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2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track

JP Morgan Chase

Software and Technology Jobs

2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track

full-timePosted: Nov 12, 2025

Job Description

2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track

Location: Plano, TX, United States

Job Family: Seasonal Employee

About the Role

The 2026 JPMorgan Chase Fellowship Program - Firmwide - Data Science Track is an immersive five-week paid summer fellowship designed for high-potential undergraduate and graduate students passionate about leveraging data science in the financial services industry. Hosted in our state-of-the-art office in Plano, TX, this program offers participants a unique opportunity to dive into real-world challenges at one of the world's largest and most innovative financial institutions. As a fellow, you will work alongside seasoned data scientists and analysts on projects that directly impact JPMorgan Chase's core businesses, including investment banking, consumer banking, and asset management. Through hands-on experiences, you will apply advanced analytics to solve complex problems such as enhancing fraud detection algorithms, optimizing trading strategies, and improving customer personalization in a highly regulated environment. During the fellowship, you will engage in collaborative team projects that mirror the day-to-day responsibilities of full-time data scientists at JPMorgan Chase. Expect to analyze vast datasets from global markets, build predictive models using machine learning, and create actionable insights that support strategic decision-making. The program emphasizes practical application, where you will use industry-standard tools to develop scalable solutions while adhering to strict data privacy and compliance standards unique to the financial sector. Mentorship from experts will guide you through the nuances of applying data science to financial risk management, regulatory reporting, and innovative fintech solutions, fostering both technical proficiency and business acumen. Beyond technical work, the fellowship includes firmwide networking events, professional development workshops, and presentations to senior leadership, providing a holistic view of career opportunities at JPMorgan Chase. This program not only builds your resume with prestigious experience but also positions you for potential full-time roles upon graduation. Join us in Plano, TX, to contribute to the future of finance through data-driven innovation and gain invaluable insights into how JPMorgan Chase leads the industry in technological advancement and client service excellence.

Key Responsibilities

  • Collaborate with data science teams to analyze large datasets from JPMorgan Chase's financial operations, including transaction data, market trends, and customer behaviors
  • Develop and implement machine learning models to support risk assessment, fraud detection, and predictive analytics in banking services
  • Conduct exploratory data analysis to identify patterns and insights that drive business decisions in areas like investment banking and asset management
  • Build data pipelines and visualizations using tools like Tableau or Power BI to communicate findings to stakeholders
  • Assist in the application of AI techniques to enhance algorithmic trading strategies and portfolio optimization
  • Participate in cross-functional projects involving compliance, cybersecurity, and customer experience within the financial services ecosystem
  • Contribute to code reviews and documentation to ensure scalable and maintainable data solutions
  • Engage in mentorship sessions and firmwide networking events to understand JPMorgan Chase's culture and career paths
  • Support real-world problem-solving initiatives, such as improving credit risk models or automating regulatory reporting
  • Present project outcomes to senior leaders, demonstrating impact on JPMorgan Chase's global operations

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with an expected graduation date between December 2025 and August 2026
  • Strong academic record, typically a minimum GPA of 3.2 on a 4.0 scale
  • Demonstrated proficiency in programming languages such as Python, R, or SQL
  • Experience with data analysis, machine learning, or statistical modeling through coursework, projects, or internships
  • Authorization to work in the United States without sponsorship
  • Ability to commit to a full-time, five-week program in Plano, TX during the summer of 2026
  • Excellent communication skills and ability to collaborate in a team environment

Preferred Qualifications

  • Prior internship or research experience in data science or financial analytics
  • Familiarity with big data technologies like Hadoop, Spark, or cloud platforms such as AWS or Azure
  • Participation in data science competitions, hackathons, or relevant extracurricular activities
  • Knowledge of financial markets, risk management, or regulatory compliance in banking
  • Advanced coursework in machine learning, AI, or econometrics

Required Skills

  • Proficiency in Python or R for data manipulation and analysis
  • SQL expertise for querying large financial databases
  • Machine learning frameworks like TensorFlow, Scikit-learn, or PyTorch
  • Statistical analysis and modeling techniques
  • Data visualization tools such as Tableau, Matplotlib, or ggplot2
  • Big data processing with Spark or Hadoop
  • Cloud computing platforms (AWS, GCP, or Azure)
  • Version control systems like Git
  • Problem-solving and analytical thinking
  • Strong written and verbal communication
  • Team collaboration and adaptability
  • Attention to detail in handling sensitive financial data
  • Time management for project deadlines
  • Basic understanding of financial concepts like risk and compliance
  • Ethical data handling and privacy awareness

Benefits

  • Competitive paid compensation for the full five-week duration, reflecting JPMorgan Chase's commitment to early career talent
  • Hands-on exposure to cutting-edge data science projects in a leading global financial institution
  • Mentorship from experienced data scientists and business leaders to accelerate professional growth
  • Networking opportunities with peers and executives across JPMorgan Chase's diverse business lines
  • Potential pathway to full-time roles through the firm's early career programs post-fellowship
  • Access to JPMorgan Chase's wellness programs, including mental health resources and fitness reimbursements
  • Comprehensive professional development workshops on financial industry trends and technical skills
  • Relocation assistance and housing support for participants traveling to Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, US

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python or R for data manipulation and analysisintermediate
  • SQL expertise for querying large financial databasesintermediate
  • Machine learning frameworks like TensorFlow, Scikit-learn, or PyTorchintermediate
  • Statistical analysis and modeling techniquesintermediate
  • Data visualization tools such as Tableau, Matplotlib, or ggplot2intermediate
  • Big data processing with Spark or Hadoopintermediate
  • Cloud computing platforms (AWS, GCP, or Azure)intermediate
  • Version control systems like Gitintermediate
  • Problem-solving and analytical thinkingintermediate
  • Strong written and verbal communicationintermediate
  • Team collaboration and adaptabilityintermediate
  • Attention to detail in handling sensitive financial dataintermediate
  • Time management for project deadlinesintermediate
  • Basic understanding of financial concepts like risk and complianceintermediate
  • Ethical data handling and privacy awarenessintermediate

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with an expected graduation date between December 2025 and August 2026 (experience)
  • Strong academic record, typically a minimum GPA of 3.2 on a 4.0 scale (experience)
  • Demonstrated proficiency in programming languages such as Python, R, or SQL (experience)
  • Experience with data analysis, machine learning, or statistical modeling through coursework, projects, or internships (experience)
  • Authorization to work in the United States without sponsorship (experience)
  • Ability to commit to a full-time, five-week program in Plano, TX during the summer of 2026 (experience)
  • Excellent communication skills and ability to collaborate in a team environment (experience)

Preferred Qualifications

  • Prior internship or research experience in data science or financial analytics (experience)
  • Familiarity with big data technologies like Hadoop, Spark, or cloud platforms such as AWS or Azure (experience)
  • Participation in data science competitions, hackathons, or relevant extracurricular activities (experience)
  • Knowledge of financial markets, risk management, or regulatory compliance in banking (experience)
  • Advanced coursework in machine learning, AI, or econometrics (experience)

Responsibilities

  • Collaborate with data science teams to analyze large datasets from JPMorgan Chase's financial operations, including transaction data, market trends, and customer behaviors
  • Develop and implement machine learning models to support risk assessment, fraud detection, and predictive analytics in banking services
  • Conduct exploratory data analysis to identify patterns and insights that drive business decisions in areas like investment banking and asset management
  • Build data pipelines and visualizations using tools like Tableau or Power BI to communicate findings to stakeholders
  • Assist in the application of AI techniques to enhance algorithmic trading strategies and portfolio optimization
  • Participate in cross-functional projects involving compliance, cybersecurity, and customer experience within the financial services ecosystem
  • Contribute to code reviews and documentation to ensure scalable and maintainable data solutions
  • Engage in mentorship sessions and firmwide networking events to understand JPMorgan Chase's culture and career paths
  • Support real-world problem-solving initiatives, such as improving credit risk models or automating regulatory reporting
  • Present project outcomes to senior leaders, demonstrating impact on JPMorgan Chase's global operations

Benefits

  • general: Competitive paid compensation for the full five-week duration, reflecting JPMorgan Chase's commitment to early career talent
  • general: Hands-on exposure to cutting-edge data science projects in a leading global financial institution
  • general: Mentorship from experienced data scientists and business leaders to accelerate professional growth
  • general: Networking opportunities with peers and executives across JPMorgan Chase's diverse business lines
  • general: Potential pathway to full-time roles through the firm's early career programs post-fellowship
  • general: Access to JPMorgan Chase's wellness programs, including mental health resources and fitness reimbursements
  • general: Comprehensive professional development workshops on financial industry trends and technical skills
  • general: Relocation assistance and housing support for participants traveling to Plano, TX

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JP Morgan Chase logo

2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track

JP Morgan Chase

Software and Technology Jobs

2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track

full-timePosted: Nov 12, 2025

Job Description

2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track

Location: Plano, TX, United States

Job Family: Seasonal Employee

About the Role

The 2026 JPMorgan Chase Fellowship Program - Firmwide - Data Science Track is an immersive five-week paid summer fellowship designed for high-potential undergraduate and graduate students passionate about leveraging data science in the financial services industry. Hosted in our state-of-the-art office in Plano, TX, this program offers participants a unique opportunity to dive into real-world challenges at one of the world's largest and most innovative financial institutions. As a fellow, you will work alongside seasoned data scientists and analysts on projects that directly impact JPMorgan Chase's core businesses, including investment banking, consumer banking, and asset management. Through hands-on experiences, you will apply advanced analytics to solve complex problems such as enhancing fraud detection algorithms, optimizing trading strategies, and improving customer personalization in a highly regulated environment. During the fellowship, you will engage in collaborative team projects that mirror the day-to-day responsibilities of full-time data scientists at JPMorgan Chase. Expect to analyze vast datasets from global markets, build predictive models using machine learning, and create actionable insights that support strategic decision-making. The program emphasizes practical application, where you will use industry-standard tools to develop scalable solutions while adhering to strict data privacy and compliance standards unique to the financial sector. Mentorship from experts will guide you through the nuances of applying data science to financial risk management, regulatory reporting, and innovative fintech solutions, fostering both technical proficiency and business acumen. Beyond technical work, the fellowship includes firmwide networking events, professional development workshops, and presentations to senior leadership, providing a holistic view of career opportunities at JPMorgan Chase. This program not only builds your resume with prestigious experience but also positions you for potential full-time roles upon graduation. Join us in Plano, TX, to contribute to the future of finance through data-driven innovation and gain invaluable insights into how JPMorgan Chase leads the industry in technological advancement and client service excellence.

Key Responsibilities

  • Collaborate with data science teams to analyze large datasets from JPMorgan Chase's financial operations, including transaction data, market trends, and customer behaviors
  • Develop and implement machine learning models to support risk assessment, fraud detection, and predictive analytics in banking services
  • Conduct exploratory data analysis to identify patterns and insights that drive business decisions in areas like investment banking and asset management
  • Build data pipelines and visualizations using tools like Tableau or Power BI to communicate findings to stakeholders
  • Assist in the application of AI techniques to enhance algorithmic trading strategies and portfolio optimization
  • Participate in cross-functional projects involving compliance, cybersecurity, and customer experience within the financial services ecosystem
  • Contribute to code reviews and documentation to ensure scalable and maintainable data solutions
  • Engage in mentorship sessions and firmwide networking events to understand JPMorgan Chase's culture and career paths
  • Support real-world problem-solving initiatives, such as improving credit risk models or automating regulatory reporting
  • Present project outcomes to senior leaders, demonstrating impact on JPMorgan Chase's global operations

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with an expected graduation date between December 2025 and August 2026
  • Strong academic record, typically a minimum GPA of 3.2 on a 4.0 scale
  • Demonstrated proficiency in programming languages such as Python, R, or SQL
  • Experience with data analysis, machine learning, or statistical modeling through coursework, projects, or internships
  • Authorization to work in the United States without sponsorship
  • Ability to commit to a full-time, five-week program in Plano, TX during the summer of 2026
  • Excellent communication skills and ability to collaborate in a team environment

Preferred Qualifications

  • Prior internship or research experience in data science or financial analytics
  • Familiarity with big data technologies like Hadoop, Spark, or cloud platforms such as AWS or Azure
  • Participation in data science competitions, hackathons, or relevant extracurricular activities
  • Knowledge of financial markets, risk management, or regulatory compliance in banking
  • Advanced coursework in machine learning, AI, or econometrics

Required Skills

  • Proficiency in Python or R for data manipulation and analysis
  • SQL expertise for querying large financial databases
  • Machine learning frameworks like TensorFlow, Scikit-learn, or PyTorch
  • Statistical analysis and modeling techniques
  • Data visualization tools such as Tableau, Matplotlib, or ggplot2
  • Big data processing with Spark or Hadoop
  • Cloud computing platforms (AWS, GCP, or Azure)
  • Version control systems like Git
  • Problem-solving and analytical thinking
  • Strong written and verbal communication
  • Team collaboration and adaptability
  • Attention to detail in handling sensitive financial data
  • Time management for project deadlines
  • Basic understanding of financial concepts like risk and compliance
  • Ethical data handling and privacy awareness

Benefits

  • Competitive paid compensation for the full five-week duration, reflecting JPMorgan Chase's commitment to early career talent
  • Hands-on exposure to cutting-edge data science projects in a leading global financial institution
  • Mentorship from experienced data scientists and business leaders to accelerate professional growth
  • Networking opportunities with peers and executives across JPMorgan Chase's diverse business lines
  • Potential pathway to full-time roles through the firm's early career programs post-fellowship
  • Access to JPMorgan Chase's wellness programs, including mental health resources and fitness reimbursements
  • Comprehensive professional development workshops on financial industry trends and technical skills
  • Relocation assistance and housing support for participants traveling to Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, US

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python or R for data manipulation and analysisintermediate
  • SQL expertise for querying large financial databasesintermediate
  • Machine learning frameworks like TensorFlow, Scikit-learn, or PyTorchintermediate
  • Statistical analysis and modeling techniquesintermediate
  • Data visualization tools such as Tableau, Matplotlib, or ggplot2intermediate
  • Big data processing with Spark or Hadoopintermediate
  • Cloud computing platforms (AWS, GCP, or Azure)intermediate
  • Version control systems like Gitintermediate
  • Problem-solving and analytical thinkingintermediate
  • Strong written and verbal communicationintermediate
  • Team collaboration and adaptabilityintermediate
  • Attention to detail in handling sensitive financial dataintermediate
  • Time management for project deadlinesintermediate
  • Basic understanding of financial concepts like risk and complianceintermediate
  • Ethical data handling and privacy awarenessintermediate

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with an expected graduation date between December 2025 and August 2026 (experience)
  • Strong academic record, typically a minimum GPA of 3.2 on a 4.0 scale (experience)
  • Demonstrated proficiency in programming languages such as Python, R, or SQL (experience)
  • Experience with data analysis, machine learning, or statistical modeling through coursework, projects, or internships (experience)
  • Authorization to work in the United States without sponsorship (experience)
  • Ability to commit to a full-time, five-week program in Plano, TX during the summer of 2026 (experience)
  • Excellent communication skills and ability to collaborate in a team environment (experience)

Preferred Qualifications

  • Prior internship or research experience in data science or financial analytics (experience)
  • Familiarity with big data technologies like Hadoop, Spark, or cloud platforms such as AWS or Azure (experience)
  • Participation in data science competitions, hackathons, or relevant extracurricular activities (experience)
  • Knowledge of financial markets, risk management, or regulatory compliance in banking (experience)
  • Advanced coursework in machine learning, AI, or econometrics (experience)

Responsibilities

  • Collaborate with data science teams to analyze large datasets from JPMorgan Chase's financial operations, including transaction data, market trends, and customer behaviors
  • Develop and implement machine learning models to support risk assessment, fraud detection, and predictive analytics in banking services
  • Conduct exploratory data analysis to identify patterns and insights that drive business decisions in areas like investment banking and asset management
  • Build data pipelines and visualizations using tools like Tableau or Power BI to communicate findings to stakeholders
  • Assist in the application of AI techniques to enhance algorithmic trading strategies and portfolio optimization
  • Participate in cross-functional projects involving compliance, cybersecurity, and customer experience within the financial services ecosystem
  • Contribute to code reviews and documentation to ensure scalable and maintainable data solutions
  • Engage in mentorship sessions and firmwide networking events to understand JPMorgan Chase's culture and career paths
  • Support real-world problem-solving initiatives, such as improving credit risk models or automating regulatory reporting
  • Present project outcomes to senior leaders, demonstrating impact on JPMorgan Chase's global operations

Benefits

  • general: Competitive paid compensation for the full five-week duration, reflecting JPMorgan Chase's commitment to early career talent
  • general: Hands-on exposure to cutting-edge data science projects in a leading global financial institution
  • general: Mentorship from experienced data scientists and business leaders to accelerate professional growth
  • general: Networking opportunities with peers and executives across JPMorgan Chase's diverse business lines
  • general: Potential pathway to full-time roles through the firm's early career programs post-fellowship
  • general: Access to JPMorgan Chase's wellness programs, including mental health resources and fitness reimbursements
  • general: Comprehensive professional development workshops on financial industry trends and technical skills
  • general: Relocation assistance and housing support for participants traveling to Plano, TX

Target Your Resume for "2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for 2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track. Takes only 15 seconds!

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

Check Your ATS Score for "2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track" , 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

Seasonal EmployeeFinancial ServicesBankingJP MorganSeasonal Employee

Answer 10 quick questions to check your fit for 2026 JPMorganChase Fellowship Program - Firmwide - Data Science Track @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.