Resume and JobRESUME AND JOB
JP Morgan Chase logo

Applied AI ML Director Machine Learning Center of Excellence

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Director Machine Learning Center of Excellence

full-timePosted: Sep 19, 2025

Job Description

Applied AI ML Director Machine Learning Center of Excellence

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 and machine learning to transform financial services. The Applied AI ML Director in our Machine Learning Center of Excellence (MLCOE) will lead a world-class team dedicated to solving complex financial problems using state-of-the-art methods and our unparalleled datasets. Based in New York, NY, this role falls under our Predictive Science category and offers the opportunity to drive innovation in areas like risk management, algorithmic trading, fraud prevention, and personalized banking solutions. As a key leader in the MLCOE, you will shape the future of AI at one of the world's largest financial institutions, ensuring our models deliver actionable insights that enhance client outcomes and operational resilience. In this director-level position, you will spearhead the strategic vision for ML initiatives, collaborating closely with cross-functional teams including quants, engineers, and business leaders across JP Morgan Chase's lines of business. Your responsibilities will include overseeing the end-to-end lifecycle of ML projects—from ideation and prototyping to deployment and monitoring—while adhering to stringent regulatory requirements such as those from the SEC and FDIC. You will mentor top talent, foster a culture of innovation, and integrate cutting-edge techniques like generative AI and reinforcement learning to tackle unique challenges in capital markets, consumer banking, and investment management. This role demands a blend of technical depth and business acumen to translate sophisticated ML capabilities into tangible value for our global client base. We seek a visionary leader passionate about applied AI in finance, with a proven ability to navigate the complexities of a regulated industry. Joining JP Morgan Chase means contributing to a firm that invests heavily in technology and talent, providing resources to push the boundaries of what's possible in predictive science. If you thrive in a dynamic environment where your work directly impacts billions in assets and millions of customers, this is your chance to lead transformative change at the intersection of AI and finance.

Key Responsibilities

  • Lead the strategic direction of the Machine Learning Center of Excellence (MLCOE) to drive innovation in financial services using advanced AI/ML techniques
  • Oversee the development and deployment of state-of-the-art ML models for predictive analytics, risk assessment, and fraud detection
  • Collaborate with business units across JP Morgan Chase to identify high-value use cases leveraging unique firm datasets
  • Mentor and manage a team of ML engineers, data scientists, and researchers to deliver scalable solutions
  • Ensure ML initiatives comply with regulatory standards, data privacy laws, and JP Morgan's risk management frameworks
  • Foster partnerships with external academia and industry to advance ML methodologies in finance
  • Monitor emerging AI trends and integrate them into the firm's predictive science capabilities
  • Drive the adoption of ML tools and platforms to enhance operational efficiency in trading, lending, and customer services
  • Report on MLCOE performance metrics to senior leadership and contribute to firm-wide AI strategy

Required Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 10+ years of experience in machine learning, AI, or data science, with at least 5 years in a leadership role
  • Proven track record of leading high-impact ML projects in the financial services industry
  • Deep expertise in applied machine learning techniques, including deep learning, NLP, and predictive modeling
  • Experience managing cross-functional teams in a fast-paced, regulated environment like banking
  • Strong publication record or contributions to open-source ML projects in financial applications
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading

Preferred Qualifications

  • Experience at a major financial institution such as JP Morgan Chase or similar
  • Background in developing ML solutions for regulatory compliance or capital markets
  • Certifications in AI/ML from recognized bodies like AWS, Google Cloud, or Coursera
  • Prior involvement in building ML Centers of Excellence or innovation labs
  • Knowledge of ethical AI practices and bias mitigation in financial models

Required Skills

  • Advanced proficiency in Python, R, or Julia for ML development
  • Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learn
  • Strong knowledge of statistical modeling, time-series analysis, and optimization techniques
  • Experience with big data tools such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP)
  • Familiarity with financial concepts like credit risk, market volatility, and portfolio optimization
  • Leadership and team management skills in agile environments
  • Excellent communication and stakeholder engagement abilities
  • Problem-solving in complex, data-rich financial scenarios
  • Proficiency in version control (Git) and CI/CD pipelines for ML deployment
  • Understanding of MLOps practices for model monitoring and scalability
  • Analytical mindset for interpreting financial datasets and deriving insights
  • Adaptability to regulatory changes in banking and fintech
  • Project management skills using tools like Jira or Asana
  • Ethical decision-making in AI applications

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness stipends, and mental health support
  • Flexible work arrangements and relocation assistance for eligible roles

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

  • Advanced proficiency in Python, R, or Julia for ML developmentintermediate
  • Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learnintermediate
  • Strong knowledge of statistical modeling, time-series analysis, and optimization techniquesintermediate
  • Experience with big data tools such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP)intermediate
  • Familiarity with financial concepts like credit risk, market volatility, and portfolio optimizationintermediate
  • Leadership and team management skills in agile environmentsintermediate
  • Excellent communication and stakeholder engagement abilitiesintermediate
  • Problem-solving in complex, data-rich financial scenariosintermediate
  • Proficiency in version control (Git) and CI/CD pipelines for ML deploymentintermediate
  • Understanding of MLOps practices for model monitoring and scalabilityintermediate
  • Analytical mindset for interpreting financial datasets and deriving insightsintermediate
  • Adaptability to regulatory changes in banking and fintechintermediate
  • Project management skills using tools like Jira or Asanaintermediate
  • Ethical decision-making in AI applicationsintermediate

Required Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 10+ years of experience in machine learning, AI, or data science, with at least 5 years in a leadership role (experience)
  • Proven track record of leading high-impact ML projects in the financial services industry (experience)
  • Deep expertise in applied machine learning techniques, including deep learning, NLP, and predictive modeling (experience)
  • Experience managing cross-functional teams in a fast-paced, regulated environment like banking (experience)
  • Strong publication record or contributions to open-source ML projects in financial applications (experience)
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading (experience)

Preferred Qualifications

  • Experience at a major financial institution such as JP Morgan Chase or similar (experience)
  • Background in developing ML solutions for regulatory compliance or capital markets (experience)
  • Certifications in AI/ML from recognized bodies like AWS, Google Cloud, or Coursera (experience)
  • Prior involvement in building ML Centers of Excellence or innovation labs (experience)
  • Knowledge of ethical AI practices and bias mitigation in financial models (experience)

Responsibilities

  • Lead the strategic direction of the Machine Learning Center of Excellence (MLCOE) to drive innovation in financial services using advanced AI/ML techniques
  • Oversee the development and deployment of state-of-the-art ML models for predictive analytics, risk assessment, and fraud detection
  • Collaborate with business units across JP Morgan Chase to identify high-value use cases leveraging unique firm datasets
  • Mentor and manage a team of ML engineers, data scientists, and researchers to deliver scalable solutions
  • Ensure ML initiatives comply with regulatory standards, data privacy laws, and JP Morgan's risk management frameworks
  • Foster partnerships with external academia and industry to advance ML methodologies in finance
  • Monitor emerging AI trends and integrate them into the firm's predictive science capabilities
  • Drive the adoption of ML tools and platforms to enhance operational efficiency in trading, lending, and customer services
  • Report on MLCOE performance metrics to senior leadership and contribute to firm-wide AI strategy

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness stipends, and mental health support
  • general: Flexible work arrangements and relocation assistance for eligible roles

Target Your Resume for "Applied AI ML Director Machine Learning Center of Excellence" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Applied AI ML Director Machine Learning Center of Excellence. Takes only 15 seconds!

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

Check Your ATS Score for "Applied AI ML Director Machine Learning Center of Excellence" , 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 Director Machine Learning Center of Excellence @ 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

Applied AI ML Director Machine Learning Center of Excellence

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Director Machine Learning Center of Excellence

full-timePosted: Sep 19, 2025

Job Description

Applied AI ML Director Machine Learning Center of Excellence

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 and machine learning to transform financial services. The Applied AI ML Director in our Machine Learning Center of Excellence (MLCOE) will lead a world-class team dedicated to solving complex financial problems using state-of-the-art methods and our unparalleled datasets. Based in New York, NY, this role falls under our Predictive Science category and offers the opportunity to drive innovation in areas like risk management, algorithmic trading, fraud prevention, and personalized banking solutions. As a key leader in the MLCOE, you will shape the future of AI at one of the world's largest financial institutions, ensuring our models deliver actionable insights that enhance client outcomes and operational resilience. In this director-level position, you will spearhead the strategic vision for ML initiatives, collaborating closely with cross-functional teams including quants, engineers, and business leaders across JP Morgan Chase's lines of business. Your responsibilities will include overseeing the end-to-end lifecycle of ML projects—from ideation and prototyping to deployment and monitoring—while adhering to stringent regulatory requirements such as those from the SEC and FDIC. You will mentor top talent, foster a culture of innovation, and integrate cutting-edge techniques like generative AI and reinforcement learning to tackle unique challenges in capital markets, consumer banking, and investment management. This role demands a blend of technical depth and business acumen to translate sophisticated ML capabilities into tangible value for our global client base. We seek a visionary leader passionate about applied AI in finance, with a proven ability to navigate the complexities of a regulated industry. Joining JP Morgan Chase means contributing to a firm that invests heavily in technology and talent, providing resources to push the boundaries of what's possible in predictive science. If you thrive in a dynamic environment where your work directly impacts billions in assets and millions of customers, this is your chance to lead transformative change at the intersection of AI and finance.

Key Responsibilities

  • Lead the strategic direction of the Machine Learning Center of Excellence (MLCOE) to drive innovation in financial services using advanced AI/ML techniques
  • Oversee the development and deployment of state-of-the-art ML models for predictive analytics, risk assessment, and fraud detection
  • Collaborate with business units across JP Morgan Chase to identify high-value use cases leveraging unique firm datasets
  • Mentor and manage a team of ML engineers, data scientists, and researchers to deliver scalable solutions
  • Ensure ML initiatives comply with regulatory standards, data privacy laws, and JP Morgan's risk management frameworks
  • Foster partnerships with external academia and industry to advance ML methodologies in finance
  • Monitor emerging AI trends and integrate them into the firm's predictive science capabilities
  • Drive the adoption of ML tools and platforms to enhance operational efficiency in trading, lending, and customer services
  • Report on MLCOE performance metrics to senior leadership and contribute to firm-wide AI strategy

Required Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 10+ years of experience in machine learning, AI, or data science, with at least 5 years in a leadership role
  • Proven track record of leading high-impact ML projects in the financial services industry
  • Deep expertise in applied machine learning techniques, including deep learning, NLP, and predictive modeling
  • Experience managing cross-functional teams in a fast-paced, regulated environment like banking
  • Strong publication record or contributions to open-source ML projects in financial applications
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading

Preferred Qualifications

  • Experience at a major financial institution such as JP Morgan Chase or similar
  • Background in developing ML solutions for regulatory compliance or capital markets
  • Certifications in AI/ML from recognized bodies like AWS, Google Cloud, or Coursera
  • Prior involvement in building ML Centers of Excellence or innovation labs
  • Knowledge of ethical AI practices and bias mitigation in financial models

Required Skills

  • Advanced proficiency in Python, R, or Julia for ML development
  • Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learn
  • Strong knowledge of statistical modeling, time-series analysis, and optimization techniques
  • Experience with big data tools such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP)
  • Familiarity with financial concepts like credit risk, market volatility, and portfolio optimization
  • Leadership and team management skills in agile environments
  • Excellent communication and stakeholder engagement abilities
  • Problem-solving in complex, data-rich financial scenarios
  • Proficiency in version control (Git) and CI/CD pipelines for ML deployment
  • Understanding of MLOps practices for model monitoring and scalability
  • Analytical mindset for interpreting financial datasets and deriving insights
  • Adaptability to regulatory changes in banking and fintech
  • Project management skills using tools like Jira or Asana
  • Ethical decision-making in AI applications

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness stipends, and mental health support
  • Flexible work arrangements and relocation assistance for eligible roles

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

  • Advanced proficiency in Python, R, or Julia for ML developmentintermediate
  • Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learnintermediate
  • Strong knowledge of statistical modeling, time-series analysis, and optimization techniquesintermediate
  • Experience with big data tools such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP)intermediate
  • Familiarity with financial concepts like credit risk, market volatility, and portfolio optimizationintermediate
  • Leadership and team management skills in agile environmentsintermediate
  • Excellent communication and stakeholder engagement abilitiesintermediate
  • Problem-solving in complex, data-rich financial scenariosintermediate
  • Proficiency in version control (Git) and CI/CD pipelines for ML deploymentintermediate
  • Understanding of MLOps practices for model monitoring and scalabilityintermediate
  • Analytical mindset for interpreting financial datasets and deriving insightsintermediate
  • Adaptability to regulatory changes in banking and fintechintermediate
  • Project management skills using tools like Jira or Asanaintermediate
  • Ethical decision-making in AI applicationsintermediate

Required Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 10+ years of experience in machine learning, AI, or data science, with at least 5 years in a leadership role (experience)
  • Proven track record of leading high-impact ML projects in the financial services industry (experience)
  • Deep expertise in applied machine learning techniques, including deep learning, NLP, and predictive modeling (experience)
  • Experience managing cross-functional teams in a fast-paced, regulated environment like banking (experience)
  • Strong publication record or contributions to open-source ML projects in financial applications (experience)
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading (experience)

Preferred Qualifications

  • Experience at a major financial institution such as JP Morgan Chase or similar (experience)
  • Background in developing ML solutions for regulatory compliance or capital markets (experience)
  • Certifications in AI/ML from recognized bodies like AWS, Google Cloud, or Coursera (experience)
  • Prior involvement in building ML Centers of Excellence or innovation labs (experience)
  • Knowledge of ethical AI practices and bias mitigation in financial models (experience)

Responsibilities

  • Lead the strategic direction of the Machine Learning Center of Excellence (MLCOE) to drive innovation in financial services using advanced AI/ML techniques
  • Oversee the development and deployment of state-of-the-art ML models for predictive analytics, risk assessment, and fraud detection
  • Collaborate with business units across JP Morgan Chase to identify high-value use cases leveraging unique firm datasets
  • Mentor and manage a team of ML engineers, data scientists, and researchers to deliver scalable solutions
  • Ensure ML initiatives comply with regulatory standards, data privacy laws, and JP Morgan's risk management frameworks
  • Foster partnerships with external academia and industry to advance ML methodologies in finance
  • Monitor emerging AI trends and integrate them into the firm's predictive science capabilities
  • Drive the adoption of ML tools and platforms to enhance operational efficiency in trading, lending, and customer services
  • Report on MLCOE performance metrics to senior leadership and contribute to firm-wide AI strategy

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness stipends, and mental health support
  • general: Flexible work arrangements and relocation assistance for eligible roles

Target Your Resume for "Applied AI ML Director Machine Learning Center of Excellence" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Applied AI ML Director Machine Learning Center of Excellence. Takes only 15 seconds!

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

Check Your ATS Score for "Applied AI ML Director Machine Learning Center of Excellence" , 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 Director Machine Learning Center of Excellence @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.