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Applied AI/ML - Vice President

JP Morgan Chase

Software and Technology Jobs

Applied AI/ML - Vice President

full-timePosted: Oct 23, 2025

Job Description

Applied AI/ML - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform financial services, and we're seeking a talented Applied AI/ML Vice President to join our Predictive Science team in New York, NY. As a Machine Learning Scientist with a focus on NLP and deep learning, you will play a pivotal role in developing innovative solutions that drive data-informed decisions across our global banking operations. This position offers the opportunity to work on high-impact projects such as analyzing market sentiments from financial news, enhancing fraud detection through text-based anomaly identification, and building predictive models for risk assessment in investment banking. With access to vast datasets and cutting-edge computational resources, you'll contribute to JP Morgan's mission of delivering superior client experiences while navigating the complexities of regulatory compliance in the financial sector. In this role, you will lead the end-to-end development of AI/ML models, from ideation and prototyping to deployment and monitoring in production environments. Collaborating with multidisciplinary teams, including quants, data engineers, and business leaders, you will apply your expertise in deep learning frameworks to process unstructured financial data and extract meaningful insights. Your work will directly influence key areas like asset management, trading strategies, and customer advisory services, ensuring that JP Morgan remains a leader in AI-driven financial innovation. We value professionals who thrive in a fast-paced, collaborative setting and are passionate about pushing the boundaries of what's possible with predictive science. JP Morgan Chase is committed to fostering an inclusive culture where diverse perspectives fuel our success. As a Vice President in Applied AI/ML, you'll benefit from robust professional growth opportunities, including mentorship from industry experts and exposure to executive leadership. If you have a strong foundation in NLP, hands-on experience with deep learning implementations, and a keen interest in applying these skills to the dynamic world of finance, we encourage you to bring your expertise to our team and help shape the future of banking.

Key Responsibilities

  • Design, develop, and deploy advanced NLP and deep learning models to solve complex problems in predictive science for JP Morgan Chase's financial services
  • Conduct research and experimentation on cutting-edge AI techniques to enhance fraud detection, customer sentiment analysis, and market prediction capabilities
  • Collaborate with data scientists and engineers to build scalable ML pipelines that process vast amounts of financial data securely and efficiently
  • Evaluate and optimize model performance using metrics relevant to financial applications, ensuring robustness and interpretability
  • Integrate AI/ML solutions into JP Morgan's trading, risk management, and client advisory platforms
  • Stay abreast of emerging trends in AI/ML and financial regulations to recommend innovative approaches for the firm
  • Mentor junior team members and contribute to the firm's AI strategy in the context of global banking operations
  • Analyze unstructured data from sources like news feeds, transaction logs, and customer communications to derive actionable insights
  • Ensure all models adhere to JP Morgan's ethical AI guidelines and data privacy standards
  • Present findings and model outcomes to senior stakeholders to drive business decisions in investment banking and asset management

Required Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field
  • 5+ years of hands-on experience in developing and deploying machine learning models, with a strong emphasis on NLP and Deep Learning
  • Proven track record of implementing NLP solutions in production environments, particularly in financial services or high-stakes data applications
  • Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
  • Strong programming skills in Python, with experience in data processing libraries like Pandas, NumPy, and Scikit-learn
  • Experience with large-scale data processing and model deployment in cloud environments (e.g., AWS, Azure)
  • Ability to collaborate with cross-functional teams including data engineers, product managers, and domain experts in finance

Preferred Qualifications

  • Experience in financial domain applications of AI/ML, such as fraud detection, sentiment analysis of market news, or risk modeling
  • Publications or contributions to open-source projects in NLP or deep learning
  • Familiarity with regulatory compliance in financial services (e.g., GDPR, SEC guidelines) for AI model deployment
  • Advanced knowledge of generative AI models like GPT or BERT variants applied to financial text data
  • Prior experience at a major financial institution or tech firm in predictive analytics roles

Required Skills

  • Natural Language Processing (NLP)
  • Deep Learning
  • Machine Learning Model Development
  • Python Programming
  • TensorFlow or PyTorch
  • Hugging Face Transformers
  • Data Analysis and Visualization
  • Cloud Computing (AWS/Azure)
  • SQL and Database Management
  • Statistical Modeling
  • Problem-Solving
  • Cross-Functional Collaboration
  • Financial Domain Knowledge
  • Model Deployment and MLOps
  • Ethical AI and Bias Mitigation

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JP Morgan's financial performance
  • Comprehensive health, dental, and vision insurance plans with employer contributions
  • 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • Paid time off including vacation, sick days, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to firm-wide wellness programs
  • Relocation assistance for moves to New York, NY, and flexible hybrid work arrangements
  • Access to on-site fitness centers, childcare services, and employee assistance programs at JP Morgan facilities

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 750,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Natural Language Processing (NLP)intermediate
  • Deep Learningintermediate
  • Machine Learning Model Developmentintermediate
  • Python Programmingintermediate
  • TensorFlow or PyTorchintermediate
  • Hugging Face Transformersintermediate
  • Data Analysis and Visualizationintermediate
  • Cloud Computing (AWS/Azure)intermediate
  • SQL and Database Managementintermediate
  • Statistical Modelingintermediate
  • Problem-Solvingintermediate
  • Cross-Functional Collaborationintermediate
  • Financial Domain Knowledgeintermediate
  • Model Deployment and MLOpsintermediate
  • Ethical AI and Bias Mitigationintermediate

Required Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field (experience)
  • 5+ years of hands-on experience in developing and deploying machine learning models, with a strong emphasis on NLP and Deep Learning (experience)
  • Proven track record of implementing NLP solutions in production environments, particularly in financial services or high-stakes data applications (experience)
  • Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers (experience)
  • Strong programming skills in Python, with experience in data processing libraries like Pandas, NumPy, and Scikit-learn (experience)
  • Experience with large-scale data processing and model deployment in cloud environments (e.g., AWS, Azure) (experience)
  • Ability to collaborate with cross-functional teams including data engineers, product managers, and domain experts in finance (experience)

Preferred Qualifications

  • Experience in financial domain applications of AI/ML, such as fraud detection, sentiment analysis of market news, or risk modeling (experience)
  • Publications or contributions to open-source projects in NLP or deep learning (experience)
  • Familiarity with regulatory compliance in financial services (e.g., GDPR, SEC guidelines) for AI model deployment (experience)
  • Advanced knowledge of generative AI models like GPT or BERT variants applied to financial text data (experience)
  • Prior experience at a major financial institution or tech firm in predictive analytics roles (experience)

Responsibilities

  • Design, develop, and deploy advanced NLP and deep learning models to solve complex problems in predictive science for JP Morgan Chase's financial services
  • Conduct research and experimentation on cutting-edge AI techniques to enhance fraud detection, customer sentiment analysis, and market prediction capabilities
  • Collaborate with data scientists and engineers to build scalable ML pipelines that process vast amounts of financial data securely and efficiently
  • Evaluate and optimize model performance using metrics relevant to financial applications, ensuring robustness and interpretability
  • Integrate AI/ML solutions into JP Morgan's trading, risk management, and client advisory platforms
  • Stay abreast of emerging trends in AI/ML and financial regulations to recommend innovative approaches for the firm
  • Mentor junior team members and contribute to the firm's AI strategy in the context of global banking operations
  • Analyze unstructured data from sources like news feeds, transaction logs, and customer communications to derive actionable insights
  • Ensure all models adhere to JP Morgan's ethical AI guidelines and data privacy standards
  • Present findings and model outcomes to senior stakeholders to drive business decisions in investment banking and asset management

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JP Morgan's financial performance
  • general: Comprehensive health, dental, and vision insurance plans with employer contributions
  • general: 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • general: Paid time off including vacation, sick days, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to firm-wide wellness programs
  • general: Relocation assistance for moves to New York, NY, and flexible hybrid work arrangements
  • general: Access to on-site fitness centers, childcare services, and employee assistance programs at JP Morgan facilities

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JP Morgan Chase logo

Applied AI/ML - Vice President

JP Morgan Chase

Software and Technology Jobs

Applied AI/ML - Vice President

full-timePosted: Oct 23, 2025

Job Description

Applied AI/ML - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform financial services, and we're seeking a talented Applied AI/ML Vice President to join our Predictive Science team in New York, NY. As a Machine Learning Scientist with a focus on NLP and deep learning, you will play a pivotal role in developing innovative solutions that drive data-informed decisions across our global banking operations. This position offers the opportunity to work on high-impact projects such as analyzing market sentiments from financial news, enhancing fraud detection through text-based anomaly identification, and building predictive models for risk assessment in investment banking. With access to vast datasets and cutting-edge computational resources, you'll contribute to JP Morgan's mission of delivering superior client experiences while navigating the complexities of regulatory compliance in the financial sector. In this role, you will lead the end-to-end development of AI/ML models, from ideation and prototyping to deployment and monitoring in production environments. Collaborating with multidisciplinary teams, including quants, data engineers, and business leaders, you will apply your expertise in deep learning frameworks to process unstructured financial data and extract meaningful insights. Your work will directly influence key areas like asset management, trading strategies, and customer advisory services, ensuring that JP Morgan remains a leader in AI-driven financial innovation. We value professionals who thrive in a fast-paced, collaborative setting and are passionate about pushing the boundaries of what's possible with predictive science. JP Morgan Chase is committed to fostering an inclusive culture where diverse perspectives fuel our success. As a Vice President in Applied AI/ML, you'll benefit from robust professional growth opportunities, including mentorship from industry experts and exposure to executive leadership. If you have a strong foundation in NLP, hands-on experience with deep learning implementations, and a keen interest in applying these skills to the dynamic world of finance, we encourage you to bring your expertise to our team and help shape the future of banking.

Key Responsibilities

  • Design, develop, and deploy advanced NLP and deep learning models to solve complex problems in predictive science for JP Morgan Chase's financial services
  • Conduct research and experimentation on cutting-edge AI techniques to enhance fraud detection, customer sentiment analysis, and market prediction capabilities
  • Collaborate with data scientists and engineers to build scalable ML pipelines that process vast amounts of financial data securely and efficiently
  • Evaluate and optimize model performance using metrics relevant to financial applications, ensuring robustness and interpretability
  • Integrate AI/ML solutions into JP Morgan's trading, risk management, and client advisory platforms
  • Stay abreast of emerging trends in AI/ML and financial regulations to recommend innovative approaches for the firm
  • Mentor junior team members and contribute to the firm's AI strategy in the context of global banking operations
  • Analyze unstructured data from sources like news feeds, transaction logs, and customer communications to derive actionable insights
  • Ensure all models adhere to JP Morgan's ethical AI guidelines and data privacy standards
  • Present findings and model outcomes to senior stakeholders to drive business decisions in investment banking and asset management

Required Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field
  • 5+ years of hands-on experience in developing and deploying machine learning models, with a strong emphasis on NLP and Deep Learning
  • Proven track record of implementing NLP solutions in production environments, particularly in financial services or high-stakes data applications
  • Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
  • Strong programming skills in Python, with experience in data processing libraries like Pandas, NumPy, and Scikit-learn
  • Experience with large-scale data processing and model deployment in cloud environments (e.g., AWS, Azure)
  • Ability to collaborate with cross-functional teams including data engineers, product managers, and domain experts in finance

Preferred Qualifications

  • Experience in financial domain applications of AI/ML, such as fraud detection, sentiment analysis of market news, or risk modeling
  • Publications or contributions to open-source projects in NLP or deep learning
  • Familiarity with regulatory compliance in financial services (e.g., GDPR, SEC guidelines) for AI model deployment
  • Advanced knowledge of generative AI models like GPT or BERT variants applied to financial text data
  • Prior experience at a major financial institution or tech firm in predictive analytics roles

Required Skills

  • Natural Language Processing (NLP)
  • Deep Learning
  • Machine Learning Model Development
  • Python Programming
  • TensorFlow or PyTorch
  • Hugging Face Transformers
  • Data Analysis and Visualization
  • Cloud Computing (AWS/Azure)
  • SQL and Database Management
  • Statistical Modeling
  • Problem-Solving
  • Cross-Functional Collaboration
  • Financial Domain Knowledge
  • Model Deployment and MLOps
  • Ethical AI and Bias Mitigation

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JP Morgan's financial performance
  • Comprehensive health, dental, and vision insurance plans with employer contributions
  • 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • Paid time off including vacation, sick days, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to firm-wide wellness programs
  • Relocation assistance for moves to New York, NY, and flexible hybrid work arrangements
  • Access to on-site fitness centers, childcare services, and employee assistance programs at JP Morgan facilities

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 750,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Natural Language Processing (NLP)intermediate
  • Deep Learningintermediate
  • Machine Learning Model Developmentintermediate
  • Python Programmingintermediate
  • TensorFlow or PyTorchintermediate
  • Hugging Face Transformersintermediate
  • Data Analysis and Visualizationintermediate
  • Cloud Computing (AWS/Azure)intermediate
  • SQL and Database Managementintermediate
  • Statistical Modelingintermediate
  • Problem-Solvingintermediate
  • Cross-Functional Collaborationintermediate
  • Financial Domain Knowledgeintermediate
  • Model Deployment and MLOpsintermediate
  • Ethical AI and Bias Mitigationintermediate

Required Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field (experience)
  • 5+ years of hands-on experience in developing and deploying machine learning models, with a strong emphasis on NLP and Deep Learning (experience)
  • Proven track record of implementing NLP solutions in production environments, particularly in financial services or high-stakes data applications (experience)
  • Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers (experience)
  • Strong programming skills in Python, with experience in data processing libraries like Pandas, NumPy, and Scikit-learn (experience)
  • Experience with large-scale data processing and model deployment in cloud environments (e.g., AWS, Azure) (experience)
  • Ability to collaborate with cross-functional teams including data engineers, product managers, and domain experts in finance (experience)

Preferred Qualifications

  • Experience in financial domain applications of AI/ML, such as fraud detection, sentiment analysis of market news, or risk modeling (experience)
  • Publications or contributions to open-source projects in NLP or deep learning (experience)
  • Familiarity with regulatory compliance in financial services (e.g., GDPR, SEC guidelines) for AI model deployment (experience)
  • Advanced knowledge of generative AI models like GPT or BERT variants applied to financial text data (experience)
  • Prior experience at a major financial institution or tech firm in predictive analytics roles (experience)

Responsibilities

  • Design, develop, and deploy advanced NLP and deep learning models to solve complex problems in predictive science for JP Morgan Chase's financial services
  • Conduct research and experimentation on cutting-edge AI techniques to enhance fraud detection, customer sentiment analysis, and market prediction capabilities
  • Collaborate with data scientists and engineers to build scalable ML pipelines that process vast amounts of financial data securely and efficiently
  • Evaluate and optimize model performance using metrics relevant to financial applications, ensuring robustness and interpretability
  • Integrate AI/ML solutions into JP Morgan's trading, risk management, and client advisory platforms
  • Stay abreast of emerging trends in AI/ML and financial regulations to recommend innovative approaches for the firm
  • Mentor junior team members and contribute to the firm's AI strategy in the context of global banking operations
  • Analyze unstructured data from sources like news feeds, transaction logs, and customer communications to derive actionable insights
  • Ensure all models adhere to JP Morgan's ethical AI guidelines and data privacy standards
  • Present findings and model outcomes to senior stakeholders to drive business decisions in investment banking and asset management

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JP Morgan's financial performance
  • general: Comprehensive health, dental, and vision insurance plans with employer contributions
  • general: 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • general: Paid time off including vacation, sick days, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to firm-wide wellness programs
  • general: Relocation assistance for moves to New York, NY, and flexible hybrid work arrangements
  • general: Access to on-site fitness centers, childcare services, and employee assistance programs at JP Morgan facilities

Target Your Resume for "Applied AI/ML - Vice President" , JP Morgan Chase

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

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

Check Your ATS Score for "Applied AI/ML - 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/ML - Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.