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2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship

JP Morgan Chase

2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship

JP Morgan Chase logo

JP Morgan Chase

internship

Posted: December 10, 2025

Number of Vacancies: 1

Job Description

2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship

Location: Wilmington, DE, United States

Job Family: Seasonal Employee

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide, committed to helping people and businesses achieve their financial goals. The 2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship offers a unique opportunity for talented students to join our innovative team in Wilmington, DE. As a Seasonal Employee, you will immerse yourself in the dynamic world of risk management within our Consumer & Community Banking division, which serves millions of customers through retail banking, credit cards, mortgages, and auto loans. We seek innovative problem-solvers passionate about leveraging data and analytics to develop complex solutions that mitigate risks and drive business growth in a highly regulated industry. In this 10-week program, you will work alongside experienced risk professionals to build and refine predictive models that support decision-making in consumer lending. Your role will involve hands-on experience with advanced statistical techniques and machine learning to assess credit risk, forecast losses, and ensure compliance with regulations like the Community Reinvestment Act and fair lending laws. You will contribute to real-world projects, such as enhancing fraud detection models or optimizing portfolio risk strategies, gaining exposure to JPMorgan Chase's proprietary tools and vast datasets. This internship is designed to provide a comprehensive understanding of how risk modeling intersects with business strategy in one of the world's largest banks. Beyond technical contributions, you will develop soft skills through mentorship, team collaborations, and presentations to senior leaders. The program emphasizes professional growth, with access to JPMorgan Chase's renowned training resources and networking events that connect you to our global community. Successful interns may receive offers to return as full-time associates in our Risk Management early career programs. If you thrive in a collaborative environment and are eager to apply your quantitative skills to impactful financial challenges, this internship at JPMorgan Chase will launch your career in the heart of Wall Street's innovation.

Key Responsibilities

  • Collaborate with risk modeling teams to develop and validate statistical models for consumer and community banking products, including credit scoring and loss forecasting
  • Analyze large datasets using tools like SQL, Python, or R to identify patterns and risks in lending portfolios
  • Assist in the implementation of machine learning algorithms to enhance model accuracy and predictive power
  • Support stress testing and scenario analysis to ensure compliance with regulatory requirements
  • Document model methodologies, assumptions, and results for internal reviews and audits
  • Contribute to model governance processes, including performance monitoring and recalibration
  • Work cross-functionally with business units to translate risk insights into actionable strategies
  • Participate in innovation projects aimed at improving risk management practices in a global banking environment
  • Present findings and recommendations to senior stakeholders in clear, concise reports

Required Qualifications

  • Pursuing a bachelor's or master's degree in quantitative fields such as Mathematics, Statistics, Economics, Finance, Computer Science, or related disciplines, with an expected graduation date in 2026 or later
  • Strong academic record with a minimum GPA of 3.2 on a 4.0 scale
  • Demonstrated experience or coursework in statistical modeling, data analysis, or risk assessment
  • Proficiency in programming languages and tools used in financial modeling
  • Eligibility to work in the United States without sponsorship
  • Availability for a full-time summer internship in Wilmington, DE
  • Commitment to ethical standards and regulatory compliance in the financial services industry

Preferred Qualifications

  • Prior internship or project experience in financial services, risk management, or banking
  • Knowledge of consumer banking products and credit risk principles
  • Familiarity with regulatory frameworks such as Basel III or Dodd-Frank
  • Participation in data science competitions or quantitative finance clubs
  • Advanced coursework in machine learning or predictive analytics

Required Skills

  • Statistical modeling and quantitative analysis
  • Proficiency in Python, R, or SAS for data manipulation and modeling
  • SQL for querying large financial datasets
  • Machine learning techniques such as regression, decision trees, and neural networks
  • Data visualization tools like Tableau or Power BI
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for presenting complex data to non-technical audiences
  • Attention to detail and accuracy in model validation
  • Team collaboration and adaptability in a fast-paced environment
  • Knowledge of financial risk metrics like PD, LGD, and EAD
  • Time management and ability to handle multiple priorities
  • Ethical judgment in handling sensitive financial data
  • Basic understanding of regulatory reporting in banking
  • Critical thinking for scenario-based risk assessment
  • Proficiency in Microsoft Excel for financial modeling

Benefits

  • Competitive hourly pay and potential for full-time conversion upon program completion
  • Comprehensive health, dental, and vision insurance coverage during the internship
  • 401(k) matching contributions and financial wellness programs
  • Paid time off and flexible work arrangements where applicable
  • Access to JPMorgan Chase's world-class learning and development resources, including online courses and mentorship
  • Networking opportunities with industry leaders and participation in firm-wide events
  • Relocation assistance for eligible interns, including housing stipends in Wilmington, DE
  • Employee discounts on banking products and services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

80,000 - 120,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Statistical modeling and quantitative analysisintermediate
  • Proficiency in Python, R, or SAS for data manipulation and modelingintermediate
  • SQL for querying large financial datasetsintermediate
  • Machine learning techniques such as regression, decision trees, and neural networksintermediate
  • Data visualization tools like Tableau or Power BIintermediate
  • Strong analytical and problem-solving abilitiesintermediate
  • Excellent communication skills for presenting complex data to non-technical audiencesintermediate
  • Attention to detail and accuracy in model validationintermediate
  • Team collaboration and adaptability in a fast-paced environmentintermediate
  • Knowledge of financial risk metrics like PD, LGD, and EADintermediate
  • Time management and ability to handle multiple prioritiesintermediate
  • Ethical judgment in handling sensitive financial dataintermediate
  • Basic understanding of regulatory reporting in bankingintermediate
  • Critical thinking for scenario-based risk assessmentintermediate
  • Proficiency in Microsoft Excel for financial modelingintermediate

Required Qualifications

  • Pursuing a bachelor's or master's degree in quantitative fields such as Mathematics, Statistics, Economics, Finance, Computer Science, or related disciplines, with an expected graduation date in 2026 or later (experience)
  • Strong academic record with a minimum GPA of 3.2 on a 4.0 scale (experience)
  • Demonstrated experience or coursework in statistical modeling, data analysis, or risk assessment (experience)
  • Proficiency in programming languages and tools used in financial modeling (experience)
  • Eligibility to work in the United States without sponsorship (experience)
  • Availability for a full-time summer internship in Wilmington, DE (experience)
  • Commitment to ethical standards and regulatory compliance in the financial services industry (experience)

Preferred Qualifications

  • Prior internship or project experience in financial services, risk management, or banking (experience)
  • Knowledge of consumer banking products and credit risk principles (experience)
  • Familiarity with regulatory frameworks such as Basel III or Dodd-Frank (experience)
  • Participation in data science competitions or quantitative finance clubs (experience)
  • Advanced coursework in machine learning or predictive analytics (experience)

Responsibilities

  • Collaborate with risk modeling teams to develop and validate statistical models for consumer and community banking products, including credit scoring and loss forecasting
  • Analyze large datasets using tools like SQL, Python, or R to identify patterns and risks in lending portfolios
  • Assist in the implementation of machine learning algorithms to enhance model accuracy and predictive power
  • Support stress testing and scenario analysis to ensure compliance with regulatory requirements
  • Document model methodologies, assumptions, and results for internal reviews and audits
  • Contribute to model governance processes, including performance monitoring and recalibration
  • Work cross-functionally with business units to translate risk insights into actionable strategies
  • Participate in innovation projects aimed at improving risk management practices in a global banking environment
  • Present findings and recommendations to senior stakeholders in clear, concise reports

Benefits

  • general: Competitive hourly pay and potential for full-time conversion upon program completion
  • general: Comprehensive health, dental, and vision insurance coverage during the internship
  • general: 401(k) matching contributions and financial wellness programs
  • general: Paid time off and flexible work arrangements where applicable
  • general: Access to JPMorgan Chase's world-class learning and development resources, including online courses and mentorship
  • general: Networking opportunities with industry leaders and participation in firm-wide events
  • general: Relocation assistance for eligible interns, including housing stipends in Wilmington, DE
  • general: Employee discounts on banking products and services

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JP Morgan Chase logo

2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship

JP Morgan Chase

2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship

JP Morgan Chase logo

JP Morgan Chase

internship

Posted: December 10, 2025

Number of Vacancies: 1

Job Description

2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship

Location: Wilmington, DE, United States

Job Family: Seasonal Employee

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide, committed to helping people and businesses achieve their financial goals. The 2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship offers a unique opportunity for talented students to join our innovative team in Wilmington, DE. As a Seasonal Employee, you will immerse yourself in the dynamic world of risk management within our Consumer & Community Banking division, which serves millions of customers through retail banking, credit cards, mortgages, and auto loans. We seek innovative problem-solvers passionate about leveraging data and analytics to develop complex solutions that mitigate risks and drive business growth in a highly regulated industry. In this 10-week program, you will work alongside experienced risk professionals to build and refine predictive models that support decision-making in consumer lending. Your role will involve hands-on experience with advanced statistical techniques and machine learning to assess credit risk, forecast losses, and ensure compliance with regulations like the Community Reinvestment Act and fair lending laws. You will contribute to real-world projects, such as enhancing fraud detection models or optimizing portfolio risk strategies, gaining exposure to JPMorgan Chase's proprietary tools and vast datasets. This internship is designed to provide a comprehensive understanding of how risk modeling intersects with business strategy in one of the world's largest banks. Beyond technical contributions, you will develop soft skills through mentorship, team collaborations, and presentations to senior leaders. The program emphasizes professional growth, with access to JPMorgan Chase's renowned training resources and networking events that connect you to our global community. Successful interns may receive offers to return as full-time associates in our Risk Management early career programs. If you thrive in a collaborative environment and are eager to apply your quantitative skills to impactful financial challenges, this internship at JPMorgan Chase will launch your career in the heart of Wall Street's innovation.

Key Responsibilities

  • Collaborate with risk modeling teams to develop and validate statistical models for consumer and community banking products, including credit scoring and loss forecasting
  • Analyze large datasets using tools like SQL, Python, or R to identify patterns and risks in lending portfolios
  • Assist in the implementation of machine learning algorithms to enhance model accuracy and predictive power
  • Support stress testing and scenario analysis to ensure compliance with regulatory requirements
  • Document model methodologies, assumptions, and results for internal reviews and audits
  • Contribute to model governance processes, including performance monitoring and recalibration
  • Work cross-functionally with business units to translate risk insights into actionable strategies
  • Participate in innovation projects aimed at improving risk management practices in a global banking environment
  • Present findings and recommendations to senior stakeholders in clear, concise reports

Required Qualifications

  • Pursuing a bachelor's or master's degree in quantitative fields such as Mathematics, Statistics, Economics, Finance, Computer Science, or related disciplines, with an expected graduation date in 2026 or later
  • Strong academic record with a minimum GPA of 3.2 on a 4.0 scale
  • Demonstrated experience or coursework in statistical modeling, data analysis, or risk assessment
  • Proficiency in programming languages and tools used in financial modeling
  • Eligibility to work in the United States without sponsorship
  • Availability for a full-time summer internship in Wilmington, DE
  • Commitment to ethical standards and regulatory compliance in the financial services industry

Preferred Qualifications

  • Prior internship or project experience in financial services, risk management, or banking
  • Knowledge of consumer banking products and credit risk principles
  • Familiarity with regulatory frameworks such as Basel III or Dodd-Frank
  • Participation in data science competitions or quantitative finance clubs
  • Advanced coursework in machine learning or predictive analytics

Required Skills

  • Statistical modeling and quantitative analysis
  • Proficiency in Python, R, or SAS for data manipulation and modeling
  • SQL for querying large financial datasets
  • Machine learning techniques such as regression, decision trees, and neural networks
  • Data visualization tools like Tableau or Power BI
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for presenting complex data to non-technical audiences
  • Attention to detail and accuracy in model validation
  • Team collaboration and adaptability in a fast-paced environment
  • Knowledge of financial risk metrics like PD, LGD, and EAD
  • Time management and ability to handle multiple priorities
  • Ethical judgment in handling sensitive financial data
  • Basic understanding of regulatory reporting in banking
  • Critical thinking for scenario-based risk assessment
  • Proficiency in Microsoft Excel for financial modeling

Benefits

  • Competitive hourly pay and potential for full-time conversion upon program completion
  • Comprehensive health, dental, and vision insurance coverage during the internship
  • 401(k) matching contributions and financial wellness programs
  • Paid time off and flexible work arrangements where applicable
  • Access to JPMorgan Chase's world-class learning and development resources, including online courses and mentorship
  • Networking opportunities with industry leaders and participation in firm-wide events
  • Relocation assistance for eligible interns, including housing stipends in Wilmington, DE
  • Employee discounts on banking products and services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

80,000 - 120,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Statistical modeling and quantitative analysisintermediate
  • Proficiency in Python, R, or SAS for data manipulation and modelingintermediate
  • SQL for querying large financial datasetsintermediate
  • Machine learning techniques such as regression, decision trees, and neural networksintermediate
  • Data visualization tools like Tableau or Power BIintermediate
  • Strong analytical and problem-solving abilitiesintermediate
  • Excellent communication skills for presenting complex data to non-technical audiencesintermediate
  • Attention to detail and accuracy in model validationintermediate
  • Team collaboration and adaptability in a fast-paced environmentintermediate
  • Knowledge of financial risk metrics like PD, LGD, and EADintermediate
  • Time management and ability to handle multiple prioritiesintermediate
  • Ethical judgment in handling sensitive financial dataintermediate
  • Basic understanding of regulatory reporting in bankingintermediate
  • Critical thinking for scenario-based risk assessmentintermediate
  • Proficiency in Microsoft Excel for financial modelingintermediate

Required Qualifications

  • Pursuing a bachelor's or master's degree in quantitative fields such as Mathematics, Statistics, Economics, Finance, Computer Science, or related disciplines, with an expected graduation date in 2026 or later (experience)
  • Strong academic record with a minimum GPA of 3.2 on a 4.0 scale (experience)
  • Demonstrated experience or coursework in statistical modeling, data analysis, or risk assessment (experience)
  • Proficiency in programming languages and tools used in financial modeling (experience)
  • Eligibility to work in the United States without sponsorship (experience)
  • Availability for a full-time summer internship in Wilmington, DE (experience)
  • Commitment to ethical standards and regulatory compliance in the financial services industry (experience)

Preferred Qualifications

  • Prior internship or project experience in financial services, risk management, or banking (experience)
  • Knowledge of consumer banking products and credit risk principles (experience)
  • Familiarity with regulatory frameworks such as Basel III or Dodd-Frank (experience)
  • Participation in data science competitions or quantitative finance clubs (experience)
  • Advanced coursework in machine learning or predictive analytics (experience)

Responsibilities

  • Collaborate with risk modeling teams to develop and validate statistical models for consumer and community banking products, including credit scoring and loss forecasting
  • Analyze large datasets using tools like SQL, Python, or R to identify patterns and risks in lending portfolios
  • Assist in the implementation of machine learning algorithms to enhance model accuracy and predictive power
  • Support stress testing and scenario analysis to ensure compliance with regulatory requirements
  • Document model methodologies, assumptions, and results for internal reviews and audits
  • Contribute to model governance processes, including performance monitoring and recalibration
  • Work cross-functionally with business units to translate risk insights into actionable strategies
  • Participate in innovation projects aimed at improving risk management practices in a global banking environment
  • Present findings and recommendations to senior stakeholders in clear, concise reports

Benefits

  • general: Competitive hourly pay and potential for full-time conversion upon program completion
  • general: Comprehensive health, dental, and vision insurance coverage during the internship
  • general: 401(k) matching contributions and financial wellness programs
  • general: Paid time off and flexible work arrangements where applicable
  • general: Access to JPMorgan Chase's world-class learning and development resources, including online courses and mentorship
  • general: Networking opportunities with industry leaders and participation in firm-wide events
  • general: Relocation assistance for eligible interns, including housing stipends in Wilmington, DE
  • general: Employee discounts on banking products and services

Target Your Resume for "2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for 2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship. Takes only 15 seconds!

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

Check Your ATS Score for "2026 Consumer & Community Banking Risk Modeling Associate Program – Summer Internship" , 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

Related Jobs You May Like

No related jobs found at the moment.