Resume and JobRESUME AND JOB
JP Morgan Chase logo

2026 – Markets - Systematic Trading – Internship – New York

JP Morgan Chase

Finance Jobs

2026 – Markets - Systematic Trading – Internship – New York

internshipPosted: Oct 29, 2025

Job Description

2026 – Markets - Systematic Trading – Internship – New York

Location: New York, NY, United States

Job Family: Analysts

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide, powering markets through innovative trading solutions. The 2026 Markets - Systematic Trading Internship in New York offers a unique opportunity for talented students to join our world-class Quantitative Research and Trading teams. As an intern, you will drive the development of automated trading strategies that leverage data analysis, advanced modeling, and cutting-edge technology to optimize performance across global markets. This role is ideal for those passionate about quantitative finance, where you'll contribute to real-world trading decisions in equities, fixed income, commodities, and currencies, gaining hands-on experience in one of the most dynamic areas of investment banking. In this internship, you will work closely with experienced systematic traders and quants to build, test, and deploy algorithmic models that identify trading opportunities and manage risks in real-time. Responsibilities include analyzing vast datasets to uncover patterns, implementing machine learning-driven strategies, and simulating market scenarios to enhance profitability while adhering to strict regulatory standards. At JPMorgan Chase, our Markets division is at the forefront of electronic trading innovation, and you'll have access to proprietary tools and high-performance computing resources to push the boundaries of automated trading. This position demands strong technical skills and a curiosity for financial markets, providing a platform to apply classroom knowledge to high-stakes, impactful projects. The internship fosters professional growth through structured training, mentorship from industry leaders, and exposure to JPMorgan's collaborative culture. Successful interns often transition to full-time roles, building long-term careers in quantitative finance. Located in the heart of New York City's financial district, this 10-12 week program runs during the summer of 2026, offering not only skill-building but also networking with peers and executives. Join JPMorgan Chase to be part of a team that shapes the future of global markets through systematic trading excellence.

Key Responsibilities

  • Develop and backtest automated trading strategies using statistical models and machine learning techniques to identify market inefficiencies
  • Analyze large datasets from equities, fixed income, commodities, and foreign exchange markets to optimize trading algorithms
  • Collaborate with quantitative researchers and traders to implement systematic trading models in live environments
  • Perform data cleaning, feature engineering, and performance evaluation of trading strategies using Python and other tools
  • Monitor and refine trading systems to ensure compliance with risk parameters and regulatory requirements
  • Contribute to the design of low-latency execution algorithms for high-frequency trading opportunities
  • Assist in simulating market scenarios to assess strategy robustness and profitability
  • Document findings and present insights to senior team members on potential enhancements to trading frameworks
  • Support the integration of new data sources and technologies into existing systematic trading platforms
  • Participate in team meetings to discuss market trends and emerging opportunities in automated trading

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Mathematics, Statistics, Engineering, Finance, or a related quantitative field, with an expected graduation in 2026 or later
  • Strong academic record with a minimum GPA of 3.5 or equivalent
  • Proficiency in programming languages such as Python, C++, or Java, with experience in data analysis and algorithmic development
  • Demonstrated interest in financial markets, quantitative trading, or systematic strategies through coursework, projects, or extracurricular activities
  • Ability to work collaboratively in a fast-paced, team-oriented environment
  • U.S. work authorization or eligibility to work in the U.S. without sponsorship for the duration of the internship
  • Availability for a full-time 10-12 week internship in New York during the summer of 2026

Preferred Qualifications

  • Prior experience with machine learning frameworks like TensorFlow or PyTorch applied to financial datasets
  • Knowledge of electronic trading systems, market microstructure, or risk management in derivatives and equities
  • Participation in quantitative finance competitions, hackathons, or relevant internships
  • Familiarity with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial data
  • Understanding of JPMorgan Chase's Markets division or similar investment banking operations

Required Skills

  • Programming in Python, C++, or Java for algorithmic development
  • Data analysis and statistical modeling using libraries like NumPy, Pandas, and SciPy
  • Machine learning techniques for predictive modeling in financial contexts
  • Knowledge of financial instruments including equities, options, futures, and FX
  • Quantitative analysis and backtesting of trading strategies
  • SQL and database management for querying large financial datasets
  • Understanding of market microstructure and electronic trading protocols
  • Problem-solving and analytical thinking in high-pressure environments
  • Team collaboration and communication skills for cross-functional projects
  • Attention to detail in risk assessment and compliance adherence
  • Adaptability to fast-paced, dynamic market conditions
  • Proficiency in version control systems like Git for code management
  • Basic knowledge of cloud computing platforms such as AWS or Azure for data processing
  • Time management and prioritization in multi-tasking scenarios
  • Ethical decision-making in handling sensitive financial data

Benefits

  • Competitive hourly pay and potential performance-based bonuses for the internship duration
  • Comprehensive professional development through JPMorgan's internship training programs and mentorship from experienced traders
  • Exposure to cutting-edge financial technology and direct involvement in live trading operations
  • Networking opportunities with senior leaders in JPMorgan Chase's Markets division
  • Access to wellness programs, including mental health resources and fitness reimbursements
  • Paid time off and flexible work arrangements during the internship
  • Pathway to full-time opportunities upon successful completion, including return offers for new analyst roles
  • Subsidized housing assistance and relocation support for interns relocating to New York

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

100,000 - 150,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Programming in Python, C++, or Java for algorithmic developmentintermediate
  • Data analysis and statistical modeling using libraries like NumPy, Pandas, and SciPyintermediate
  • Machine learning techniques for predictive modeling in financial contextsintermediate
  • Knowledge of financial instruments including equities, options, futures, and FXintermediate
  • Quantitative analysis and backtesting of trading strategiesintermediate
  • SQL and database management for querying large financial datasetsintermediate
  • Understanding of market microstructure and electronic trading protocolsintermediate
  • Problem-solving and analytical thinking in high-pressure environmentsintermediate
  • Team collaboration and communication skills for cross-functional projectsintermediate
  • Attention to detail in risk assessment and compliance adherenceintermediate
  • Adaptability to fast-paced, dynamic market conditionsintermediate
  • Proficiency in version control systems like Git for code managementintermediate
  • Basic knowledge of cloud computing platforms such as AWS or Azure for data processingintermediate
  • Time management and prioritization in multi-tasking scenariosintermediate
  • Ethical decision-making in handling sensitive financial dataintermediate

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Mathematics, Statistics, Engineering, Finance, or a related quantitative field, with an expected graduation in 2026 or later (experience)
  • Strong academic record with a minimum GPA of 3.5 or equivalent (experience)
  • Proficiency in programming languages such as Python, C++, or Java, with experience in data analysis and algorithmic development (experience)
  • Demonstrated interest in financial markets, quantitative trading, or systematic strategies through coursework, projects, or extracurricular activities (experience)
  • Ability to work collaboratively in a fast-paced, team-oriented environment (experience)
  • U.S. work authorization or eligibility to work in the U.S. without sponsorship for the duration of the internship (experience)
  • Availability for a full-time 10-12 week internship in New York during the summer of 2026 (experience)

Preferred Qualifications

  • Prior experience with machine learning frameworks like TensorFlow or PyTorch applied to financial datasets (experience)
  • Knowledge of electronic trading systems, market microstructure, or risk management in derivatives and equities (experience)
  • Participation in quantitative finance competitions, hackathons, or relevant internships (experience)
  • Familiarity with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial data (experience)
  • Understanding of JPMorgan Chase's Markets division or similar investment banking operations (experience)

Responsibilities

  • Develop and backtest automated trading strategies using statistical models and machine learning techniques to identify market inefficiencies
  • Analyze large datasets from equities, fixed income, commodities, and foreign exchange markets to optimize trading algorithms
  • Collaborate with quantitative researchers and traders to implement systematic trading models in live environments
  • Perform data cleaning, feature engineering, and performance evaluation of trading strategies using Python and other tools
  • Monitor and refine trading systems to ensure compliance with risk parameters and regulatory requirements
  • Contribute to the design of low-latency execution algorithms for high-frequency trading opportunities
  • Assist in simulating market scenarios to assess strategy robustness and profitability
  • Document findings and present insights to senior team members on potential enhancements to trading frameworks
  • Support the integration of new data sources and technologies into existing systematic trading platforms
  • Participate in team meetings to discuss market trends and emerging opportunities in automated trading

Benefits

  • general: Competitive hourly pay and potential performance-based bonuses for the internship duration
  • general: Comprehensive professional development through JPMorgan's internship training programs and mentorship from experienced traders
  • general: Exposure to cutting-edge financial technology and direct involvement in live trading operations
  • general: Networking opportunities with senior leaders in JPMorgan Chase's Markets division
  • general: Access to wellness programs, including mental health resources and fitness reimbursements
  • general: Paid time off and flexible work arrangements during the internship
  • general: Pathway to full-time opportunities upon successful completion, including return offers for new analyst roles
  • general: Subsidized housing assistance and relocation support for interns relocating to New York

Target Your Resume for "2026 – Markets - Systematic Trading – Internship – New York" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for 2026 – Markets - Systematic Trading – Internship – New York. Takes only 15 seconds!

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

Check Your ATS Score for "2026 – Markets - Systematic Trading – Internship – New York" , 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

AnalystsFinancial ServicesBankingJP MorganAnalysts

Answer 10 quick questions to check your fit for 2026 – Markets - Systematic Trading – Internship – New York @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

JP Morgan Chase logo

2026 – Markets - Systematic Trading – Internship – New York

JP Morgan Chase

Finance Jobs

2026 – Markets - Systematic Trading – Internship – New York

internshipPosted: Oct 29, 2025

Job Description

2026 – Markets - Systematic Trading – Internship – New York

Location: New York, NY, United States

Job Family: Analysts

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide, powering markets through innovative trading solutions. The 2026 Markets - Systematic Trading Internship in New York offers a unique opportunity for talented students to join our world-class Quantitative Research and Trading teams. As an intern, you will drive the development of automated trading strategies that leverage data analysis, advanced modeling, and cutting-edge technology to optimize performance across global markets. This role is ideal for those passionate about quantitative finance, where you'll contribute to real-world trading decisions in equities, fixed income, commodities, and currencies, gaining hands-on experience in one of the most dynamic areas of investment banking. In this internship, you will work closely with experienced systematic traders and quants to build, test, and deploy algorithmic models that identify trading opportunities and manage risks in real-time. Responsibilities include analyzing vast datasets to uncover patterns, implementing machine learning-driven strategies, and simulating market scenarios to enhance profitability while adhering to strict regulatory standards. At JPMorgan Chase, our Markets division is at the forefront of electronic trading innovation, and you'll have access to proprietary tools and high-performance computing resources to push the boundaries of automated trading. This position demands strong technical skills and a curiosity for financial markets, providing a platform to apply classroom knowledge to high-stakes, impactful projects. The internship fosters professional growth through structured training, mentorship from industry leaders, and exposure to JPMorgan's collaborative culture. Successful interns often transition to full-time roles, building long-term careers in quantitative finance. Located in the heart of New York City's financial district, this 10-12 week program runs during the summer of 2026, offering not only skill-building but also networking with peers and executives. Join JPMorgan Chase to be part of a team that shapes the future of global markets through systematic trading excellence.

Key Responsibilities

  • Develop and backtest automated trading strategies using statistical models and machine learning techniques to identify market inefficiencies
  • Analyze large datasets from equities, fixed income, commodities, and foreign exchange markets to optimize trading algorithms
  • Collaborate with quantitative researchers and traders to implement systematic trading models in live environments
  • Perform data cleaning, feature engineering, and performance evaluation of trading strategies using Python and other tools
  • Monitor and refine trading systems to ensure compliance with risk parameters and regulatory requirements
  • Contribute to the design of low-latency execution algorithms for high-frequency trading opportunities
  • Assist in simulating market scenarios to assess strategy robustness and profitability
  • Document findings and present insights to senior team members on potential enhancements to trading frameworks
  • Support the integration of new data sources and technologies into existing systematic trading platforms
  • Participate in team meetings to discuss market trends and emerging opportunities in automated trading

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Mathematics, Statistics, Engineering, Finance, or a related quantitative field, with an expected graduation in 2026 or later
  • Strong academic record with a minimum GPA of 3.5 or equivalent
  • Proficiency in programming languages such as Python, C++, or Java, with experience in data analysis and algorithmic development
  • Demonstrated interest in financial markets, quantitative trading, or systematic strategies through coursework, projects, or extracurricular activities
  • Ability to work collaboratively in a fast-paced, team-oriented environment
  • U.S. work authorization or eligibility to work in the U.S. without sponsorship for the duration of the internship
  • Availability for a full-time 10-12 week internship in New York during the summer of 2026

Preferred Qualifications

  • Prior experience with machine learning frameworks like TensorFlow or PyTorch applied to financial datasets
  • Knowledge of electronic trading systems, market microstructure, or risk management in derivatives and equities
  • Participation in quantitative finance competitions, hackathons, or relevant internships
  • Familiarity with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial data
  • Understanding of JPMorgan Chase's Markets division or similar investment banking operations

Required Skills

  • Programming in Python, C++, or Java for algorithmic development
  • Data analysis and statistical modeling using libraries like NumPy, Pandas, and SciPy
  • Machine learning techniques for predictive modeling in financial contexts
  • Knowledge of financial instruments including equities, options, futures, and FX
  • Quantitative analysis and backtesting of trading strategies
  • SQL and database management for querying large financial datasets
  • Understanding of market microstructure and electronic trading protocols
  • Problem-solving and analytical thinking in high-pressure environments
  • Team collaboration and communication skills for cross-functional projects
  • Attention to detail in risk assessment and compliance adherence
  • Adaptability to fast-paced, dynamic market conditions
  • Proficiency in version control systems like Git for code management
  • Basic knowledge of cloud computing platforms such as AWS or Azure for data processing
  • Time management and prioritization in multi-tasking scenarios
  • Ethical decision-making in handling sensitive financial data

Benefits

  • Competitive hourly pay and potential performance-based bonuses for the internship duration
  • Comprehensive professional development through JPMorgan's internship training programs and mentorship from experienced traders
  • Exposure to cutting-edge financial technology and direct involvement in live trading operations
  • Networking opportunities with senior leaders in JPMorgan Chase's Markets division
  • Access to wellness programs, including mental health resources and fitness reimbursements
  • Paid time off and flexible work arrangements during the internship
  • Pathway to full-time opportunities upon successful completion, including return offers for new analyst roles
  • Subsidized housing assistance and relocation support for interns relocating to New York

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

100,000 - 150,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Programming in Python, C++, or Java for algorithmic developmentintermediate
  • Data analysis and statistical modeling using libraries like NumPy, Pandas, and SciPyintermediate
  • Machine learning techniques for predictive modeling in financial contextsintermediate
  • Knowledge of financial instruments including equities, options, futures, and FXintermediate
  • Quantitative analysis and backtesting of trading strategiesintermediate
  • SQL and database management for querying large financial datasetsintermediate
  • Understanding of market microstructure and electronic trading protocolsintermediate
  • Problem-solving and analytical thinking in high-pressure environmentsintermediate
  • Team collaboration and communication skills for cross-functional projectsintermediate
  • Attention to detail in risk assessment and compliance adherenceintermediate
  • Adaptability to fast-paced, dynamic market conditionsintermediate
  • Proficiency in version control systems like Git for code managementintermediate
  • Basic knowledge of cloud computing platforms such as AWS or Azure for data processingintermediate
  • Time management and prioritization in multi-tasking scenariosintermediate
  • Ethical decision-making in handling sensitive financial dataintermediate

Required Qualifications

  • Currently pursuing a bachelor's or master's degree in Computer Science, Mathematics, Statistics, Engineering, Finance, or a related quantitative field, with an expected graduation in 2026 or later (experience)
  • Strong academic record with a minimum GPA of 3.5 or equivalent (experience)
  • Proficiency in programming languages such as Python, C++, or Java, with experience in data analysis and algorithmic development (experience)
  • Demonstrated interest in financial markets, quantitative trading, or systematic strategies through coursework, projects, or extracurricular activities (experience)
  • Ability to work collaboratively in a fast-paced, team-oriented environment (experience)
  • U.S. work authorization or eligibility to work in the U.S. without sponsorship for the duration of the internship (experience)
  • Availability for a full-time 10-12 week internship in New York during the summer of 2026 (experience)

Preferred Qualifications

  • Prior experience with machine learning frameworks like TensorFlow or PyTorch applied to financial datasets (experience)
  • Knowledge of electronic trading systems, market microstructure, or risk management in derivatives and equities (experience)
  • Participation in quantitative finance competitions, hackathons, or relevant internships (experience)
  • Familiarity with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial data (experience)
  • Understanding of JPMorgan Chase's Markets division or similar investment banking operations (experience)

Responsibilities

  • Develop and backtest automated trading strategies using statistical models and machine learning techniques to identify market inefficiencies
  • Analyze large datasets from equities, fixed income, commodities, and foreign exchange markets to optimize trading algorithms
  • Collaborate with quantitative researchers and traders to implement systematic trading models in live environments
  • Perform data cleaning, feature engineering, and performance evaluation of trading strategies using Python and other tools
  • Monitor and refine trading systems to ensure compliance with risk parameters and regulatory requirements
  • Contribute to the design of low-latency execution algorithms for high-frequency trading opportunities
  • Assist in simulating market scenarios to assess strategy robustness and profitability
  • Document findings and present insights to senior team members on potential enhancements to trading frameworks
  • Support the integration of new data sources and technologies into existing systematic trading platforms
  • Participate in team meetings to discuss market trends and emerging opportunities in automated trading

Benefits

  • general: Competitive hourly pay and potential performance-based bonuses for the internship duration
  • general: Comprehensive professional development through JPMorgan's internship training programs and mentorship from experienced traders
  • general: Exposure to cutting-edge financial technology and direct involvement in live trading operations
  • general: Networking opportunities with senior leaders in JPMorgan Chase's Markets division
  • general: Access to wellness programs, including mental health resources and fitness reimbursements
  • general: Paid time off and flexible work arrangements during the internship
  • general: Pathway to full-time opportunities upon successful completion, including return offers for new analyst roles
  • general: Subsidized housing assistance and relocation support for interns relocating to New York

Target Your Resume for "2026 – Markets - Systematic Trading – Internship – New York" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for 2026 – Markets - Systematic Trading – Internship – New York. Takes only 15 seconds!

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

Check Your ATS Score for "2026 – Markets - Systematic Trading – Internship – New York" , 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

AnalystsFinancial ServicesBankingJP MorganAnalysts

Answer 10 quick questions to check your fit for 2026 – Markets - Systematic Trading – Internship – New York @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.