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AI ML Executive Director

JP Morgan Chase

Software and Technology Jobs

AI ML Executive Director

full-timePosted: Oct 1, 2025

Job Description

AI ML Executive Director

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 landscape through cutting-edge AI and machine learning innovations. As an AI ML Executive Director in our Predictive Science team, you will play a pivotal role in reshaping the future of banking by leading the development of sophisticated predictive models that enhance decision-making across our global operations. Based in our state-of-the-art New York, NY office, you will drive initiatives that leverage AI to optimize risk management, personalize customer experiences, and uncover actionable insights from vast financial datasets. This position offers the opportunity to collaborate with top-tier talent in a dynamic environment where your expertise can directly impact one of the world's leading financial institutions. In this executive leadership role, you will oversee a high-performing team of AI specialists, guiding them in building scalable ML solutions tailored to the complexities of the financial industry. Your responsibilities will include architecting models for fraud detection, market forecasting, and portfolio optimization, while ensuring all efforts adhere to stringent regulatory frameworks like those from the SEC and FINRA. You will partner closely with business leaders in areas such as investment banking and consumer finance to translate complex data into strategic advantages, fostering innovation that drives revenue growth and operational efficiency at JPMorgan Chase. We value leaders who thrive in ambiguity and are passionate about ethical AI deployment. Joining our team means access to unparalleled resources, including advanced computing infrastructure and a collaborative culture that encourages bold ideas. If you are ready to lead the charge in predictive science and contribute to JPMorgan Chase's mission of powering the progress of the financial world, this role is your opportunity to make a lasting impact.

Key Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to drive predictive insights for JPMorgan Chase's financial products and services
  • Oversee a team of data scientists and ML engineers, fostering innovation in areas like credit risk assessment and customer personalization
  • Collaborate with business stakeholders across investment banking, consumer banking, and asset management to align AI initiatives with strategic goals
  • Ensure compliance with regulatory standards and ethical AI practices in all model development and deployment processes
  • Manage end-to-end AI project lifecycles, from data ingestion and model training to production monitoring and optimization
  • Identify emerging AI trends and technologies to enhance JPMorgan Chase's competitive edge in the financial services industry
  • Mentor junior team members and promote a culture of continuous learning in machine learning applications
  • Conduct risk assessments and performance evaluations of AI systems to mitigate potential financial and operational impacts
  • Partner with IT and infrastructure teams to scale AI solutions on JPMorgan Chase's secure cloud environments
  • Present AI strategy and outcomes to senior executives, translating technical concepts into business value

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field
  • 10+ years of experience in AI/ML development and deployment, with at least 5 years in a leadership role within financial services
  • Proven track record of leading cross-functional teams in building and scaling machine learning models for predictive analytics
  • Deep expertise in machine learning frameworks and tools, including TensorFlow, PyTorch, and scikit-learn
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines for AI applications in banking
  • Experience with big data technologies like Hadoop, Spark, and cloud platforms (AWS, Azure, or GCP)
  • Demonstrated ability to manage budgets and resources for AI initiatives in a high-stakes financial environment

Preferred Qualifications

  • Experience in developing AI solutions for risk management, fraud detection, or algorithmic trading at a major financial institution
  • Publications or contributions to AI/ML research in financial applications, such as predictive modeling for market trends
  • Certification in AI ethics or responsible AI practices, with knowledge of bias mitigation in financial models
  • Prior leadership in agile methodologies for AI project delivery within a global bank
  • Familiarity with JPMorgan Chase's internal tools and platforms for data governance and model deployment

Required Skills

  • Machine Learning Algorithms (supervised, unsupervised, reinforcement learning)
  • Deep Learning Techniques (neural networks, CNNs, RNNs, transformers)
  • Python Programming and Data Manipulation (Pandas, NumPy)
  • Big Data Processing (Apache Spark, Hadoop)
  • Cloud Computing Platforms (AWS SageMaker, Google Cloud AI, Azure ML)
  • Model Deployment and MLOps (Docker, Kubernetes, CI/CD pipelines)
  • Statistical Analysis and Predictive Modeling
  • Financial Domain Knowledge (risk modeling, time-series forecasting)
  • Leadership and Team Management
  • Stakeholder Communication and Presentation Skills
  • Problem-Solving in High-Pressure Environments
  • Agile Project Management Methodologies
  • Data Privacy and Ethical AI Principles
  • SQL and Database Querying
  • Version Control Systems (Git)

Benefits

  • Competitive base salary and performance-based annual bonus
  • 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, such as tuition reimbursement and access to JPMorgan Chase's internal training programs
  • Wellness programs including gym memberships, mental health support, and employee assistance services
  • Stock purchase plan and employee stock ownership opportunities
  • Flexible work arrangements, including hybrid options in 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 Algorithms (supervised, unsupervised, reinforcement learning)intermediate
  • Deep Learning Techniques (neural networks, CNNs, RNNs, transformers)intermediate
  • Python Programming and Data Manipulation (Pandas, NumPy)intermediate
  • Big Data Processing (Apache Spark, Hadoop)intermediate
  • Cloud Computing Platforms (AWS SageMaker, Google Cloud AI, Azure ML)intermediate
  • Model Deployment and MLOps (Docker, Kubernetes, CI/CD pipelines)intermediate
  • Statistical Analysis and Predictive Modelingintermediate
  • Financial Domain Knowledge (risk modeling, time-series forecasting)intermediate
  • Leadership and Team Managementintermediate
  • Stakeholder Communication and Presentation Skillsintermediate
  • Problem-Solving in High-Pressure Environmentsintermediate
  • Agile Project Management Methodologiesintermediate
  • Data Privacy and Ethical AI Principlesintermediate
  • SQL and Database Queryingintermediate
  • Version Control Systems (Git)intermediate

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field (experience)
  • 10+ years of experience in AI/ML development and deployment, with at least 5 years in a leadership role within financial services (experience)
  • Proven track record of leading cross-functional teams in building and scaling machine learning models for predictive analytics (experience)
  • Deep expertise in machine learning frameworks and tools, including TensorFlow, PyTorch, and scikit-learn (experience)
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines for AI applications in banking (experience)
  • Experience with big data technologies like Hadoop, Spark, and cloud platforms (AWS, Azure, or GCP) (experience)
  • Demonstrated ability to manage budgets and resources for AI initiatives in a high-stakes financial environment (experience)

Preferred Qualifications

  • Experience in developing AI solutions for risk management, fraud detection, or algorithmic trading at a major financial institution (experience)
  • Publications or contributions to AI/ML research in financial applications, such as predictive modeling for market trends (experience)
  • Certification in AI ethics or responsible AI practices, with knowledge of bias mitigation in financial models (experience)
  • Prior leadership in agile methodologies for AI project delivery within a global bank (experience)
  • Familiarity with JPMorgan Chase's internal tools and platforms for data governance and model deployment (experience)

Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to drive predictive insights for JPMorgan Chase's financial products and services
  • Oversee a team of data scientists and ML engineers, fostering innovation in areas like credit risk assessment and customer personalization
  • Collaborate with business stakeholders across investment banking, consumer banking, and asset management to align AI initiatives with strategic goals
  • Ensure compliance with regulatory standards and ethical AI practices in all model development and deployment processes
  • Manage end-to-end AI project lifecycles, from data ingestion and model training to production monitoring and optimization
  • Identify emerging AI trends and technologies to enhance JPMorgan Chase's competitive edge in the financial services industry
  • Mentor junior team members and promote a culture of continuous learning in machine learning applications
  • Conduct risk assessments and performance evaluations of AI systems to mitigate potential financial and operational impacts
  • Partner with IT and infrastructure teams to scale AI solutions on JPMorgan Chase's secure cloud environments
  • Present AI strategy and outcomes to senior executives, translating technical concepts into business value

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • 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, such as tuition reimbursement and access to JPMorgan Chase's internal training programs
  • general: Wellness programs including gym memberships, mental health support, and employee assistance services
  • general: Stock purchase plan and employee stock ownership opportunities
  • general: Flexible work arrangements, including hybrid options in New York, NY

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JP Morgan Chase logo

AI ML Executive Director

JP Morgan Chase

Software and Technology Jobs

AI ML Executive Director

full-timePosted: Oct 1, 2025

Job Description

AI ML Executive Director

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 landscape through cutting-edge AI and machine learning innovations. As an AI ML Executive Director in our Predictive Science team, you will play a pivotal role in reshaping the future of banking by leading the development of sophisticated predictive models that enhance decision-making across our global operations. Based in our state-of-the-art New York, NY office, you will drive initiatives that leverage AI to optimize risk management, personalize customer experiences, and uncover actionable insights from vast financial datasets. This position offers the opportunity to collaborate with top-tier talent in a dynamic environment where your expertise can directly impact one of the world's leading financial institutions. In this executive leadership role, you will oversee a high-performing team of AI specialists, guiding them in building scalable ML solutions tailored to the complexities of the financial industry. Your responsibilities will include architecting models for fraud detection, market forecasting, and portfolio optimization, while ensuring all efforts adhere to stringent regulatory frameworks like those from the SEC and FINRA. You will partner closely with business leaders in areas such as investment banking and consumer finance to translate complex data into strategic advantages, fostering innovation that drives revenue growth and operational efficiency at JPMorgan Chase. We value leaders who thrive in ambiguity and are passionate about ethical AI deployment. Joining our team means access to unparalleled resources, including advanced computing infrastructure and a collaborative culture that encourages bold ideas. If you are ready to lead the charge in predictive science and contribute to JPMorgan Chase's mission of powering the progress of the financial world, this role is your opportunity to make a lasting impact.

Key Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to drive predictive insights for JPMorgan Chase's financial products and services
  • Oversee a team of data scientists and ML engineers, fostering innovation in areas like credit risk assessment and customer personalization
  • Collaborate with business stakeholders across investment banking, consumer banking, and asset management to align AI initiatives with strategic goals
  • Ensure compliance with regulatory standards and ethical AI practices in all model development and deployment processes
  • Manage end-to-end AI project lifecycles, from data ingestion and model training to production monitoring and optimization
  • Identify emerging AI trends and technologies to enhance JPMorgan Chase's competitive edge in the financial services industry
  • Mentor junior team members and promote a culture of continuous learning in machine learning applications
  • Conduct risk assessments and performance evaluations of AI systems to mitigate potential financial and operational impacts
  • Partner with IT and infrastructure teams to scale AI solutions on JPMorgan Chase's secure cloud environments
  • Present AI strategy and outcomes to senior executives, translating technical concepts into business value

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field
  • 10+ years of experience in AI/ML development and deployment, with at least 5 years in a leadership role within financial services
  • Proven track record of leading cross-functional teams in building and scaling machine learning models for predictive analytics
  • Deep expertise in machine learning frameworks and tools, including TensorFlow, PyTorch, and scikit-learn
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines for AI applications in banking
  • Experience with big data technologies like Hadoop, Spark, and cloud platforms (AWS, Azure, or GCP)
  • Demonstrated ability to manage budgets and resources for AI initiatives in a high-stakes financial environment

Preferred Qualifications

  • Experience in developing AI solutions for risk management, fraud detection, or algorithmic trading at a major financial institution
  • Publications or contributions to AI/ML research in financial applications, such as predictive modeling for market trends
  • Certification in AI ethics or responsible AI practices, with knowledge of bias mitigation in financial models
  • Prior leadership in agile methodologies for AI project delivery within a global bank
  • Familiarity with JPMorgan Chase's internal tools and platforms for data governance and model deployment

Required Skills

  • Machine Learning Algorithms (supervised, unsupervised, reinforcement learning)
  • Deep Learning Techniques (neural networks, CNNs, RNNs, transformers)
  • Python Programming and Data Manipulation (Pandas, NumPy)
  • Big Data Processing (Apache Spark, Hadoop)
  • Cloud Computing Platforms (AWS SageMaker, Google Cloud AI, Azure ML)
  • Model Deployment and MLOps (Docker, Kubernetes, CI/CD pipelines)
  • Statistical Analysis and Predictive Modeling
  • Financial Domain Knowledge (risk modeling, time-series forecasting)
  • Leadership and Team Management
  • Stakeholder Communication and Presentation Skills
  • Problem-Solving in High-Pressure Environments
  • Agile Project Management Methodologies
  • Data Privacy and Ethical AI Principles
  • SQL and Database Querying
  • Version Control Systems (Git)

Benefits

  • Competitive base salary and performance-based annual bonus
  • 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, such as tuition reimbursement and access to JPMorgan Chase's internal training programs
  • Wellness programs including gym memberships, mental health support, and employee assistance services
  • Stock purchase plan and employee stock ownership opportunities
  • Flexible work arrangements, including hybrid options in 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 Algorithms (supervised, unsupervised, reinforcement learning)intermediate
  • Deep Learning Techniques (neural networks, CNNs, RNNs, transformers)intermediate
  • Python Programming and Data Manipulation (Pandas, NumPy)intermediate
  • Big Data Processing (Apache Spark, Hadoop)intermediate
  • Cloud Computing Platforms (AWS SageMaker, Google Cloud AI, Azure ML)intermediate
  • Model Deployment and MLOps (Docker, Kubernetes, CI/CD pipelines)intermediate
  • Statistical Analysis and Predictive Modelingintermediate
  • Financial Domain Knowledge (risk modeling, time-series forecasting)intermediate
  • Leadership and Team Managementintermediate
  • Stakeholder Communication and Presentation Skillsintermediate
  • Problem-Solving in High-Pressure Environmentsintermediate
  • Agile Project Management Methodologiesintermediate
  • Data Privacy and Ethical AI Principlesintermediate
  • SQL and Database Queryingintermediate
  • Version Control Systems (Git)intermediate

Required Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field (experience)
  • 10+ years of experience in AI/ML development and deployment, with at least 5 years in a leadership role within financial services (experience)
  • Proven track record of leading cross-functional teams in building and scaling machine learning models for predictive analytics (experience)
  • Deep expertise in machine learning frameworks and tools, including TensorFlow, PyTorch, and scikit-learn (experience)
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines for AI applications in banking (experience)
  • Experience with big data technologies like Hadoop, Spark, and cloud platforms (AWS, Azure, or GCP) (experience)
  • Demonstrated ability to manage budgets and resources for AI initiatives in a high-stakes financial environment (experience)

Preferred Qualifications

  • Experience in developing AI solutions for risk management, fraud detection, or algorithmic trading at a major financial institution (experience)
  • Publications or contributions to AI/ML research in financial applications, such as predictive modeling for market trends (experience)
  • Certification in AI ethics or responsible AI practices, with knowledge of bias mitigation in financial models (experience)
  • Prior leadership in agile methodologies for AI project delivery within a global bank (experience)
  • Familiarity with JPMorgan Chase's internal tools and platforms for data governance and model deployment (experience)

Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to drive predictive insights for JPMorgan Chase's financial products and services
  • Oversee a team of data scientists and ML engineers, fostering innovation in areas like credit risk assessment and customer personalization
  • Collaborate with business stakeholders across investment banking, consumer banking, and asset management to align AI initiatives with strategic goals
  • Ensure compliance with regulatory standards and ethical AI practices in all model development and deployment processes
  • Manage end-to-end AI project lifecycles, from data ingestion and model training to production monitoring and optimization
  • Identify emerging AI trends and technologies to enhance JPMorgan Chase's competitive edge in the financial services industry
  • Mentor junior team members and promote a culture of continuous learning in machine learning applications
  • Conduct risk assessments and performance evaluations of AI systems to mitigate potential financial and operational impacts
  • Partner with IT and infrastructure teams to scale AI solutions on JPMorgan Chase's secure cloud environments
  • Present AI strategy and outcomes to senior executives, translating technical concepts into business value

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • 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, such as tuition reimbursement and access to JPMorgan Chase's internal training programs
  • general: Wellness programs including gym memberships, mental health support, and employee assistance services
  • general: Stock purchase plan and employee stock ownership opportunities
  • general: Flexible work arrangements, including hybrid options in New York, NY

Target Your Resume for "AI ML Executive Director" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for AI ML Executive Director. Takes only 15 seconds!

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

Check Your ATS Score for "AI ML Executive Director" , 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 AI ML Executive Director @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.