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Python Lead Software Engineer- AI / ML

JP Morgan Chase

Software and Technology Jobs

Python Lead Software Engineer- AI / ML

full-timePosted: Nov 21, 2025

Job Description

Python Lead Software Engineer- AI / ML

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to transform the financial services industry. As a Python Lead Software Engineer in our AI/ML team based in Jersey City, NJ, you will play a pivotal role in designing, developing, deploying, and maintaining cutting-edge AI products that drive innovation across our diverse lines of business, from consumer banking to investment management. This position offers the opportunity to lead high-impact projects that enhance customer experiences, mitigate risks, and optimize trading strategies in one of the world's largest financial institutions. You will collaborate with elite teams of engineers, data scientists, and domain experts to build scalable solutions that adhere to stringent regulatory standards while pushing the boundaries of what's possible with AI in finance. In this leadership role, you will architect Python-based AI/ML pipelines that process vast amounts of financial data, enabling predictive analytics for fraud detection, personalized financial advice, and algorithmic decision-making. Your responsibilities will include mentoring a team of developers, ensuring code quality through rigorous testing and reviews, and integrating models into JP Morgan's robust technology ecosystem. You will tackle complex challenges such as model interpretability for compliance purposes and real-time performance in volatile markets, all while fostering an inclusive environment that values diverse perspectives and innovative thinking. Joining JP Morgan Chase means being part of a global leader committed to responsible AI innovation. We provide unparalleled resources for professional growth, including access to advanced tools, ongoing training, and opportunities to contribute to industry-shaping initiatives. If you are a passionate Python expert with a vision for AI in financial services, this role in Jersey City offers a dynamic platform to advance your career and make a tangible impact on millions of customers worldwide.

Key Responsibilities

  • Lead the design and development of AI/ML models using Python to support financial products across JP Morgan's lines of business, including investment banking and consumer banking
  • Collaborate with data scientists, product managers, and stakeholders to define requirements for AI-driven solutions that enhance risk assessment and customer personalization
  • Deploy and maintain scalable AI/ML pipelines in cloud environments, ensuring high availability and performance in a regulated financial services context
  • Mentor and guide a team of Python engineers, fostering best practices in code quality, testing, and DevOps for AI applications
  • Integrate AI/ML models with JP Morgan's core banking systems, adhering to data privacy standards like GDPR and SEC regulations
  • Conduct code reviews, optimize algorithms for efficiency, and troubleshoot production issues in real-time trading or fraud detection systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to financial services innovations at JP Morgan
  • Contribute to the full software development lifecycle, from prototyping to monitoring post-deployment performance metrics
  • Ensure ethical AI practices, mitigating biases in models used for credit scoring or market predictions

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of professional experience in software engineering with a focus on Python development
  • Proven track record in designing, developing, and deploying AI/ML solutions in a production environment
  • Strong understanding of financial services domain, including regulatory compliance and risk management
  • Experience with scalable AI/ML frameworks and tools in a large enterprise setting
  • Ability to lead cross-functional teams and mentor junior engineers
  • U.S. work authorization required; willingness to work in Jersey City, NJ

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Experience in financial modeling, fraud detection, or algorithmic trading using AI/ML
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure
  • Certifications in Python, AI/ML (e.g., TensorFlow Developer Certificate)
  • Prior leadership role in agile teams delivering AI products for banking or fintech

Required Skills

  • Expertise in Python programming, including libraries like NumPy, Pandas, and Scikit-learn
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras
  • Experience with data processing tools like Apache Spark or Hadoop for large-scale financial datasets
  • Knowledge of cloud computing platforms (AWS, GCP, Azure) for ML model deployment
  • Strong understanding of machine learning algorithms, including supervised/unsupervised learning and deep learning
  • Familiarity with SQL, NoSQL databases, and ETL processes in a financial data environment
  • Skills in version control (Git) and CI/CD pipelines (Jenkins, GitHub Actions)
  • Ability to work with APIs and microservices architecture for integrating AI into banking applications
  • Excellent problem-solving and analytical skills for optimizing AI models in high-stakes financial scenarios
  • Strong communication and collaboration skills for cross-team leadership
  • Knowledge of financial regulations (e.g., SOX, Basel III) impacting AI implementations
  • Experience with model monitoring tools like MLflow or Kubeflow
  • Proficiency in agile methodologies and Jira for project management
  • Soft skills in ethical AI development and bias detection

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, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at JP Morgan locations
  • Flexible work arrangements, including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in Python programming, including libraries like NumPy, Pandas, and Scikit-learnintermediate
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Kerasintermediate
  • Experience with data processing tools like Apache Spark or Hadoop for large-scale financial datasetsintermediate
  • Knowledge of cloud computing platforms (AWS, GCP, Azure) for ML model deploymentintermediate
  • Strong understanding of machine learning algorithms, including supervised/unsupervised learning and deep learningintermediate
  • Familiarity with SQL, NoSQL databases, and ETL processes in a financial data environmentintermediate
  • Skills in version control (Git) and CI/CD pipelines (Jenkins, GitHub Actions)intermediate
  • Ability to work with APIs and microservices architecture for integrating AI into banking applicationsintermediate
  • Excellent problem-solving and analytical skills for optimizing AI models in high-stakes financial scenariosintermediate
  • Strong communication and collaboration skills for cross-team leadershipintermediate
  • Knowledge of financial regulations (e.g., SOX, Basel III) impacting AI implementationsintermediate
  • Experience with model monitoring tools like MLflow or Kubeflowintermediate
  • Proficiency in agile methodologies and Jira for project managementintermediate
  • Soft skills in ethical AI development and bias detectionintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of professional experience in software engineering with a focus on Python development (experience)
  • Proven track record in designing, developing, and deploying AI/ML solutions in a production environment (experience)
  • Strong understanding of financial services domain, including regulatory compliance and risk management (experience)
  • Experience with scalable AI/ML frameworks and tools in a large enterprise setting (experience)
  • Ability to lead cross-functional teams and mentor junior engineers (experience)
  • U.S. work authorization required; willingness to work in Jersey City, NJ (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Experience in financial modeling, fraud detection, or algorithmic trading using AI/ML (experience)
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure (experience)
  • Certifications in Python, AI/ML (e.g., TensorFlow Developer Certificate) (experience)
  • Prior leadership role in agile teams delivering AI products for banking or fintech (experience)

Responsibilities

  • Lead the design and development of AI/ML models using Python to support financial products across JP Morgan's lines of business, including investment banking and consumer banking
  • Collaborate with data scientists, product managers, and stakeholders to define requirements for AI-driven solutions that enhance risk assessment and customer personalization
  • Deploy and maintain scalable AI/ML pipelines in cloud environments, ensuring high availability and performance in a regulated financial services context
  • Mentor and guide a team of Python engineers, fostering best practices in code quality, testing, and DevOps for AI applications
  • Integrate AI/ML models with JP Morgan's core banking systems, adhering to data privacy standards like GDPR and SEC regulations
  • Conduct code reviews, optimize algorithms for efficiency, and troubleshoot production issues in real-time trading or fraud detection systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to financial services innovations at JP Morgan
  • Contribute to the full software development lifecycle, from prototyping to monitoring post-deployment performance metrics
  • Ensure ethical AI practices, mitigating biases in models used for credit scoring or market predictions

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, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at JP Morgan locations
  • general: Flexible work arrangements, including hybrid options in Jersey City

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JP Morgan Chase logo

Python Lead Software Engineer- AI / ML

JP Morgan Chase

Software and Technology Jobs

Python Lead Software Engineer- AI / ML

full-timePosted: Nov 21, 2025

Job Description

Python Lead Software Engineer- AI / ML

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to transform the financial services industry. As a Python Lead Software Engineer in our AI/ML team based in Jersey City, NJ, you will play a pivotal role in designing, developing, deploying, and maintaining cutting-edge AI products that drive innovation across our diverse lines of business, from consumer banking to investment management. This position offers the opportunity to lead high-impact projects that enhance customer experiences, mitigate risks, and optimize trading strategies in one of the world's largest financial institutions. You will collaborate with elite teams of engineers, data scientists, and domain experts to build scalable solutions that adhere to stringent regulatory standards while pushing the boundaries of what's possible with AI in finance. In this leadership role, you will architect Python-based AI/ML pipelines that process vast amounts of financial data, enabling predictive analytics for fraud detection, personalized financial advice, and algorithmic decision-making. Your responsibilities will include mentoring a team of developers, ensuring code quality through rigorous testing and reviews, and integrating models into JP Morgan's robust technology ecosystem. You will tackle complex challenges such as model interpretability for compliance purposes and real-time performance in volatile markets, all while fostering an inclusive environment that values diverse perspectives and innovative thinking. Joining JP Morgan Chase means being part of a global leader committed to responsible AI innovation. We provide unparalleled resources for professional growth, including access to advanced tools, ongoing training, and opportunities to contribute to industry-shaping initiatives. If you are a passionate Python expert with a vision for AI in financial services, this role in Jersey City offers a dynamic platform to advance your career and make a tangible impact on millions of customers worldwide.

Key Responsibilities

  • Lead the design and development of AI/ML models using Python to support financial products across JP Morgan's lines of business, including investment banking and consumer banking
  • Collaborate with data scientists, product managers, and stakeholders to define requirements for AI-driven solutions that enhance risk assessment and customer personalization
  • Deploy and maintain scalable AI/ML pipelines in cloud environments, ensuring high availability and performance in a regulated financial services context
  • Mentor and guide a team of Python engineers, fostering best practices in code quality, testing, and DevOps for AI applications
  • Integrate AI/ML models with JP Morgan's core banking systems, adhering to data privacy standards like GDPR and SEC regulations
  • Conduct code reviews, optimize algorithms for efficiency, and troubleshoot production issues in real-time trading or fraud detection systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to financial services innovations at JP Morgan
  • Contribute to the full software development lifecycle, from prototyping to monitoring post-deployment performance metrics
  • Ensure ethical AI practices, mitigating biases in models used for credit scoring or market predictions

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of professional experience in software engineering with a focus on Python development
  • Proven track record in designing, developing, and deploying AI/ML solutions in a production environment
  • Strong understanding of financial services domain, including regulatory compliance and risk management
  • Experience with scalable AI/ML frameworks and tools in a large enterprise setting
  • Ability to lead cross-functional teams and mentor junior engineers
  • U.S. work authorization required; willingness to work in Jersey City, NJ

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Experience in financial modeling, fraud detection, or algorithmic trading using AI/ML
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure
  • Certifications in Python, AI/ML (e.g., TensorFlow Developer Certificate)
  • Prior leadership role in agile teams delivering AI products for banking or fintech

Required Skills

  • Expertise in Python programming, including libraries like NumPy, Pandas, and Scikit-learn
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras
  • Experience with data processing tools like Apache Spark or Hadoop for large-scale financial datasets
  • Knowledge of cloud computing platforms (AWS, GCP, Azure) for ML model deployment
  • Strong understanding of machine learning algorithms, including supervised/unsupervised learning and deep learning
  • Familiarity with SQL, NoSQL databases, and ETL processes in a financial data environment
  • Skills in version control (Git) and CI/CD pipelines (Jenkins, GitHub Actions)
  • Ability to work with APIs and microservices architecture for integrating AI into banking applications
  • Excellent problem-solving and analytical skills for optimizing AI models in high-stakes financial scenarios
  • Strong communication and collaboration skills for cross-team leadership
  • Knowledge of financial regulations (e.g., SOX, Basel III) impacting AI implementations
  • Experience with model monitoring tools like MLflow or Kubeflow
  • Proficiency in agile methodologies and Jira for project management
  • Soft skills in ethical AI development and bias detection

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, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at JP Morgan locations
  • Flexible work arrangements, including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in Python programming, including libraries like NumPy, Pandas, and Scikit-learnintermediate
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Kerasintermediate
  • Experience with data processing tools like Apache Spark or Hadoop for large-scale financial datasetsintermediate
  • Knowledge of cloud computing platforms (AWS, GCP, Azure) for ML model deploymentintermediate
  • Strong understanding of machine learning algorithms, including supervised/unsupervised learning and deep learningintermediate
  • Familiarity with SQL, NoSQL databases, and ETL processes in a financial data environmentintermediate
  • Skills in version control (Git) and CI/CD pipelines (Jenkins, GitHub Actions)intermediate
  • Ability to work with APIs and microservices architecture for integrating AI into banking applicationsintermediate
  • Excellent problem-solving and analytical skills for optimizing AI models in high-stakes financial scenariosintermediate
  • Strong communication and collaboration skills for cross-team leadershipintermediate
  • Knowledge of financial regulations (e.g., SOX, Basel III) impacting AI implementationsintermediate
  • Experience with model monitoring tools like MLflow or Kubeflowintermediate
  • Proficiency in agile methodologies and Jira for project managementintermediate
  • Soft skills in ethical AI development and bias detectionintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of professional experience in software engineering with a focus on Python development (experience)
  • Proven track record in designing, developing, and deploying AI/ML solutions in a production environment (experience)
  • Strong understanding of financial services domain, including regulatory compliance and risk management (experience)
  • Experience with scalable AI/ML frameworks and tools in a large enterprise setting (experience)
  • Ability to lead cross-functional teams and mentor junior engineers (experience)
  • U.S. work authorization required; willingness to work in Jersey City, NJ (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Experience in financial modeling, fraud detection, or algorithmic trading using AI/ML (experience)
  • Familiarity with JP Morgan's tech stack, including cloud platforms like AWS or Azure (experience)
  • Certifications in Python, AI/ML (e.g., TensorFlow Developer Certificate) (experience)
  • Prior leadership role in agile teams delivering AI products for banking or fintech (experience)

Responsibilities

  • Lead the design and development of AI/ML models using Python to support financial products across JP Morgan's lines of business, including investment banking and consumer banking
  • Collaborate with data scientists, product managers, and stakeholders to define requirements for AI-driven solutions that enhance risk assessment and customer personalization
  • Deploy and maintain scalable AI/ML pipelines in cloud environments, ensuring high availability and performance in a regulated financial services context
  • Mentor and guide a team of Python engineers, fostering best practices in code quality, testing, and DevOps for AI applications
  • Integrate AI/ML models with JP Morgan's core banking systems, adhering to data privacy standards like GDPR and SEC regulations
  • Conduct code reviews, optimize algorithms for efficiency, and troubleshoot production issues in real-time trading or fraud detection systems
  • Stay abreast of emerging AI technologies and evaluate their applicability to financial services innovations at JP Morgan
  • Contribute to the full software development lifecycle, from prototyping to monitoring post-deployment performance metrics
  • Ensure ethical AI practices, mitigating biases in models used for credit scoring or market predictions

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, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at JP Morgan locations
  • general: Flexible work arrangements, including hybrid options in Jersey City

Target Your Resume for "Python Lead Software Engineer- AI / ML" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Python Lead Software Engineer- AI / ML. Takes only 15 seconds!

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

Check Your ATS Score for "Python Lead Software Engineer- AI / ML" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Python Lead Software Engineer- AI / ML @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.