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Lead Python Software Engineer - AI - Senior Associate/VP

JP Morgan Chase

Software and Technology Jobs

Lead Python Software Engineer - AI - Senior Associate/VP

full-timePosted: Oct 27, 2025

Job Description

Lead Python Software Engineer - AI - Senior Associate/VP

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge AI technologies to drive efficiency, security, and client satisfaction. As a Lead Python Software Engineer - AI - Senior Associate/VP, you will play a pivotal role in our London-based technology team, developing and deploying AI solutions that power everything from fraud detection to personalized wealth management. Working within an agile framework, you will collaborate with diverse teams to deliver robust, scalable applications that adhere to the highest standards of regulatory compliance and data integrity in the global banking sector. This position offers the opportunity to lead transformative projects that directly impact millions of clients and contribute to the firm's leadership in fintech innovation. Your day-to-day responsibilities will involve architecting AI models using Python, integrating them with JPMorgan's proprietary platforms, and ensuring seamless performance in production environments. You will mentor engineers, conduct thorough code reviews, and champion best practices in machine learning deployment, all while navigating the complexities of financial data privacy and risk management. This role demands a blend of technical expertise and strategic thinking, as you translate complex business challenges—such as real-time market analysis or predictive analytics—into actionable AI-driven solutions that enhance operational resilience and client trust. Joining JPMorgan Chase means becoming part of a world-class organization committed to your professional growth and well-being. We offer a dynamic, inclusive culture in the heart of London's financial district, with access to state-of-the-art resources and global networks. If you are passionate about AI's potential in finance and ready to lead at the intersection of technology and banking, this role provides the platform to make a lasting impact while advancing your career in one of the most prestigious firms in the industry.

Key Responsibilities

  • Design, develop, and deploy AI-driven solutions using Python to support critical financial services applications at JPMorgan Chase
  • Lead agile teams in building scalable machine learning models for areas like risk assessment, fraud detection, and personalized banking
  • Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical implementations
  • Optimize AI systems for performance, ensuring compliance with financial regulations and data privacy standards
  • Mentor and guide junior engineers, fostering a culture of innovation and best practices in software engineering
  • Conduct code reviews, implement CI/CD pipelines, and maintain high-quality, secure codebases
  • Integrate AI technologies with existing JPMorgan platforms, such as trading systems or customer analytics tools
  • Monitor and troubleshoot production AI models, driving continuous improvements in efficiency and accuracy
  • Stay abreast of emerging AI trends and contribute to internal knowledge sharing within the firm
  • Participate in cross-team initiatives to enhance technological capabilities in the financial services domain

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of professional software engineering experience with a focus on Python development
  • Proven experience in AI/ML implementation, including model deployment in production environments
  • Strong understanding of financial services technologies, such as data security and regulatory compliance (e.g., GDPR, MiFID II)
  • Experience working in agile methodologies within cross-functional teams
  • Demonstrated ability to lead technical projects and mentor junior engineers
  • Proficiency in cloud platforms like AWS or Azure, with emphasis on scalable AI solutions

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Experience in financial modeling or quantitative analysis for banking applications
  • Familiarity with JPMorgan Chase's internal tools and frameworks for AI development
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional Data Engineer)
  • Prior work in high-stakes environments involving risk management or fraud detection systems

Required Skills

  • Expertise in Python programming and libraries like TensorFlow, PyTorch, and scikit-learn
  • Strong knowledge of machine learning algorithms and AI model lifecycle management
  • Proficiency in data processing tools such as Pandas, NumPy, and SQL
  • Experience with cloud computing services (AWS, GCP) for AI deployment
  • Understanding of DevOps practices, including Docker, Kubernetes, and Git
  • Familiarity with financial data standards and APIs in banking
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities in team settings
  • Knowledge of cybersecurity principles for secure AI applications
  • Agile and Scrum methodologies for project delivery
  • Experience with big data technologies like Hadoop or Spark
  • Ability to handle large-scale datasets in financial contexts
  • Leadership and mentoring skills for technical teams
  • Adaptability to fast-paced, regulated environments

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous retirement savings plan with company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • Employee stock purchase plan and other financial wellness programs
  • Hybrid work model with flexibility for work-life balance in London
  • Wellness programs, including gym memberships and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 GBP / 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 and libraries like TensorFlow, PyTorch, and scikit-learnintermediate
  • Strong knowledge of machine learning algorithms and AI model lifecycle managementintermediate
  • Proficiency in data processing tools such as Pandas, NumPy, and SQLintermediate
  • Experience with cloud computing services (AWS, GCP) for AI deploymentintermediate
  • Understanding of DevOps practices, including Docker, Kubernetes, and Gitintermediate
  • Familiarity with financial data standards and APIs in bankingintermediate
  • Excellent problem-solving and analytical skillsintermediate
  • Strong communication and collaboration abilities in team settingsintermediate
  • Knowledge of cybersecurity principles for secure AI applicationsintermediate
  • Agile and Scrum methodologies for project deliveryintermediate
  • Experience with big data technologies like Hadoop or Sparkintermediate
  • Ability to handle large-scale datasets in financial contextsintermediate
  • Leadership and mentoring skills for technical teamsintermediate
  • Adaptability to fast-paced, regulated environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of professional software engineering experience with a focus on Python development (experience)
  • Proven experience in AI/ML implementation, including model deployment in production environments (experience)
  • Strong understanding of financial services technologies, such as data security and regulatory compliance (e.g., GDPR, MiFID II) (experience)
  • Experience working in agile methodologies within cross-functional teams (experience)
  • Demonstrated ability to lead technical projects and mentor junior engineers (experience)
  • Proficiency in cloud platforms like AWS or Azure, with emphasis on scalable AI solutions (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Experience in financial modeling or quantitative analysis for banking applications (experience)
  • Familiarity with JPMorgan Chase's internal tools and frameworks for AI development (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional Data Engineer) (experience)
  • Prior work in high-stakes environments involving risk management or fraud detection systems (experience)

Responsibilities

  • Design, develop, and deploy AI-driven solutions using Python to support critical financial services applications at JPMorgan Chase
  • Lead agile teams in building scalable machine learning models for areas like risk assessment, fraud detection, and personalized banking
  • Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical implementations
  • Optimize AI systems for performance, ensuring compliance with financial regulations and data privacy standards
  • Mentor and guide junior engineers, fostering a culture of innovation and best practices in software engineering
  • Conduct code reviews, implement CI/CD pipelines, and maintain high-quality, secure codebases
  • Integrate AI technologies with existing JPMorgan platforms, such as trading systems or customer analytics tools
  • Monitor and troubleshoot production AI models, driving continuous improvements in efficiency and accuracy
  • Stay abreast of emerging AI trends and contribute to internal knowledge sharing within the firm
  • Participate in cross-team initiatives to enhance technological capabilities in the financial services domain

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous retirement savings plan with company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • general: Employee stock purchase plan and other financial wellness programs
  • general: Hybrid work model with flexibility for work-life balance in London
  • general: Wellness programs, including gym memberships and mental health support

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JP Morgan Chase logo

Lead Python Software Engineer - AI - Senior Associate/VP

JP Morgan Chase

Software and Technology Jobs

Lead Python Software Engineer - AI - Senior Associate/VP

full-timePosted: Oct 27, 2025

Job Description

Lead Python Software Engineer - AI - Senior Associate/VP

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge AI technologies to drive efficiency, security, and client satisfaction. As a Lead Python Software Engineer - AI - Senior Associate/VP, you will play a pivotal role in our London-based technology team, developing and deploying AI solutions that power everything from fraud detection to personalized wealth management. Working within an agile framework, you will collaborate with diverse teams to deliver robust, scalable applications that adhere to the highest standards of regulatory compliance and data integrity in the global banking sector. This position offers the opportunity to lead transformative projects that directly impact millions of clients and contribute to the firm's leadership in fintech innovation. Your day-to-day responsibilities will involve architecting AI models using Python, integrating them with JPMorgan's proprietary platforms, and ensuring seamless performance in production environments. You will mentor engineers, conduct thorough code reviews, and champion best practices in machine learning deployment, all while navigating the complexities of financial data privacy and risk management. This role demands a blend of technical expertise and strategic thinking, as you translate complex business challenges—such as real-time market analysis or predictive analytics—into actionable AI-driven solutions that enhance operational resilience and client trust. Joining JPMorgan Chase means becoming part of a world-class organization committed to your professional growth and well-being. We offer a dynamic, inclusive culture in the heart of London's financial district, with access to state-of-the-art resources and global networks. If you are passionate about AI's potential in finance and ready to lead at the intersection of technology and banking, this role provides the platform to make a lasting impact while advancing your career in one of the most prestigious firms in the industry.

Key Responsibilities

  • Design, develop, and deploy AI-driven solutions using Python to support critical financial services applications at JPMorgan Chase
  • Lead agile teams in building scalable machine learning models for areas like risk assessment, fraud detection, and personalized banking
  • Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical implementations
  • Optimize AI systems for performance, ensuring compliance with financial regulations and data privacy standards
  • Mentor and guide junior engineers, fostering a culture of innovation and best practices in software engineering
  • Conduct code reviews, implement CI/CD pipelines, and maintain high-quality, secure codebases
  • Integrate AI technologies with existing JPMorgan platforms, such as trading systems or customer analytics tools
  • Monitor and troubleshoot production AI models, driving continuous improvements in efficiency and accuracy
  • Stay abreast of emerging AI trends and contribute to internal knowledge sharing within the firm
  • Participate in cross-team initiatives to enhance technological capabilities in the financial services domain

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of professional software engineering experience with a focus on Python development
  • Proven experience in AI/ML implementation, including model deployment in production environments
  • Strong understanding of financial services technologies, such as data security and regulatory compliance (e.g., GDPR, MiFID II)
  • Experience working in agile methodologies within cross-functional teams
  • Demonstrated ability to lead technical projects and mentor junior engineers
  • Proficiency in cloud platforms like AWS or Azure, with emphasis on scalable AI solutions

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Experience in financial modeling or quantitative analysis for banking applications
  • Familiarity with JPMorgan Chase's internal tools and frameworks for AI development
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional Data Engineer)
  • Prior work in high-stakes environments involving risk management or fraud detection systems

Required Skills

  • Expertise in Python programming and libraries like TensorFlow, PyTorch, and scikit-learn
  • Strong knowledge of machine learning algorithms and AI model lifecycle management
  • Proficiency in data processing tools such as Pandas, NumPy, and SQL
  • Experience with cloud computing services (AWS, GCP) for AI deployment
  • Understanding of DevOps practices, including Docker, Kubernetes, and Git
  • Familiarity with financial data standards and APIs in banking
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities in team settings
  • Knowledge of cybersecurity principles for secure AI applications
  • Agile and Scrum methodologies for project delivery
  • Experience with big data technologies like Hadoop or Spark
  • Ability to handle large-scale datasets in financial contexts
  • Leadership and mentoring skills for technical teams
  • Adaptability to fast-paced, regulated environments

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous retirement savings plan with company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • Employee stock purchase plan and other financial wellness programs
  • Hybrid work model with flexibility for work-life balance in London
  • Wellness programs, including gym memberships and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 GBP / 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 and libraries like TensorFlow, PyTorch, and scikit-learnintermediate
  • Strong knowledge of machine learning algorithms and AI model lifecycle managementintermediate
  • Proficiency in data processing tools such as Pandas, NumPy, and SQLintermediate
  • Experience with cloud computing services (AWS, GCP) for AI deploymentintermediate
  • Understanding of DevOps practices, including Docker, Kubernetes, and Gitintermediate
  • Familiarity with financial data standards and APIs in bankingintermediate
  • Excellent problem-solving and analytical skillsintermediate
  • Strong communication and collaboration abilities in team settingsintermediate
  • Knowledge of cybersecurity principles for secure AI applicationsintermediate
  • Agile and Scrum methodologies for project deliveryintermediate
  • Experience with big data technologies like Hadoop or Sparkintermediate
  • Ability to handle large-scale datasets in financial contextsintermediate
  • Leadership and mentoring skills for technical teamsintermediate
  • Adaptability to fast-paced, regulated environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of professional software engineering experience with a focus on Python development (experience)
  • Proven experience in AI/ML implementation, including model deployment in production environments (experience)
  • Strong understanding of financial services technologies, such as data security and regulatory compliance (e.g., GDPR, MiFID II) (experience)
  • Experience working in agile methodologies within cross-functional teams (experience)
  • Demonstrated ability to lead technical projects and mentor junior engineers (experience)
  • Proficiency in cloud platforms like AWS or Azure, with emphasis on scalable AI solutions (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Experience in financial modeling or quantitative analysis for banking applications (experience)
  • Familiarity with JPMorgan Chase's internal tools and frameworks for AI development (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional Data Engineer) (experience)
  • Prior work in high-stakes environments involving risk management or fraud detection systems (experience)

Responsibilities

  • Design, develop, and deploy AI-driven solutions using Python to support critical financial services applications at JPMorgan Chase
  • Lead agile teams in building scalable machine learning models for areas like risk assessment, fraud detection, and personalized banking
  • Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical implementations
  • Optimize AI systems for performance, ensuring compliance with financial regulations and data privacy standards
  • Mentor and guide junior engineers, fostering a culture of innovation and best practices in software engineering
  • Conduct code reviews, implement CI/CD pipelines, and maintain high-quality, secure codebases
  • Integrate AI technologies with existing JPMorgan platforms, such as trading systems or customer analytics tools
  • Monitor and troubleshoot production AI models, driving continuous improvements in efficiency and accuracy
  • Stay abreast of emerging AI trends and contribute to internal knowledge sharing within the firm
  • Participate in cross-team initiatives to enhance technological capabilities in the financial services domain

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous retirement savings plan with company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • general: Employee stock purchase plan and other financial wellness programs
  • general: Hybrid work model with flexibility for work-life balance in London
  • general: Wellness programs, including gym memberships and mental health support

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

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

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

Check Your ATS Score for "Lead Python Software Engineer - AI - Senior Associate/VP" , 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 Lead Python Software Engineer - AI - Senior Associate/VP @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.