Resume and JobRESUME AND JOB
JP Morgan Chase logo

Product and Transformation – Applied AI ML Lead

JP Morgan Chase

Software and Technology Jobs

Product and Transformation – Applied AI ML Lead

full-timePosted: Dec 5, 2025

Job Description

Product and Transformation – Applied AI ML Lead

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging technology to redefine the future of financial services. As a Product and Transformation – Applied AI ML Lead in our Predictive Science team, you will spearhead the application of cutting-edge AI and machine learning techniques to solve intricate problems in banking, capital markets, and beyond. Based in our dynamic New York office, you will drive innovation by integrating advanced computational methods into core business processes, enhancing everything from fraud detection to personalized investment strategies. This role offers the opportunity to lead transformative projects that directly impact our global client base and solidify JPMorgan Chase's position as a leader in AI-driven finance. Your primary focus will be on architecting and implementing AI solutions that deliver measurable business value while adhering to the highest standards of regulatory compliance and ethical AI practices. You will collaborate with elite teams of data scientists, product managers, and executives to identify high-impact use cases, such as predictive analytics for market volatility or optimization of trading algorithms. By fostering a culture of experimentation and rapid iteration, you will guide the team in deploying scalable ML models that operate seamlessly in our robust, cloud-native infrastructure, ensuring resilience and performance in a 24/7 financial ecosystem. This position is ideal for a visionary leader passionate about the intersection of AI and finance, with the chance to mentor emerging talent and influence firm-wide AI strategy. At JPMorgan Chase, you will thrive in an inclusive environment that values diverse perspectives and invests in your professional growth, all while contributing to groundbreaking advancements that shape the industry's future.

Key Responsibilities

  • Lead the development and deployment of applied AI/ML solutions to address complex financial challenges, such as predictive risk modeling and algorithmic trading
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define AI-driven transformation roadmaps
  • Apply cutting-edge computational techniques, including deep learning and reinforcement learning, to enhance predictive science capabilities within JPMorgan Chase
  • Oversee the end-to-end lifecycle of AI projects, from data ingestion and model training to production monitoring and optimization
  • Ensure AI models comply with financial regulations, including bias mitigation and explainability requirements for internal audits
  • Mentor junior team members and foster a culture of innovation in applied AI within the firm's technology and operations groups
  • Identify opportunities to integrate AI into core banking products, such as personalized client services or fraud prevention systems
  • Conduct research and experimentation with emerging AI technologies to maintain JPMorgan Chase's competitive edge in financial services
  • Present AI insights and results to senior leadership, translating technical outcomes into business value for strategic decision-making
  • Drive continuous improvement in AI infrastructure, leveraging cloud-based tools to scale solutions across global markets

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 8+ years of experience in applied AI/ML, with a focus on financial services or complex data-driven environments
  • Proven track record of leading AI/ML projects from ideation to production deployment in a large-scale organization
  • Deep expertise in machine learning frameworks and computational techniques applied to predictive modeling
  • Experience with regulatory compliance in financial AI applications, such as model risk management and ethical AI practices
  • Strong programming proficiency in Python, R, or Java, with hands-on experience in data pipelines and cloud environments
  • Ability to collaborate across multidisciplinary teams in a fast-paced, high-stakes financial setting

Preferred Qualifications

  • PhD in AI, Machine Learning, or a related field with publications in predictive science or financial applications
  • Prior experience at a major financial institution, particularly in risk management, fraud detection, or trading optimization
  • Familiarity with JPMorgan Chase's tech stack, including internal AI platforms and data governance frameworks
  • Certifications in AI ethics, such as those from IEEE or similar bodies, relevant to financial sector applications
  • Experience leading transformation initiatives using AI to drive business outcomes in banking or capital markets

Required Skills

  • Machine Learning Algorithms (e.g., supervised/unsupervised learning, neural networks)
  • Deep Learning Frameworks (TensorFlow, PyTorch, Keras)
  • Data Processing and Analysis (Pandas, NumPy, SQL)
  • Cloud Computing Platforms (AWS, Azure, or Google Cloud for AI workloads)
  • Big Data Technologies (Hadoop, Spark for scalable ML pipelines)
  • Python Programming Expertise
  • Statistical Modeling and Predictive Analytics
  • AI Ethics and Bias Detection Techniques
  • Financial Domain Knowledge (risk modeling, time-series forecasting)
  • Project Management and Agile Methodologies
  • Cross-Functional Collaboration and Communication
  • Problem-Solving in High-Pressure Environments
  • Model Deployment and MLOps Practices
  • Regulatory Compliance in AI (e.g., GDPR, CCAR for finance)
  • Leadership and Team Mentorship Skills

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, including tuition reimbursement for advanced AI/ML certifications
  • Employee stock purchase plan and access to JPMorgan Chase's wealth management resources
  • Wellness programs featuring gym memberships, mental health support, and financial wellness coaching
  • Hybrid work model with flexibility for New York-based roles, plus global mobility options within the firm

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 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 (e.g., supervised/unsupervised learning, neural networks)intermediate
  • Deep Learning Frameworks (TensorFlow, PyTorch, Keras)intermediate
  • Data Processing and Analysis (Pandas, NumPy, SQL)intermediate
  • Cloud Computing Platforms (AWS, Azure, or Google Cloud for AI workloads)intermediate
  • Big Data Technologies (Hadoop, Spark for scalable ML pipelines)intermediate
  • Python Programming Expertiseintermediate
  • Statistical Modeling and Predictive Analyticsintermediate
  • AI Ethics and Bias Detection Techniquesintermediate
  • Financial Domain Knowledge (risk modeling, time-series forecasting)intermediate
  • Project Management and Agile Methodologiesintermediate
  • Cross-Functional Collaboration and Communicationintermediate
  • Problem-Solving in High-Pressure Environmentsintermediate
  • Model Deployment and MLOps Practicesintermediate
  • Regulatory Compliance in AI (e.g., GDPR, CCAR for finance)intermediate
  • Leadership and Team Mentorship Skillsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 8+ years of experience in applied AI/ML, with a focus on financial services or complex data-driven environments (experience)
  • Proven track record of leading AI/ML projects from ideation to production deployment in a large-scale organization (experience)
  • Deep expertise in machine learning frameworks and computational techniques applied to predictive modeling (experience)
  • Experience with regulatory compliance in financial AI applications, such as model risk management and ethical AI practices (experience)
  • Strong programming proficiency in Python, R, or Java, with hands-on experience in data pipelines and cloud environments (experience)
  • Ability to collaborate across multidisciplinary teams in a fast-paced, high-stakes financial setting (experience)

Preferred Qualifications

  • PhD in AI, Machine Learning, or a related field with publications in predictive science or financial applications (experience)
  • Prior experience at a major financial institution, particularly in risk management, fraud detection, or trading optimization (experience)
  • Familiarity with JPMorgan Chase's tech stack, including internal AI platforms and data governance frameworks (experience)
  • Certifications in AI ethics, such as those from IEEE or similar bodies, relevant to financial sector applications (experience)
  • Experience leading transformation initiatives using AI to drive business outcomes in banking or capital markets (experience)

Responsibilities

  • Lead the development and deployment of applied AI/ML solutions to address complex financial challenges, such as predictive risk modeling and algorithmic trading
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define AI-driven transformation roadmaps
  • Apply cutting-edge computational techniques, including deep learning and reinforcement learning, to enhance predictive science capabilities within JPMorgan Chase
  • Oversee the end-to-end lifecycle of AI projects, from data ingestion and model training to production monitoring and optimization
  • Ensure AI models comply with financial regulations, including bias mitigation and explainability requirements for internal audits
  • Mentor junior team members and foster a culture of innovation in applied AI within the firm's technology and operations groups
  • Identify opportunities to integrate AI into core banking products, such as personalized client services or fraud prevention systems
  • Conduct research and experimentation with emerging AI technologies to maintain JPMorgan Chase's competitive edge in financial services
  • Present AI insights and results to senior leadership, translating technical outcomes into business value for strategic decision-making
  • Drive continuous improvement in AI infrastructure, leveraging cloud-based tools to scale solutions across global markets

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, including tuition reimbursement for advanced AI/ML certifications
  • general: Employee stock purchase plan and access to JPMorgan Chase's wealth management resources
  • general: Wellness programs featuring gym memberships, mental health support, and financial wellness coaching
  • general: Hybrid work model with flexibility for New York-based roles, plus global mobility options within the firm

Target Your Resume for "Product and Transformation – Applied AI ML Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Product and Transformation – Applied AI ML Lead. Takes only 15 seconds!

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

Check Your ATS Score for "Product and Transformation – Applied AI ML Lead" , 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 Product and Transformation – Applied AI ML Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

JP Morgan Chase logo

Product and Transformation – Applied AI ML Lead

JP Morgan Chase

Software and Technology Jobs

Product and Transformation – Applied AI ML Lead

full-timePosted: Dec 5, 2025

Job Description

Product and Transformation – Applied AI ML Lead

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging technology to redefine the future of financial services. As a Product and Transformation – Applied AI ML Lead in our Predictive Science team, you will spearhead the application of cutting-edge AI and machine learning techniques to solve intricate problems in banking, capital markets, and beyond. Based in our dynamic New York office, you will drive innovation by integrating advanced computational methods into core business processes, enhancing everything from fraud detection to personalized investment strategies. This role offers the opportunity to lead transformative projects that directly impact our global client base and solidify JPMorgan Chase's position as a leader in AI-driven finance. Your primary focus will be on architecting and implementing AI solutions that deliver measurable business value while adhering to the highest standards of regulatory compliance and ethical AI practices. You will collaborate with elite teams of data scientists, product managers, and executives to identify high-impact use cases, such as predictive analytics for market volatility or optimization of trading algorithms. By fostering a culture of experimentation and rapid iteration, you will guide the team in deploying scalable ML models that operate seamlessly in our robust, cloud-native infrastructure, ensuring resilience and performance in a 24/7 financial ecosystem. This position is ideal for a visionary leader passionate about the intersection of AI and finance, with the chance to mentor emerging talent and influence firm-wide AI strategy. At JPMorgan Chase, you will thrive in an inclusive environment that values diverse perspectives and invests in your professional growth, all while contributing to groundbreaking advancements that shape the industry's future.

Key Responsibilities

  • Lead the development and deployment of applied AI/ML solutions to address complex financial challenges, such as predictive risk modeling and algorithmic trading
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define AI-driven transformation roadmaps
  • Apply cutting-edge computational techniques, including deep learning and reinforcement learning, to enhance predictive science capabilities within JPMorgan Chase
  • Oversee the end-to-end lifecycle of AI projects, from data ingestion and model training to production monitoring and optimization
  • Ensure AI models comply with financial regulations, including bias mitigation and explainability requirements for internal audits
  • Mentor junior team members and foster a culture of innovation in applied AI within the firm's technology and operations groups
  • Identify opportunities to integrate AI into core banking products, such as personalized client services or fraud prevention systems
  • Conduct research and experimentation with emerging AI technologies to maintain JPMorgan Chase's competitive edge in financial services
  • Present AI insights and results to senior leadership, translating technical outcomes into business value for strategic decision-making
  • Drive continuous improvement in AI infrastructure, leveraging cloud-based tools to scale solutions across global markets

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 8+ years of experience in applied AI/ML, with a focus on financial services or complex data-driven environments
  • Proven track record of leading AI/ML projects from ideation to production deployment in a large-scale organization
  • Deep expertise in machine learning frameworks and computational techniques applied to predictive modeling
  • Experience with regulatory compliance in financial AI applications, such as model risk management and ethical AI practices
  • Strong programming proficiency in Python, R, or Java, with hands-on experience in data pipelines and cloud environments
  • Ability to collaborate across multidisciplinary teams in a fast-paced, high-stakes financial setting

Preferred Qualifications

  • PhD in AI, Machine Learning, or a related field with publications in predictive science or financial applications
  • Prior experience at a major financial institution, particularly in risk management, fraud detection, or trading optimization
  • Familiarity with JPMorgan Chase's tech stack, including internal AI platforms and data governance frameworks
  • Certifications in AI ethics, such as those from IEEE or similar bodies, relevant to financial sector applications
  • Experience leading transformation initiatives using AI to drive business outcomes in banking or capital markets

Required Skills

  • Machine Learning Algorithms (e.g., supervised/unsupervised learning, neural networks)
  • Deep Learning Frameworks (TensorFlow, PyTorch, Keras)
  • Data Processing and Analysis (Pandas, NumPy, SQL)
  • Cloud Computing Platforms (AWS, Azure, or Google Cloud for AI workloads)
  • Big Data Technologies (Hadoop, Spark for scalable ML pipelines)
  • Python Programming Expertise
  • Statistical Modeling and Predictive Analytics
  • AI Ethics and Bias Detection Techniques
  • Financial Domain Knowledge (risk modeling, time-series forecasting)
  • Project Management and Agile Methodologies
  • Cross-Functional Collaboration and Communication
  • Problem-Solving in High-Pressure Environments
  • Model Deployment and MLOps Practices
  • Regulatory Compliance in AI (e.g., GDPR, CCAR for finance)
  • Leadership and Team Mentorship Skills

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, including tuition reimbursement for advanced AI/ML certifications
  • Employee stock purchase plan and access to JPMorgan Chase's wealth management resources
  • Wellness programs featuring gym memberships, mental health support, and financial wellness coaching
  • Hybrid work model with flexibility for New York-based roles, plus global mobility options within the firm

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 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 (e.g., supervised/unsupervised learning, neural networks)intermediate
  • Deep Learning Frameworks (TensorFlow, PyTorch, Keras)intermediate
  • Data Processing and Analysis (Pandas, NumPy, SQL)intermediate
  • Cloud Computing Platforms (AWS, Azure, or Google Cloud for AI workloads)intermediate
  • Big Data Technologies (Hadoop, Spark for scalable ML pipelines)intermediate
  • Python Programming Expertiseintermediate
  • Statistical Modeling and Predictive Analyticsintermediate
  • AI Ethics and Bias Detection Techniquesintermediate
  • Financial Domain Knowledge (risk modeling, time-series forecasting)intermediate
  • Project Management and Agile Methodologiesintermediate
  • Cross-Functional Collaboration and Communicationintermediate
  • Problem-Solving in High-Pressure Environmentsintermediate
  • Model Deployment and MLOps Practicesintermediate
  • Regulatory Compliance in AI (e.g., GDPR, CCAR for finance)intermediate
  • Leadership and Team Mentorship Skillsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 8+ years of experience in applied AI/ML, with a focus on financial services or complex data-driven environments (experience)
  • Proven track record of leading AI/ML projects from ideation to production deployment in a large-scale organization (experience)
  • Deep expertise in machine learning frameworks and computational techniques applied to predictive modeling (experience)
  • Experience with regulatory compliance in financial AI applications, such as model risk management and ethical AI practices (experience)
  • Strong programming proficiency in Python, R, or Java, with hands-on experience in data pipelines and cloud environments (experience)
  • Ability to collaborate across multidisciplinary teams in a fast-paced, high-stakes financial setting (experience)

Preferred Qualifications

  • PhD in AI, Machine Learning, or a related field with publications in predictive science or financial applications (experience)
  • Prior experience at a major financial institution, particularly in risk management, fraud detection, or trading optimization (experience)
  • Familiarity with JPMorgan Chase's tech stack, including internal AI platforms and data governance frameworks (experience)
  • Certifications in AI ethics, such as those from IEEE or similar bodies, relevant to financial sector applications (experience)
  • Experience leading transformation initiatives using AI to drive business outcomes in banking or capital markets (experience)

Responsibilities

  • Lead the development and deployment of applied AI/ML solutions to address complex financial challenges, such as predictive risk modeling and algorithmic trading
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define AI-driven transformation roadmaps
  • Apply cutting-edge computational techniques, including deep learning and reinforcement learning, to enhance predictive science capabilities within JPMorgan Chase
  • Oversee the end-to-end lifecycle of AI projects, from data ingestion and model training to production monitoring and optimization
  • Ensure AI models comply with financial regulations, including bias mitigation and explainability requirements for internal audits
  • Mentor junior team members and foster a culture of innovation in applied AI within the firm's technology and operations groups
  • Identify opportunities to integrate AI into core banking products, such as personalized client services or fraud prevention systems
  • Conduct research and experimentation with emerging AI technologies to maintain JPMorgan Chase's competitive edge in financial services
  • Present AI insights and results to senior leadership, translating technical outcomes into business value for strategic decision-making
  • Drive continuous improvement in AI infrastructure, leveraging cloud-based tools to scale solutions across global markets

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, including tuition reimbursement for advanced AI/ML certifications
  • general: Employee stock purchase plan and access to JPMorgan Chase's wealth management resources
  • general: Wellness programs featuring gym memberships, mental health support, and financial wellness coaching
  • general: Hybrid work model with flexibility for New York-based roles, plus global mobility options within the firm

Target Your Resume for "Product and Transformation – Applied AI ML Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Product and Transformation – Applied AI ML Lead. Takes only 15 seconds!

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

Check Your ATS Score for "Product and Transformation – Applied AI ML Lead" , 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 Product and Transformation – Applied AI ML Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.