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Quantitative Research Equity Exotics Vice President

JP Morgan Chase

Finance Jobs

Quantitative Research Equity Exotics Vice President

full-timePosted: Sep 29, 2025

Job Description

Quantitative Research Equity Exotics Vice President

Location: New York, NY, United States

Job Family: Data Management

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in investment banking and asset management. The Quantitative Research Equity Exotics Vice President role within our Markets division is pivotal in driving cutting-edge research to enhance our equity derivatives trading strategies. Based in our state-of-the-art New York office, you will join a dynamic team of quants and traders focused on exotic equity products, leveraging advanced data analytics to uncover profitable opportunities in volatile global markets. This position offers the chance to contribute to high-impact projects that directly influence billions in trading volume, while benefiting from JP Morgan's unparalleled resources and collaborative culture. As a Vice President in Quantitative Research, your primary focus will be on developing sophisticated, data-promoted investment strategies for equity exotics, including barrier options, variance swaps, and structured notes. You will conduct in-depth research using statistical models and machine learning to predict market behaviors, price complex instruments, and optimize hedging techniques. Collaborating closely with cross-functional teams, you will integrate your models into JP Morgan's proprietary trading platforms, ensuring robustness against market stress and regulatory scrutiny. This role demands a blend of theoretical expertise and practical application, where your work will support our clients—from hedge funds to corporations—in navigating the intricacies of equity markets. We seek candidates who thrive in a fast-paced environment and are passionate about pushing the boundaries of quantitative finance. At JP Morgan Chase, you will have access to world-class data sets, computational infrastructure, and mentorship from industry leaders. This position not only offers intellectual challenge but also significant career growth opportunities within our global institution, where innovation and excellence are at the core of our success. Join us to shape the future of equity exotics trading and make a lasting impact on the financial services landscape.

Key Responsibilities

  • Conduct advanced quantitative research to develop data-driven investment strategies for equity exotics products
  • Design and implement mathematical models for pricing, hedging, and risk assessment of complex equity derivatives
  • Analyze large datasets from financial markets to identify alpha-generating opportunities and market inefficiencies
  • Collaborate with trading, risk management, and technology teams to deploy strategies into production environments
  • Backtest and validate quantitative models using historical and real-time market data
  • Stay abreast of regulatory changes, market trends, and technological advancements in quantitative finance
  • Contribute to the development of proprietary tools and algorithms for equity exotics trading at JP Morgan Chase
  • Mentor junior quants and present research findings to senior stakeholders
  • Ensure compliance with internal risk policies and external regulations in all research activities
  • Optimize portfolio strategies to maximize returns while minimizing exposure in volatile equity markets

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field
  • At least 5 years of experience in quantitative research, modeling, or trading in equity derivatives or exotics
  • Strong proficiency in programming languages such as Python, C++, or R for financial modeling and data analysis
  • Deep understanding of equity markets, exotic derivatives pricing, and risk management principles
  • Experience with large-scale data analysis and machine learning techniques in financial contexts
  • Proven track record of developing and implementing investment strategies in a high-stakes financial environment
  • Ability to work collaboratively in a fast-paced team setting within a global investment bank

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or stochastic processes
  • Prior experience at a bulge-bracket investment bank like JP Morgan Chase in equity exotics or structured products
  • Familiarity with JPMorgan's proprietary trading systems and risk frameworks
  • Certification such as CFA, FRM, or CQF
  • Experience leading small teams in quantitative research projects

Required Skills

  • Advanced knowledge of stochastic calculus and partial differential equations
  • Expertise in equity derivatives pricing models (e.g., Black-Scholes, Heston)
  • Proficiency in Python for data science and machine learning libraries (e.g., NumPy, Pandas, TensorFlow)
  • Experience with C++ for high-performance computing in trading systems
  • Strong statistical analysis and time-series modeling skills
  • Familiarity with big data tools like Hadoop or Spark for financial datasets
  • Analytical problem-solving and critical thinking in complex financial scenarios
  • Excellent communication skills for presenting technical concepts to non-technical audiences
  • Attention to detail in model validation and error detection
  • Adaptability to fast-paced, high-pressure environments
  • Team collaboration and leadership in cross-functional projects
  • Knowledge of regulatory frameworks like Dodd-Frank and MiFID II
  • Risk management and scenario analysis expertise
  • Innovation in developing novel quantitative strategies
  • Proficiency in SQL for database querying in financial research

Benefits

  • Competitive base salary and performance-based bonus structure
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • On-site fitness centers, wellness programs, and mental health support
  • Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced knowledge of stochastic calculus and partial differential equationsintermediate
  • Expertise in equity derivatives pricing models (e.g., Black-Scholes, Heston)intermediate
  • Proficiency in Python for data science and machine learning libraries (e.g., NumPy, Pandas, TensorFlow)intermediate
  • Experience with C++ for high-performance computing in trading systemsintermediate
  • Strong statistical analysis and time-series modeling skillsintermediate
  • Familiarity with big data tools like Hadoop or Spark for financial datasetsintermediate
  • Analytical problem-solving and critical thinking in complex financial scenariosintermediate
  • Excellent communication skills for presenting technical concepts to non-technical audiencesintermediate
  • Attention to detail in model validation and error detectionintermediate
  • Adaptability to fast-paced, high-pressure environmentsintermediate
  • Team collaboration and leadership in cross-functional projectsintermediate
  • Knowledge of regulatory frameworks like Dodd-Frank and MiFID IIintermediate
  • Risk management and scenario analysis expertiseintermediate
  • Innovation in developing novel quantitative strategiesintermediate
  • Proficiency in SQL for database querying in financial researchintermediate

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field (experience)
  • At least 5 years of experience in quantitative research, modeling, or trading in equity derivatives or exotics (experience)
  • Strong proficiency in programming languages such as Python, C++, or R for financial modeling and data analysis (experience)
  • Deep understanding of equity markets, exotic derivatives pricing, and risk management principles (experience)
  • Experience with large-scale data analysis and machine learning techniques in financial contexts (experience)
  • Proven track record of developing and implementing investment strategies in a high-stakes financial environment (experience)
  • Ability to work collaboratively in a fast-paced team setting within a global investment bank (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or stochastic processes (experience)
  • Prior experience at a bulge-bracket investment bank like JP Morgan Chase in equity exotics or structured products (experience)
  • Familiarity with JPMorgan's proprietary trading systems and risk frameworks (experience)
  • Certification such as CFA, FRM, or CQF (experience)
  • Experience leading small teams in quantitative research projects (experience)

Responsibilities

  • Conduct advanced quantitative research to develop data-driven investment strategies for equity exotics products
  • Design and implement mathematical models for pricing, hedging, and risk assessment of complex equity derivatives
  • Analyze large datasets from financial markets to identify alpha-generating opportunities and market inefficiencies
  • Collaborate with trading, risk management, and technology teams to deploy strategies into production environments
  • Backtest and validate quantitative models using historical and real-time market data
  • Stay abreast of regulatory changes, market trends, and technological advancements in quantitative finance
  • Contribute to the development of proprietary tools and algorithms for equity exotics trading at JP Morgan Chase
  • Mentor junior quants and present research findings to senior stakeholders
  • Ensure compliance with internal risk policies and external regulations in all research activities
  • Optimize portfolio strategies to maximize returns while minimizing exposure in volatile equity markets

Benefits

  • general: Competitive base salary and performance-based bonus structure
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Global mobility opportunities within JP Morgan Chase's international network

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JP Morgan Chase logo

Quantitative Research Equity Exotics Vice President

JP Morgan Chase

Finance Jobs

Quantitative Research Equity Exotics Vice President

full-timePosted: Sep 29, 2025

Job Description

Quantitative Research Equity Exotics Vice President

Location: New York, NY, United States

Job Family: Data Management

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in investment banking and asset management. The Quantitative Research Equity Exotics Vice President role within our Markets division is pivotal in driving cutting-edge research to enhance our equity derivatives trading strategies. Based in our state-of-the-art New York office, you will join a dynamic team of quants and traders focused on exotic equity products, leveraging advanced data analytics to uncover profitable opportunities in volatile global markets. This position offers the chance to contribute to high-impact projects that directly influence billions in trading volume, while benefiting from JP Morgan's unparalleled resources and collaborative culture. As a Vice President in Quantitative Research, your primary focus will be on developing sophisticated, data-promoted investment strategies for equity exotics, including barrier options, variance swaps, and structured notes. You will conduct in-depth research using statistical models and machine learning to predict market behaviors, price complex instruments, and optimize hedging techniques. Collaborating closely with cross-functional teams, you will integrate your models into JP Morgan's proprietary trading platforms, ensuring robustness against market stress and regulatory scrutiny. This role demands a blend of theoretical expertise and practical application, where your work will support our clients—from hedge funds to corporations—in navigating the intricacies of equity markets. We seek candidates who thrive in a fast-paced environment and are passionate about pushing the boundaries of quantitative finance. At JP Morgan Chase, you will have access to world-class data sets, computational infrastructure, and mentorship from industry leaders. This position not only offers intellectual challenge but also significant career growth opportunities within our global institution, where innovation and excellence are at the core of our success. Join us to shape the future of equity exotics trading and make a lasting impact on the financial services landscape.

Key Responsibilities

  • Conduct advanced quantitative research to develop data-driven investment strategies for equity exotics products
  • Design and implement mathematical models for pricing, hedging, and risk assessment of complex equity derivatives
  • Analyze large datasets from financial markets to identify alpha-generating opportunities and market inefficiencies
  • Collaborate with trading, risk management, and technology teams to deploy strategies into production environments
  • Backtest and validate quantitative models using historical and real-time market data
  • Stay abreast of regulatory changes, market trends, and technological advancements in quantitative finance
  • Contribute to the development of proprietary tools and algorithms for equity exotics trading at JP Morgan Chase
  • Mentor junior quants and present research findings to senior stakeholders
  • Ensure compliance with internal risk policies and external regulations in all research activities
  • Optimize portfolio strategies to maximize returns while minimizing exposure in volatile equity markets

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field
  • At least 5 years of experience in quantitative research, modeling, or trading in equity derivatives or exotics
  • Strong proficiency in programming languages such as Python, C++, or R for financial modeling and data analysis
  • Deep understanding of equity markets, exotic derivatives pricing, and risk management principles
  • Experience with large-scale data analysis and machine learning techniques in financial contexts
  • Proven track record of developing and implementing investment strategies in a high-stakes financial environment
  • Ability to work collaboratively in a fast-paced team setting within a global investment bank

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or stochastic processes
  • Prior experience at a bulge-bracket investment bank like JP Morgan Chase in equity exotics or structured products
  • Familiarity with JPMorgan's proprietary trading systems and risk frameworks
  • Certification such as CFA, FRM, or CQF
  • Experience leading small teams in quantitative research projects

Required Skills

  • Advanced knowledge of stochastic calculus and partial differential equations
  • Expertise in equity derivatives pricing models (e.g., Black-Scholes, Heston)
  • Proficiency in Python for data science and machine learning libraries (e.g., NumPy, Pandas, TensorFlow)
  • Experience with C++ for high-performance computing in trading systems
  • Strong statistical analysis and time-series modeling skills
  • Familiarity with big data tools like Hadoop or Spark for financial datasets
  • Analytical problem-solving and critical thinking in complex financial scenarios
  • Excellent communication skills for presenting technical concepts to non-technical audiences
  • Attention to detail in model validation and error detection
  • Adaptability to fast-paced, high-pressure environments
  • Team collaboration and leadership in cross-functional projects
  • Knowledge of regulatory frameworks like Dodd-Frank and MiFID II
  • Risk management and scenario analysis expertise
  • Innovation in developing novel quantitative strategies
  • Proficiency in SQL for database querying in financial research

Benefits

  • Competitive base salary and performance-based bonus structure
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • On-site fitness centers, wellness programs, and mental health support
  • Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced knowledge of stochastic calculus and partial differential equationsintermediate
  • Expertise in equity derivatives pricing models (e.g., Black-Scholes, Heston)intermediate
  • Proficiency in Python for data science and machine learning libraries (e.g., NumPy, Pandas, TensorFlow)intermediate
  • Experience with C++ for high-performance computing in trading systemsintermediate
  • Strong statistical analysis and time-series modeling skillsintermediate
  • Familiarity with big data tools like Hadoop or Spark for financial datasetsintermediate
  • Analytical problem-solving and critical thinking in complex financial scenariosintermediate
  • Excellent communication skills for presenting technical concepts to non-technical audiencesintermediate
  • Attention to detail in model validation and error detectionintermediate
  • Adaptability to fast-paced, high-pressure environmentsintermediate
  • Team collaboration and leadership in cross-functional projectsintermediate
  • Knowledge of regulatory frameworks like Dodd-Frank and MiFID IIintermediate
  • Risk management and scenario analysis expertiseintermediate
  • Innovation in developing novel quantitative strategiesintermediate
  • Proficiency in SQL for database querying in financial researchintermediate

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field (experience)
  • At least 5 years of experience in quantitative research, modeling, or trading in equity derivatives or exotics (experience)
  • Strong proficiency in programming languages such as Python, C++, or R for financial modeling and data analysis (experience)
  • Deep understanding of equity markets, exotic derivatives pricing, and risk management principles (experience)
  • Experience with large-scale data analysis and machine learning techniques in financial contexts (experience)
  • Proven track record of developing and implementing investment strategies in a high-stakes financial environment (experience)
  • Ability to work collaboratively in a fast-paced team setting within a global investment bank (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or stochastic processes (experience)
  • Prior experience at a bulge-bracket investment bank like JP Morgan Chase in equity exotics or structured products (experience)
  • Familiarity with JPMorgan's proprietary trading systems and risk frameworks (experience)
  • Certification such as CFA, FRM, or CQF (experience)
  • Experience leading small teams in quantitative research projects (experience)

Responsibilities

  • Conduct advanced quantitative research to develop data-driven investment strategies for equity exotics products
  • Design and implement mathematical models for pricing, hedging, and risk assessment of complex equity derivatives
  • Analyze large datasets from financial markets to identify alpha-generating opportunities and market inefficiencies
  • Collaborate with trading, risk management, and technology teams to deploy strategies into production environments
  • Backtest and validate quantitative models using historical and real-time market data
  • Stay abreast of regulatory changes, market trends, and technological advancements in quantitative finance
  • Contribute to the development of proprietary tools and algorithms for equity exotics trading at JP Morgan Chase
  • Mentor junior quants and present research findings to senior stakeholders
  • Ensure compliance with internal risk policies and external regulations in all research activities
  • Optimize portfolio strategies to maximize returns while minimizing exposure in volatile equity markets

Benefits

  • general: Competitive base salary and performance-based bonus structure
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Global mobility opportunities within JP Morgan Chase's international network

Target Your Resume for "Quantitative Research Equity Exotics Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Quantitative Research Equity Exotics Vice President. Takes only 15 seconds!

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

Check Your ATS Score for "Quantitative Research Equity Exotics Vice President" , 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 Equity Exotics Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.