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Applied AI/ML - Vice President

JP Morgan Chase

Software and Technology Jobs

Applied AI/ML - Vice President

full-timePosted: Oct 10, 2025

Job Description

Applied AI/ML - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through cutting-edge technology and innovation. As an Applied AI/ML Vice President in our Predictive Science team, you will play a pivotal role in leveraging artificial intelligence and machine learning to drive strategic decisions, enhance risk management, and deliver personalized client experiences. Based in our state-of-the-art New York office, you will contribute to initiatives that power everything from fraud detection algorithms to predictive analytics for global markets, helping us maintain our position as a leader in banking and financial services. This role offers the opportunity to work on high-impact projects that directly influence the firm's $3.7 trillion asset base and serve millions of clients worldwide. In this position, you will lead the development and deployment of sophisticated AI/ML models tailored to the unique challenges of the financial sector, such as volatile market predictions and regulatory-compliant data processing. You will collaborate closely with data scientists, engineers, and business leaders to integrate these models into JPMorgan's robust technological infrastructure, ensuring they scale efficiently across our global operations. Responsibilities include end-to-end model lifecycle management—from data ingestion and feature engineering using vast financial datasets to real-time monitoring and optimization—while upholding the highest standards of accuracy, security, and ethical AI practices. Your work will directly contribute to reducing operational risks, optimizing investment strategies, and fostering innovation in areas like algorithmic trading and customer insights. We seek a visionary professional passionate about applying AI to real-world financial problems, with a strong foundation in quantitative methods and a proven ability to thrive in a dynamic, collaborative environment. Joining JPMorgan Chase means becoming part of a culture that values diversity, continuous learning, and bold ideas, supported by world-class resources and mentorship opportunities. If you are ready to shape the future of finance through applied AI/ML, this Vice President role offers unparalleled growth and impact in one of the most influential firms in the industry.

Key Responsibilities

  • Develop and deploy advanced AI/ML models to solve complex business problems in areas such as credit risk assessment, market prediction, and customer personalization at JPMorgan Chase
  • Collaborate with cross-functional teams to integrate ML solutions into core banking platforms, ensuring scalability and performance in high-volume financial transactions
  • Conduct data exploration, feature engineering, and model validation using large-scale financial datasets while adhering to data privacy and regulatory standards
  • Lead the evaluation and optimization of ML algorithms, incorporating techniques like ensemble methods, deep learning, and time-series forecasting tailored to market dynamics
  • Monitor and maintain deployed models in production, troubleshooting issues and iterating based on real-world performance metrics in the financial services ecosystem
  • Partner with business units to translate financial challenges into AI-driven opportunities, providing insights that drive revenue growth and risk mitigation
  • Stay abreast of emerging AI/ML trends and technologies, applying them innovatively to enhance JPMorgan's competitive edge in global banking
  • Contribute to the firm's AI governance framework, ensuring ethical AI practices and bias mitigation in model development
  • Mentor junior team members and foster a culture of innovation within the Predictive Science group

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 5+ years of professional experience in applied AI/ML, with a focus on developing and deploying machine learning models in a production environment
  • Proven track record of working in the financial services industry, particularly in areas like risk management, fraud detection, or algorithmic trading
  • Strong proficiency in Python, R, or similar programming languages for data analysis and model implementation
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with scalable ML frameworks
  • Demonstrated ability to collaborate with cross-functional teams including data engineers, software developers, and business stakeholders
  • Excellent problem-solving skills and the ability to handle complex, ambiguous problems in a fast-paced environment

Preferred Qualifications

  • PhD in a quantitative discipline with research publications in AI/ML relevant to finance
  • Experience with JPMorgan Chase's internal tools or similar enterprise environments in banking
  • Knowledge of regulatory compliance in financial AI applications, such as GDPR, CCPA, or SEC guidelines
  • Prior leadership experience mentoring junior data scientists or leading small ML projects
  • Familiarity with reinforcement learning or generative AI techniques applied to financial datasets

Required Skills

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Deep Learning and Neural Networks
  • Time-series analysis and forecasting
  • Big Data technologies (Hadoop, Spark, SQL)
  • Python and R programming
  • Statistical modeling and inference
  • Cloud computing (AWS, Azure)
  • Data visualization (Tableau, Matplotlib)
  • Financial modeling and risk assessment
  • Agile methodologies and DevOps practices
  • Cross-functional collaboration
  • Problem-solving and analytical thinking
  • Communication and stakeholder management
  • Ethical AI and bias detection
  • Version control (Git) and CI/CD pipelines

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with financial industry standards
  • 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 JPMorgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • Relocation assistance for eligible candidates moving to New York, NY

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

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
  • Deep Learning and Neural Networksintermediate
  • Time-series analysis and forecastingintermediate
  • Big Data technologies (Hadoop, Spark, SQL)intermediate
  • Python and R programmingintermediate
  • Statistical modeling and inferenceintermediate
  • Cloud computing (AWS, Azure)intermediate
  • Data visualization (Tableau, Matplotlib)intermediate
  • Financial modeling and risk assessmentintermediate
  • Agile methodologies and DevOps practicesintermediate
  • Cross-functional collaborationintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and stakeholder managementintermediate
  • Ethical AI and bias detectionintermediate
  • Version control (Git) and CI/CD pipelinesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 5+ years of professional experience in applied AI/ML, with a focus on developing and deploying machine learning models in a production environment (experience)
  • Proven track record of working in the financial services industry, particularly in areas like risk management, fraud detection, or algorithmic trading (experience)
  • Strong proficiency in Python, R, or similar programming languages for data analysis and model implementation (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with scalable ML frameworks (experience)
  • Demonstrated ability to collaborate with cross-functional teams including data engineers, software developers, and business stakeholders (experience)
  • Excellent problem-solving skills and the ability to handle complex, ambiguous problems in a fast-paced environment (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with research publications in AI/ML relevant to finance (experience)
  • Experience with JPMorgan Chase's internal tools or similar enterprise environments in banking (experience)
  • Knowledge of regulatory compliance in financial AI applications, such as GDPR, CCPA, or SEC guidelines (experience)
  • Prior leadership experience mentoring junior data scientists or leading small ML projects (experience)
  • Familiarity with reinforcement learning or generative AI techniques applied to financial datasets (experience)

Responsibilities

  • Develop and deploy advanced AI/ML models to solve complex business problems in areas such as credit risk assessment, market prediction, and customer personalization at JPMorgan Chase
  • Collaborate with cross-functional teams to integrate ML solutions into core banking platforms, ensuring scalability and performance in high-volume financial transactions
  • Conduct data exploration, feature engineering, and model validation using large-scale financial datasets while adhering to data privacy and regulatory standards
  • Lead the evaluation and optimization of ML algorithms, incorporating techniques like ensemble methods, deep learning, and time-series forecasting tailored to market dynamics
  • Monitor and maintain deployed models in production, troubleshooting issues and iterating based on real-world performance metrics in the financial services ecosystem
  • Partner with business units to translate financial challenges into AI-driven opportunities, providing insights that drive revenue growth and risk mitigation
  • Stay abreast of emerging AI/ML trends and technologies, applying them innovatively to enhance JPMorgan's competitive edge in global banking
  • Contribute to the firm's AI governance framework, ensuring ethical AI practices and bias mitigation in model development
  • Mentor junior team members and foster a culture of innovation within the Predictive Science group

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with financial industry standards
  • 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 JPMorgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • general: Relocation assistance for eligible candidates moving to New York, NY

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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 10, 2025

Job Description

Applied AI/ML - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through cutting-edge technology and innovation. As an Applied AI/ML Vice President in our Predictive Science team, you will play a pivotal role in leveraging artificial intelligence and machine learning to drive strategic decisions, enhance risk management, and deliver personalized client experiences. Based in our state-of-the-art New York office, you will contribute to initiatives that power everything from fraud detection algorithms to predictive analytics for global markets, helping us maintain our position as a leader in banking and financial services. This role offers the opportunity to work on high-impact projects that directly influence the firm's $3.7 trillion asset base and serve millions of clients worldwide. In this position, you will lead the development and deployment of sophisticated AI/ML models tailored to the unique challenges of the financial sector, such as volatile market predictions and regulatory-compliant data processing. You will collaborate closely with data scientists, engineers, and business leaders to integrate these models into JPMorgan's robust technological infrastructure, ensuring they scale efficiently across our global operations. Responsibilities include end-to-end model lifecycle management—from data ingestion and feature engineering using vast financial datasets to real-time monitoring and optimization—while upholding the highest standards of accuracy, security, and ethical AI practices. Your work will directly contribute to reducing operational risks, optimizing investment strategies, and fostering innovation in areas like algorithmic trading and customer insights. We seek a visionary professional passionate about applying AI to real-world financial problems, with a strong foundation in quantitative methods and a proven ability to thrive in a dynamic, collaborative environment. Joining JPMorgan Chase means becoming part of a culture that values diversity, continuous learning, and bold ideas, supported by world-class resources and mentorship opportunities. If you are ready to shape the future of finance through applied AI/ML, this Vice President role offers unparalleled growth and impact in one of the most influential firms in the industry.

Key Responsibilities

  • Develop and deploy advanced AI/ML models to solve complex business problems in areas such as credit risk assessment, market prediction, and customer personalization at JPMorgan Chase
  • Collaborate with cross-functional teams to integrate ML solutions into core banking platforms, ensuring scalability and performance in high-volume financial transactions
  • Conduct data exploration, feature engineering, and model validation using large-scale financial datasets while adhering to data privacy and regulatory standards
  • Lead the evaluation and optimization of ML algorithms, incorporating techniques like ensemble methods, deep learning, and time-series forecasting tailored to market dynamics
  • Monitor and maintain deployed models in production, troubleshooting issues and iterating based on real-world performance metrics in the financial services ecosystem
  • Partner with business units to translate financial challenges into AI-driven opportunities, providing insights that drive revenue growth and risk mitigation
  • Stay abreast of emerging AI/ML trends and technologies, applying them innovatively to enhance JPMorgan's competitive edge in global banking
  • Contribute to the firm's AI governance framework, ensuring ethical AI practices and bias mitigation in model development
  • Mentor junior team members and foster a culture of innovation within the Predictive Science group

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 5+ years of professional experience in applied AI/ML, with a focus on developing and deploying machine learning models in a production environment
  • Proven track record of working in the financial services industry, particularly in areas like risk management, fraud detection, or algorithmic trading
  • Strong proficiency in Python, R, or similar programming languages for data analysis and model implementation
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with scalable ML frameworks
  • Demonstrated ability to collaborate with cross-functional teams including data engineers, software developers, and business stakeholders
  • Excellent problem-solving skills and the ability to handle complex, ambiguous problems in a fast-paced environment

Preferred Qualifications

  • PhD in a quantitative discipline with research publications in AI/ML relevant to finance
  • Experience with JPMorgan Chase's internal tools or similar enterprise environments in banking
  • Knowledge of regulatory compliance in financial AI applications, such as GDPR, CCPA, or SEC guidelines
  • Prior leadership experience mentoring junior data scientists or leading small ML projects
  • Familiarity with reinforcement learning or generative AI techniques applied to financial datasets

Required Skills

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Deep Learning and Neural Networks
  • Time-series analysis and forecasting
  • Big Data technologies (Hadoop, Spark, SQL)
  • Python and R programming
  • Statistical modeling and inference
  • Cloud computing (AWS, Azure)
  • Data visualization (Tableau, Matplotlib)
  • Financial modeling and risk assessment
  • Agile methodologies and DevOps practices
  • Cross-functional collaboration
  • Problem-solving and analytical thinking
  • Communication and stakeholder management
  • Ethical AI and bias detection
  • Version control (Git) and CI/CD pipelines

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with financial industry standards
  • 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 JPMorgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • Relocation assistance for eligible candidates moving to New York, NY

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

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
  • Deep Learning and Neural Networksintermediate
  • Time-series analysis and forecastingintermediate
  • Big Data technologies (Hadoop, Spark, SQL)intermediate
  • Python and R programmingintermediate
  • Statistical modeling and inferenceintermediate
  • Cloud computing (AWS, Azure)intermediate
  • Data visualization (Tableau, Matplotlib)intermediate
  • Financial modeling and risk assessmentintermediate
  • Agile methodologies and DevOps practicesintermediate
  • Cross-functional collaborationintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and stakeholder managementintermediate
  • Ethical AI and bias detectionintermediate
  • Version control (Git) and CI/CD pipelinesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 5+ years of professional experience in applied AI/ML, with a focus on developing and deploying machine learning models in a production environment (experience)
  • Proven track record of working in the financial services industry, particularly in areas like risk management, fraud detection, or algorithmic trading (experience)
  • Strong proficiency in Python, R, or similar programming languages for data analysis and model implementation (experience)
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with scalable ML frameworks (experience)
  • Demonstrated ability to collaborate with cross-functional teams including data engineers, software developers, and business stakeholders (experience)
  • Excellent problem-solving skills and the ability to handle complex, ambiguous problems in a fast-paced environment (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with research publications in AI/ML relevant to finance (experience)
  • Experience with JPMorgan Chase's internal tools or similar enterprise environments in banking (experience)
  • Knowledge of regulatory compliance in financial AI applications, such as GDPR, CCPA, or SEC guidelines (experience)
  • Prior leadership experience mentoring junior data scientists or leading small ML projects (experience)
  • Familiarity with reinforcement learning or generative AI techniques applied to financial datasets (experience)

Responsibilities

  • Develop and deploy advanced AI/ML models to solve complex business problems in areas such as credit risk assessment, market prediction, and customer personalization at JPMorgan Chase
  • Collaborate with cross-functional teams to integrate ML solutions into core banking platforms, ensuring scalability and performance in high-volume financial transactions
  • Conduct data exploration, feature engineering, and model validation using large-scale financial datasets while adhering to data privacy and regulatory standards
  • Lead the evaluation and optimization of ML algorithms, incorporating techniques like ensemble methods, deep learning, and time-series forecasting tailored to market dynamics
  • Monitor and maintain deployed models in production, troubleshooting issues and iterating based on real-world performance metrics in the financial services ecosystem
  • Partner with business units to translate financial challenges into AI-driven opportunities, providing insights that drive revenue growth and risk mitigation
  • Stay abreast of emerging AI/ML trends and technologies, applying them innovatively to enhance JPMorgan's competitive edge in global banking
  • Contribute to the firm's AI governance framework, ensuring ethical AI practices and bias mitigation in model development
  • Mentor junior team members and foster a culture of innovation within the Predictive Science group

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with financial industry standards
  • 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 JPMorgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • general: Relocation assistance for eligible candidates moving to New York, NY

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.