assessments and performance evaluations of AI models in production, optimizing for business outcomes like cost reduction and revenue growth
  • Stay abreast of emerging AI trends and integrate them into JPMorgan Chase's strategic initiatives, such as enhancing trading algorithms or fraud prevention systems
  • Present AI strategies and results to senior leadership, influencing firm-wide decisions on technology adoption
  • Manage project timelines, budgets, and resources for AI initiatives, ensuring alignment with organizational goals

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement for advanced certifications
  • general: Wellness programs with gym memberships and mental health support
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

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JP Morgan Chase logo

Applied AI Lead Data Scientist - Vice President

JP Morgan Chase

Software and Technology Jobs

Applied AI Lead Data Scientist - Vice President

full-timePosted: Nov 18, 2025

Job Description

Applied AI Lead Data Scientist - Vice President

Location: Wilmington, DE, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging cutting-edge technology to transform the financial services landscape. As an Applied AI Lead Data Scientist - Vice President in our Predictive Science team, you will play a pivotal role in leading the design and delivery of scalable Generative AI solutions that drive innovation and tangible impact across our organization. Based in Wilmington, DE, you will spearhead initiatives that harness Generative AI to solve complex challenges in areas such as personalized banking experiences, fraud detection, and regulatory compliance, ensuring our solutions enhance client trust and operational efficiency in a highly regulated environment. In this leadership position, you will collaborate with diverse teams of engineers, analysts, and business experts to ideate, prototype, and deploy AI models that generate synthetic data for risk simulations or automate sophisticated financial reporting. Your expertise in advanced Generative AI technologies, including large language models and GANs, will be crucial in developing robust, scalable systems that integrate seamlessly with JPMorgan Chase's vast data ecosystem. You will also champion ethical AI practices, mitigating biases and ensuring adherence to global standards, while mentoring talent to build a high-performing team focused on predictive analytics and machine learning excellence. This role offers the opportunity to influence strategic decisions at one of the world's largest financial institutions, where your work directly contributes to innovation in wealth management, investment banking, and consumer services. With access to state-of-the-art resources and a collaborative culture, you will thrive in an environment that values bold ideas and measurable results, ultimately advancing JPMorgan Chase's mission to empower clients and communities worldwide through responsible AI innovation.

Key Responsibilities

  • Lead the end-to-end design, development, and deployment of scalable Generative AI solutions to enhance JPMorgan Chase's financial products and services
  • Collaborate with cross-functional teams including data engineers, product managers, and business leaders to identify AI-driven opportunities in areas like customer personalization and risk assessment
  • Drive innovation by prototyping and scaling Generative AI models, such as LLMs for automated financial advisory or synthetic data generation for compliance testing
  • Ensure AI solutions adhere to regulatory standards, data privacy laws (e.g., GDPR, CCPA), and JPMorgan Chase's ethical AI guidelines
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the Predictive Science team
  • Conduct impact assessments and performance evaluations of AI models in production, optimizing for business outcomes like cost reduction and revenue growth
  • Stay abreast of emerging AI trends and integrate them into JPMorgan Chase's strategic initiatives, such as enhancing trading algorithms or fraud prevention systems
  • Present AI strategies and results to senior leadership, influencing firm-wide decisions on technology adoption
  • Manage project timelines, budgets, and resources for AI initiatives, ensuring alignment with organizational goals

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • 8+ years of experience in data science, machine learning, or AI roles, with at least 3 years focused on Generative AI technologies
  • Proven track record of leading cross-functional teams in delivering scalable AI solutions in a financial services or regulated industry environment
  • Deep expertise in Generative AI models such as transformers, GANs, and large language models (LLMs)
  • Strong understanding of financial data, risk management, and compliance requirements in banking
  • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies for deploying AI at scale
  • Excellent communication skills to translate complex AI concepts to non-technical stakeholders in a global organization like JPMorgan Chase

Preferred Qualifications

  • Experience in financial services, particularly in areas like fraud detection, personalized banking, or market risk modeling using AI
  • Publications or contributions to open-source AI projects related to Generative AI
  • Familiarity with JPMorgan Chase's internal AI frameworks or similar enterprise AI governance
  • Certification in AI/ML from recognized bodies (e.g., Google Cloud Professional ML Engineer)
  • Background in ethical AI practices, including bias mitigation in financial applications

Required Skills

  • Proficiency in Python, R, or Julia for AI model development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers
  • Experience with Generative AI techniques including diffusion models and VAEs
  • Strong knowledge of natural language processing (NLP) and computer vision for financial applications
  • Data manipulation and analysis using SQL, Pandas, and Spark
  • Cloud computing skills in AWS SageMaker, Google AI Platform, or Azure ML
  • Version control and collaboration tools like Git and Jira
  • Statistical modeling and hypothesis testing for AI validation
  • Leadership and team management in agile environments
  • Problem-solving and critical thinking for complex financial challenges
  • Communication and presentation skills for stakeholder engagement
  • Knowledge of financial regulations and risk frameworks
  • Ethical AI development, including fairness and explainability
  • Big data processing with Hadoop or Kafka
  • Model deployment and MLOps practices

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement for advanced certifications
  • Wellness programs with gym memberships and mental health support
  • Employee stock purchase plan and financial planning services
  • Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

300,000 - 500,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, R, or Julia for AI model developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformersintermediate
  • Experience with Generative AI techniques including diffusion models and VAEsintermediate
  • Strong knowledge of natural language processing (NLP) and computer vision for financial applicationsintermediate
  • Data manipulation and analysis using SQL, Pandas, and Sparkintermediate
  • Cloud computing skills in AWS SageMaker, Google AI Platform, or Azure MLintermediate
  • Version control and collaboration tools like Git and Jiraintermediate
  • Statistical modeling and hypothesis testing for AI validationintermediate
  • Leadership and team management in agile environmentsintermediate
  • Problem-solving and critical thinking for complex financial challengesintermediate
  • Communication and presentation skills for stakeholder engagementintermediate
  • Knowledge of financial regulations and risk frameworksintermediate
  • Ethical AI development, including fairness and explainabilityintermediate
  • Big data processing with Hadoop or Kafkaintermediate
  • Model deployment and MLOps practicesintermediate

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 8+ years of experience in data science, machine learning, or AI roles, with at least 3 years focused on Generative AI technologies (experience)
  • Proven track record of leading cross-functional teams in delivering scalable AI solutions in a financial services or regulated industry environment (experience)
  • Deep expertise in Generative AI models such as transformers, GANs, and large language models (LLMs) (experience)
  • Strong understanding of financial data, risk management, and compliance requirements in banking (experience)
  • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies for deploying AI at scale (experience)
  • Excellent communication skills to translate complex AI concepts to non-technical stakeholders in a global organization like JPMorgan Chase (experience)

Preferred Qualifications

  • Experience in financial services, particularly in areas like fraud detection, personalized banking, or market risk modeling using AI (experience)
  • Publications or contributions to open-source AI projects related to Generative AI (experience)
  • Familiarity with JPMorgan Chase's internal AI frameworks or similar enterprise AI governance (experience)
  • Certification in AI/ML from recognized bodies (e.g., Google Cloud Professional ML Engineer) (experience)
  • Background in ethical AI practices, including bias mitigation in financial applications (experience)

Responsibilities

  • Lead the end-to-end design, development, and deployment of scalable Generative AI solutions to enhance JPMorgan Chase's financial products and services
  • Collaborate with cross-functional teams including data engineers, product managers, and business leaders to identify AI-driven opportunities in areas like customer personalization and risk assessment
  • Drive innovation by prototyping and scaling Generative AI models, such as LLMs for automated financial advisory or synthetic data generation for compliance testing
  • Ensure AI solutions adhere to regulatory standards, data privacy laws (e.g., GDPR, CCPA), and JPMorgan Chase's ethical AI guidelines
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the Predictive Science team
  • Conduct impact assessments and performance evaluations of AI models in production, optimizing for business outcomes like cost reduction and revenue growth
  • Stay abreast of emerging AI trends and integrate them into JPMorgan Chase's strategic initiatives, such as enhancing trading algorithms or fraud prevention systems
  • Present AI strategies and results to senior leadership, influencing firm-wide decisions on technology adoption
  • Manage project timelines, budgets, and resources for AI initiatives, ensuring alignment with organizational goals

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement for advanced certifications
  • general: Wellness programs with gym memberships and mental health support
  • general: Employee stock purchase plan and financial planning services
  • general: Flexible work arrangements, including hybrid options in Wilmington, DE

Target Your Resume for "Applied AI Lead Data Scientist - Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Applied AI Lead Data Scientist - Vice President. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Applied AI Lead Data Scientist - Vice President" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Applied AI Lead Data Scientist - Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.