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Quantitative Research - London - 2026 ReEntry Program

JP Morgan Chase

Finance Jobs

Quantitative Research - London - 2026 ReEntry Program

full-timePosted: Nov 24, 2025

Job Description

Quantitative Research - London - 2026 ReEntry Program

Location: LONDON, LONDON, United Kingdom

Job Family: Data Management

About the Role

JPMorgan Chase's Quantitative Research team in London is seeking talented professionals for the 2026 ReEntry Program, a flagship initiative designed to relaunch careers in the dynamic world of financial services. This 12-month program targets individuals with prior quantitative experience who have taken a career break, offering a structured pathway back into high-impact roles within our Global Markets division. As a participant, you will engage in cutting-edge quantitative research that drives innovation in trading strategies, risk management, and investment decisions. Based in our state-of-the-art Canary Wharf office, you will contribute to real-world applications that support JPMorgan Chase's position as a leader in investment banking and asset management, while benefiting from mentorship, skill-building workshops, and networking opportunities tailored to returning professionals. In this role, you will dive into complex datasets from global financial markets, developing and refining mathematical models to predict asset behaviors and optimize portfolios. Responsibilities include collaborating with elite teams of quants, traders, and technologists to translate research into actionable insights, such as algorithmic trading signals or stress-testing frameworks compliant with UK and EU regulations. The program emphasizes hands-on experience with JPMorgan Chase's proprietary tools and platforms, allowing you to apply advanced techniques in stochastic calculus, machine learning, and big data analytics to solve pressing challenges in equities, fixed income, and commodities. This is an opportunity to leverage your quantitative expertise in a supportive environment that values diverse perspectives and fosters professional growth. JPMorgan Chase is committed to building an inclusive workplace, and the ReEntry Program exemplifies our dedication to second-chance opportunities in finance. Participants will receive comprehensive training on industry best practices, ethical standards, and the latest quantitative methodologies, preparing you for long-term success within the firm. Upon completion, high performers may transition to permanent roles, continuing to shape the future of global finance. If you are passionate about quantitative research and ready to reenter the field with one of the world's most respected financial institutions, join us in London to make a meaningful impact.

Key Responsibilities

  • Conduct quantitative research to develop models for pricing, risk assessment, and portfolio optimization in JPMorgan Chase's trading and investment banking divisions
  • Analyze large datasets using statistical methods and machine learning techniques to identify market trends and trading opportunities
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to implement research findings into production systems
  • Backtest and validate quantitative models to ensure accuracy and compliance with internal and regulatory standards
  • Contribute to the development of algorithmic trading strategies for equities, fixed income, and derivatives markets
  • Perform sensitivity analysis and stress testing on financial models to support decision-making in volatile market conditions
  • Document research methodologies and present findings to senior stakeholders through reports and visualizations
  • Stay abreast of advancements in quantitative finance and integrate new techniques into JPMorgan Chase's research framework
  • Support the Global ReEntry Program by mentoring participants and fostering an inclusive return-to-work environment
  • Assist in data management tasks, including cleaning, preprocessing, and governance of financial datasets

Required Qualifications

  • Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering
  • At least 2-5 years of prior professional experience in quantitative research, data analysis, or a related field in financial services
  • Demonstrated career break of at least 2 years, with strong motivation to relaunch in a quantitative role
  • Proficiency in programming languages used in financial modeling and data analysis
  • Understanding of financial markets, derivatives, or risk management concepts
  • Ability to obtain necessary work authorization in the UK
  • Commitment to JPMorgan Chase's core values of integrity, excellence, and teamwork

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline
  • Experience in quantitative finance, algorithmic trading, or machine learning applications in banking
  • Familiarity with regulatory environments in the financial sector, such as MiFID II or Basel III
  • Prior internship or work experience at a top-tier financial institution
  • Publications or contributions to open-source projects in quantitative research

Required Skills

  • Proficiency in Python, R, or MATLAB for quantitative modeling and data analysis
  • Strong knowledge of statistical methods, including regression, time-series analysis, and Monte Carlo simulations
  • Experience with machine learning frameworks such as TensorFlow or scikit-learn applied to financial data
  • Understanding of financial instruments like options, futures, and swaps
  • Data visualization skills using tools like Tableau or ggplot2
  • SQL and database management for handling large-scale financial datasets
  • Problem-solving and analytical thinking in complex, high-stakes environments
  • Excellent communication skills for presenting technical concepts to non-technical audiences
  • Attention to detail and accuracy in model validation and error detection
  • Team collaboration and adaptability in a fast-paced financial services setting
  • Knowledge of version control systems like Git for code management
  • Familiarity with cloud computing platforms such as AWS or Azure for data processing
  • Risk assessment and ethical decision-making in quantitative research
  • Time management to handle multiple research projects simultaneously
  • Curiosity and continuous learning mindset for evolving quantitative techniques

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial services industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • Generous retirement savings plan with employer matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • Employee wellness programs, including gym memberships and mental health support
  • Flexible working arrangements with hybrid options in the London office
  • Access to global mobility programs and career progression paths within JPMorgan Chase

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

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, R, or MATLAB for quantitative modeling and data analysisintermediate
  • Strong knowledge of statistical methods, including regression, time-series analysis, and Monte Carlo simulationsintermediate
  • Experience with machine learning frameworks such as TensorFlow or scikit-learn applied to financial dataintermediate
  • Understanding of financial instruments like options, futures, and swapsintermediate
  • Data visualization skills using tools like Tableau or ggplot2intermediate
  • SQL and database management for handling large-scale financial datasetsintermediate
  • Problem-solving and analytical thinking in complex, high-stakes environmentsintermediate
  • Excellent communication skills for presenting technical concepts to non-technical audiencesintermediate
  • Attention to detail and accuracy in model validation and error detectionintermediate
  • Team collaboration and adaptability in a fast-paced financial services settingintermediate
  • Knowledge of version control systems like Git for code managementintermediate
  • Familiarity with cloud computing platforms such as AWS or Azure for data processingintermediate
  • Risk assessment and ethical decision-making in quantitative researchintermediate
  • Time management to handle multiple research projects simultaneouslyintermediate
  • Curiosity and continuous learning mindset for evolving quantitative techniquesintermediate

Required Qualifications

  • Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering (experience)
  • At least 2-5 years of prior professional experience in quantitative research, data analysis, or a related field in financial services (experience)
  • Demonstrated career break of at least 2 years, with strong motivation to relaunch in a quantitative role (experience)
  • Proficiency in programming languages used in financial modeling and data analysis (experience)
  • Understanding of financial markets, derivatives, or risk management concepts (experience)
  • Ability to obtain necessary work authorization in the UK (experience)
  • Commitment to JPMorgan Chase's core values of integrity, excellence, and teamwork (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline (experience)
  • Experience in quantitative finance, algorithmic trading, or machine learning applications in banking (experience)
  • Familiarity with regulatory environments in the financial sector, such as MiFID II or Basel III (experience)
  • Prior internship or work experience at a top-tier financial institution (experience)
  • Publications or contributions to open-source projects in quantitative research (experience)

Responsibilities

  • Conduct quantitative research to develop models for pricing, risk assessment, and portfolio optimization in JPMorgan Chase's trading and investment banking divisions
  • Analyze large datasets using statistical methods and machine learning techniques to identify market trends and trading opportunities
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to implement research findings into production systems
  • Backtest and validate quantitative models to ensure accuracy and compliance with internal and regulatory standards
  • Contribute to the development of algorithmic trading strategies for equities, fixed income, and derivatives markets
  • Perform sensitivity analysis and stress testing on financial models to support decision-making in volatile market conditions
  • Document research methodologies and present findings to senior stakeholders through reports and visualizations
  • Stay abreast of advancements in quantitative finance and integrate new techniques into JPMorgan Chase's research framework
  • Support the Global ReEntry Program by mentoring participants and fostering an inclusive return-to-work environment
  • Assist in data management tasks, including cleaning, preprocessing, and governance of financial datasets

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial services industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • general: Generous retirement savings plan with employer matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • general: Employee wellness programs, including gym memberships and mental health support
  • general: Flexible working arrangements with hybrid options in the London office
  • general: Access to global mobility programs and career progression paths within JPMorgan Chase

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JP Morgan Chase logo

Quantitative Research - London - 2026 ReEntry Program

JP Morgan Chase

Finance Jobs

Quantitative Research - London - 2026 ReEntry Program

full-timePosted: Nov 24, 2025

Job Description

Quantitative Research - London - 2026 ReEntry Program

Location: LONDON, LONDON, United Kingdom

Job Family: Data Management

About the Role

JPMorgan Chase's Quantitative Research team in London is seeking talented professionals for the 2026 ReEntry Program, a flagship initiative designed to relaunch careers in the dynamic world of financial services. This 12-month program targets individuals with prior quantitative experience who have taken a career break, offering a structured pathway back into high-impact roles within our Global Markets division. As a participant, you will engage in cutting-edge quantitative research that drives innovation in trading strategies, risk management, and investment decisions. Based in our state-of-the-art Canary Wharf office, you will contribute to real-world applications that support JPMorgan Chase's position as a leader in investment banking and asset management, while benefiting from mentorship, skill-building workshops, and networking opportunities tailored to returning professionals. In this role, you will dive into complex datasets from global financial markets, developing and refining mathematical models to predict asset behaviors and optimize portfolios. Responsibilities include collaborating with elite teams of quants, traders, and technologists to translate research into actionable insights, such as algorithmic trading signals or stress-testing frameworks compliant with UK and EU regulations. The program emphasizes hands-on experience with JPMorgan Chase's proprietary tools and platforms, allowing you to apply advanced techniques in stochastic calculus, machine learning, and big data analytics to solve pressing challenges in equities, fixed income, and commodities. This is an opportunity to leverage your quantitative expertise in a supportive environment that values diverse perspectives and fosters professional growth. JPMorgan Chase is committed to building an inclusive workplace, and the ReEntry Program exemplifies our dedication to second-chance opportunities in finance. Participants will receive comprehensive training on industry best practices, ethical standards, and the latest quantitative methodologies, preparing you for long-term success within the firm. Upon completion, high performers may transition to permanent roles, continuing to shape the future of global finance. If you are passionate about quantitative research and ready to reenter the field with one of the world's most respected financial institutions, join us in London to make a meaningful impact.

Key Responsibilities

  • Conduct quantitative research to develop models for pricing, risk assessment, and portfolio optimization in JPMorgan Chase's trading and investment banking divisions
  • Analyze large datasets using statistical methods and machine learning techniques to identify market trends and trading opportunities
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to implement research findings into production systems
  • Backtest and validate quantitative models to ensure accuracy and compliance with internal and regulatory standards
  • Contribute to the development of algorithmic trading strategies for equities, fixed income, and derivatives markets
  • Perform sensitivity analysis and stress testing on financial models to support decision-making in volatile market conditions
  • Document research methodologies and present findings to senior stakeholders through reports and visualizations
  • Stay abreast of advancements in quantitative finance and integrate new techniques into JPMorgan Chase's research framework
  • Support the Global ReEntry Program by mentoring participants and fostering an inclusive return-to-work environment
  • Assist in data management tasks, including cleaning, preprocessing, and governance of financial datasets

Required Qualifications

  • Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering
  • At least 2-5 years of prior professional experience in quantitative research, data analysis, or a related field in financial services
  • Demonstrated career break of at least 2 years, with strong motivation to relaunch in a quantitative role
  • Proficiency in programming languages used in financial modeling and data analysis
  • Understanding of financial markets, derivatives, or risk management concepts
  • Ability to obtain necessary work authorization in the UK
  • Commitment to JPMorgan Chase's core values of integrity, excellence, and teamwork

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline
  • Experience in quantitative finance, algorithmic trading, or machine learning applications in banking
  • Familiarity with regulatory environments in the financial sector, such as MiFID II or Basel III
  • Prior internship or work experience at a top-tier financial institution
  • Publications or contributions to open-source projects in quantitative research

Required Skills

  • Proficiency in Python, R, or MATLAB for quantitative modeling and data analysis
  • Strong knowledge of statistical methods, including regression, time-series analysis, and Monte Carlo simulations
  • Experience with machine learning frameworks such as TensorFlow or scikit-learn applied to financial data
  • Understanding of financial instruments like options, futures, and swaps
  • Data visualization skills using tools like Tableau or ggplot2
  • SQL and database management for handling large-scale financial datasets
  • Problem-solving and analytical thinking in complex, high-stakes environments
  • Excellent communication skills for presenting technical concepts to non-technical audiences
  • Attention to detail and accuracy in model validation and error detection
  • Team collaboration and adaptability in a fast-paced financial services setting
  • Knowledge of version control systems like Git for code management
  • Familiarity with cloud computing platforms such as AWS or Azure for data processing
  • Risk assessment and ethical decision-making in quantitative research
  • Time management to handle multiple research projects simultaneously
  • Curiosity and continuous learning mindset for evolving quantitative techniques

Benefits

  • Competitive base salary and performance-based bonuses aligned with financial services industry standards
  • Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • Generous retirement savings plan with employer matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • Employee wellness programs, including gym memberships and mental health support
  • Flexible working arrangements with hybrid options in the London office
  • Access to global mobility programs and career progression paths within JPMorgan Chase

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

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, R, or MATLAB for quantitative modeling and data analysisintermediate
  • Strong knowledge of statistical methods, including regression, time-series analysis, and Monte Carlo simulationsintermediate
  • Experience with machine learning frameworks such as TensorFlow or scikit-learn applied to financial dataintermediate
  • Understanding of financial instruments like options, futures, and swapsintermediate
  • Data visualization skills using tools like Tableau or ggplot2intermediate
  • SQL and database management for handling large-scale financial datasetsintermediate
  • Problem-solving and analytical thinking in complex, high-stakes environmentsintermediate
  • Excellent communication skills for presenting technical concepts to non-technical audiencesintermediate
  • Attention to detail and accuracy in model validation and error detectionintermediate
  • Team collaboration and adaptability in a fast-paced financial services settingintermediate
  • Knowledge of version control systems like Git for code managementintermediate
  • Familiarity with cloud computing platforms such as AWS or Azure for data processingintermediate
  • Risk assessment and ethical decision-making in quantitative researchintermediate
  • Time management to handle multiple research projects simultaneouslyintermediate
  • Curiosity and continuous learning mindset for evolving quantitative techniquesintermediate

Required Qualifications

  • Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering (experience)
  • At least 2-5 years of prior professional experience in quantitative research, data analysis, or a related field in financial services (experience)
  • Demonstrated career break of at least 2 years, with strong motivation to relaunch in a quantitative role (experience)
  • Proficiency in programming languages used in financial modeling and data analysis (experience)
  • Understanding of financial markets, derivatives, or risk management concepts (experience)
  • Ability to obtain necessary work authorization in the UK (experience)
  • Commitment to JPMorgan Chase's core values of integrity, excellence, and teamwork (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline (experience)
  • Experience in quantitative finance, algorithmic trading, or machine learning applications in banking (experience)
  • Familiarity with regulatory environments in the financial sector, such as MiFID II or Basel III (experience)
  • Prior internship or work experience at a top-tier financial institution (experience)
  • Publications or contributions to open-source projects in quantitative research (experience)

Responsibilities

  • Conduct quantitative research to develop models for pricing, risk assessment, and portfolio optimization in JPMorgan Chase's trading and investment banking divisions
  • Analyze large datasets using statistical methods and machine learning techniques to identify market trends and trading opportunities
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to implement research findings into production systems
  • Backtest and validate quantitative models to ensure accuracy and compliance with internal and regulatory standards
  • Contribute to the development of algorithmic trading strategies for equities, fixed income, and derivatives markets
  • Perform sensitivity analysis and stress testing on financial models to support decision-making in volatile market conditions
  • Document research methodologies and present findings to senior stakeholders through reports and visualizations
  • Stay abreast of advancements in quantitative finance and integrate new techniques into JPMorgan Chase's research framework
  • Support the Global ReEntry Program by mentoring participants and fostering an inclusive return-to-work environment
  • Assist in data management tasks, including cleaning, preprocessing, and governance of financial datasets

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with financial services industry standards
  • general: Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • general: Generous retirement savings plan with employer matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • general: Employee wellness programs, including gym memberships and mental health support
  • general: Flexible working arrangements with hybrid options in the London office
  • general: Access to global mobility programs and career progression paths within JPMorgan Chase

Target Your Resume for "Quantitative Research - London - 2026 ReEntry Program" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Quantitative Research - London - 2026 ReEntry Program. Takes only 15 seconds!

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

Check Your ATS Score for "Quantitative Research - London - 2026 ReEntry Program" , 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

Data ManagementFinancial ServicesBankingJP MorganData Management

Answer 10 quick questions to check your fit for Quantitative Research - London - 2026 ReEntry Program @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.