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Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President

JP Morgan Chase

Finance Jobs

Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President

full-timePosted: Dec 10, 2025

Job Description

Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President

Location: Central and Western, Hong Kong Island, Hong Kong

Job Family: Algo Trading

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with a strong presence in Asia-Pacific, particularly in Hong Kong, where our Markets division drives innovative trading solutions for institutional clients. We are seeking a Quantitative Researcher for Systematic Volatility Trading at the Associate or Vice President level to join our Equity Systematic Volatility Trading team in APAC. In this role, you will contribute to the research and development of cutting-edge quantitative strategies that capture volatility opportunities in equity markets across the region. Leveraging JPMorgan's vast data resources and advanced technology infrastructure, you will play a key part in enhancing our systematic trading capabilities, focusing on areas such as volatility forecasting, options pricing, and algorithmic execution to deliver superior risk-adjusted returns for our clients and the firm. As a Quantitative Researcher, your primary focus will be on building sophisticated models that integrate statistical arbitrage, machine learning, and market microstructure analysis to inform trading decisions. You will collaborate with traders and engineers to transition research prototypes into production-ready systems, ensuring robustness against market volatility and regulatory scrutiny. This position offers exposure to high-impact projects within one of the world's largest investment banks, where your work directly influences billions in traded volume. The role demands a blend of theoretical rigor and practical implementation, set against the dynamic backdrop of Hong Kong's financial markets. At JPMorgan Chase, we value innovation, integrity, and diversity, providing a supportive environment for quantitative professionals to thrive. This opportunity is ideal for those passionate about applying advanced mathematics and computational techniques to real-world financial challenges. Join us to advance your career in systematic trading while contributing to JPMorgan's leadership in global markets.

Key Responsibilities

  • Develop and enhance quantitative models for systematic volatility trading strategies focused on equity markets in APAC
  • Conduct in-depth research on volatility dynamics, including implied and realized volatility forecasting using advanced statistical techniques
  • Collaborate with trading desks to design, backtest, and deploy algorithmic strategies that optimize risk-adjusted returns
  • Analyze large datasets from equity derivatives and market microstructure to identify trading opportunities and alpha signals
  • Implement machine learning and AI-driven approaches to improve model performance and automate strategy adjustments
  • Perform rigorous performance attribution and stress testing of trading models under various market scenarios
  • Work closely with cross-functional teams, including traders, risk managers, and technology specialists, to integrate research into live trading systems
  • Monitor and refine strategies in real-time, ensuring compliance with JPMorgan's risk policies and regulatory standards
  • Contribute to the innovation of new volatility products and systematic trading frameworks tailored to APAC client needs
  • Document research findings and present insights to senior management to support strategic decision-making

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related quantitative field from a top-tier university
  • Minimum of 3-5 years of experience in quantitative research, systematic trading, or volatility modeling within the financial services industry
  • Strong proficiency in programming languages such as Python, C++, or R for developing quantitative models and backtesting strategies
  • Deep understanding of equity derivatives, volatility surfaces, and systematic trading strategies in APAC markets
  • Proven track record of implementing and optimizing algorithmic trading models in a high-frequency or systematic environment
  • Experience with large-scale data analysis and statistical modeling using tools like MATLAB or similar
  • Ability to work in a fast-paced, collaborative team environment in Hong Kong's financial hub

Preferred Qualifications

  • PhD in a quantitative discipline with publications in volatility trading or machine learning applications in finance
  • Prior experience at a leading investment bank or hedge fund focusing on APAC equity markets
  • Familiarity with JPMorgan Chase's proprietary trading platforms and risk management systems
  • Knowledge of regulatory requirements for systematic trading in Hong Kong and broader APAC region
  • Hands-on experience with real-time data feeds and execution systems for volatility products

Required Skills

  • Advanced quantitative modeling and statistical analysis
  • Proficiency in Python, C++, or R for algorithmic development
  • Expertise in volatility modeling and derivatives pricing
  • Machine learning and AI techniques applied to financial data
  • Data mining and big data processing with tools like SQL or Hadoop
  • Backtesting and simulation of trading strategies
  • Risk management and portfolio optimization
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for presenting complex ideas
  • Team collaboration in a multicultural environment
  • Attention to detail in high-stakes financial research
  • Adaptability to fast-paced market conditions
  • Knowledge of APAC equity markets and regulations
  • Time management for multiple concurrent projects
  • Ethical judgment in handling sensitive financial data

Benefits

  • Competitive base salary and performance-based bonus structure aligned with JPMorgan's global compensation standards
  • Comprehensive health and wellness benefits, including medical, dental, and vision coverage for employees and dependents
  • Generous retirement savings plan with employer matching contributions to support long-term financial security
  • Paid time off, including vacation, sick leave, and parental leave policies to promote work-life balance
  • Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Relocation assistance for international hires moving to Hong Kong
  • On-site fitness facilities and wellness programs at JPMorgan's Hong Kong office

JP Morgan Chase is an equal opportunity employer.

Locations

  • Central and Western, HK

Salary

Estimated Salary Rangehigh confidence

250,000 - 500,000 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 quantitative modeling and statistical analysisintermediate
  • Proficiency in Python, C++, or R for algorithmic developmentintermediate
  • Expertise in volatility modeling and derivatives pricingintermediate
  • Machine learning and AI techniques applied to financial dataintermediate
  • Data mining and big data processing with tools like SQL or Hadoopintermediate
  • Backtesting and simulation of trading strategiesintermediate
  • Risk management and portfolio optimizationintermediate
  • Strong analytical and problem-solving abilitiesintermediate
  • Excellent communication skills for presenting complex ideasintermediate
  • Team collaboration in a multicultural environmentintermediate
  • Attention to detail in high-stakes financial researchintermediate
  • Adaptability to fast-paced market conditionsintermediate
  • Knowledge of APAC equity markets and regulationsintermediate
  • Time management for multiple concurrent projectsintermediate
  • Ethical judgment in handling sensitive financial dataintermediate

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related quantitative field from a top-tier university (experience)
  • Minimum of 3-5 years of experience in quantitative research, systematic trading, or volatility modeling within the financial services industry (experience)
  • Strong proficiency in programming languages such as Python, C++, or R for developing quantitative models and backtesting strategies (experience)
  • Deep understanding of equity derivatives, volatility surfaces, and systematic trading strategies in APAC markets (experience)
  • Proven track record of implementing and optimizing algorithmic trading models in a high-frequency or systematic environment (experience)
  • Experience with large-scale data analysis and statistical modeling using tools like MATLAB or similar (experience)
  • Ability to work in a fast-paced, collaborative team environment in Hong Kong's financial hub (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with publications in volatility trading or machine learning applications in finance (experience)
  • Prior experience at a leading investment bank or hedge fund focusing on APAC equity markets (experience)
  • Familiarity with JPMorgan Chase's proprietary trading platforms and risk management systems (experience)
  • Knowledge of regulatory requirements for systematic trading in Hong Kong and broader APAC region (experience)
  • Hands-on experience with real-time data feeds and execution systems for volatility products (experience)

Responsibilities

  • Develop and enhance quantitative models for systematic volatility trading strategies focused on equity markets in APAC
  • Conduct in-depth research on volatility dynamics, including implied and realized volatility forecasting using advanced statistical techniques
  • Collaborate with trading desks to design, backtest, and deploy algorithmic strategies that optimize risk-adjusted returns
  • Analyze large datasets from equity derivatives and market microstructure to identify trading opportunities and alpha signals
  • Implement machine learning and AI-driven approaches to improve model performance and automate strategy adjustments
  • Perform rigorous performance attribution and stress testing of trading models under various market scenarios
  • Work closely with cross-functional teams, including traders, risk managers, and technology specialists, to integrate research into live trading systems
  • Monitor and refine strategies in real-time, ensuring compliance with JPMorgan's risk policies and regulatory standards
  • Contribute to the innovation of new volatility products and systematic trading frameworks tailored to APAC client needs
  • Document research findings and present insights to senior management to support strategic decision-making

Benefits

  • general: Competitive base salary and performance-based bonus structure aligned with JPMorgan's global compensation standards
  • general: Comprehensive health and wellness benefits, including medical, dental, and vision coverage for employees and dependents
  • general: Generous retirement savings plan with employer matching contributions to support long-term financial security
  • general: Paid time off, including vacation, sick leave, and parental leave policies to promote work-life balance
  • general: Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Relocation assistance for international hires moving to Hong Kong
  • general: On-site fitness facilities and wellness programs at JPMorgan's Hong Kong office

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JP Morgan Chase logo

Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President

JP Morgan Chase

Finance Jobs

Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President

full-timePosted: Dec 10, 2025

Job Description

Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President

Location: Central and Western, Hong Kong Island, Hong Kong

Job Family: Algo Trading

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with a strong presence in Asia-Pacific, particularly in Hong Kong, where our Markets division drives innovative trading solutions for institutional clients. We are seeking a Quantitative Researcher for Systematic Volatility Trading at the Associate or Vice President level to join our Equity Systematic Volatility Trading team in APAC. In this role, you will contribute to the research and development of cutting-edge quantitative strategies that capture volatility opportunities in equity markets across the region. Leveraging JPMorgan's vast data resources and advanced technology infrastructure, you will play a key part in enhancing our systematic trading capabilities, focusing on areas such as volatility forecasting, options pricing, and algorithmic execution to deliver superior risk-adjusted returns for our clients and the firm. As a Quantitative Researcher, your primary focus will be on building sophisticated models that integrate statistical arbitrage, machine learning, and market microstructure analysis to inform trading decisions. You will collaborate with traders and engineers to transition research prototypes into production-ready systems, ensuring robustness against market volatility and regulatory scrutiny. This position offers exposure to high-impact projects within one of the world's largest investment banks, where your work directly influences billions in traded volume. The role demands a blend of theoretical rigor and practical implementation, set against the dynamic backdrop of Hong Kong's financial markets. At JPMorgan Chase, we value innovation, integrity, and diversity, providing a supportive environment for quantitative professionals to thrive. This opportunity is ideal for those passionate about applying advanced mathematics and computational techniques to real-world financial challenges. Join us to advance your career in systematic trading while contributing to JPMorgan's leadership in global markets.

Key Responsibilities

  • Develop and enhance quantitative models for systematic volatility trading strategies focused on equity markets in APAC
  • Conduct in-depth research on volatility dynamics, including implied and realized volatility forecasting using advanced statistical techniques
  • Collaborate with trading desks to design, backtest, and deploy algorithmic strategies that optimize risk-adjusted returns
  • Analyze large datasets from equity derivatives and market microstructure to identify trading opportunities and alpha signals
  • Implement machine learning and AI-driven approaches to improve model performance and automate strategy adjustments
  • Perform rigorous performance attribution and stress testing of trading models under various market scenarios
  • Work closely with cross-functional teams, including traders, risk managers, and technology specialists, to integrate research into live trading systems
  • Monitor and refine strategies in real-time, ensuring compliance with JPMorgan's risk policies and regulatory standards
  • Contribute to the innovation of new volatility products and systematic trading frameworks tailored to APAC client needs
  • Document research findings and present insights to senior management to support strategic decision-making

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related quantitative field from a top-tier university
  • Minimum of 3-5 years of experience in quantitative research, systematic trading, or volatility modeling within the financial services industry
  • Strong proficiency in programming languages such as Python, C++, or R for developing quantitative models and backtesting strategies
  • Deep understanding of equity derivatives, volatility surfaces, and systematic trading strategies in APAC markets
  • Proven track record of implementing and optimizing algorithmic trading models in a high-frequency or systematic environment
  • Experience with large-scale data analysis and statistical modeling using tools like MATLAB or similar
  • Ability to work in a fast-paced, collaborative team environment in Hong Kong's financial hub

Preferred Qualifications

  • PhD in a quantitative discipline with publications in volatility trading or machine learning applications in finance
  • Prior experience at a leading investment bank or hedge fund focusing on APAC equity markets
  • Familiarity with JPMorgan Chase's proprietary trading platforms and risk management systems
  • Knowledge of regulatory requirements for systematic trading in Hong Kong and broader APAC region
  • Hands-on experience with real-time data feeds and execution systems for volatility products

Required Skills

  • Advanced quantitative modeling and statistical analysis
  • Proficiency in Python, C++, or R for algorithmic development
  • Expertise in volatility modeling and derivatives pricing
  • Machine learning and AI techniques applied to financial data
  • Data mining and big data processing with tools like SQL or Hadoop
  • Backtesting and simulation of trading strategies
  • Risk management and portfolio optimization
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for presenting complex ideas
  • Team collaboration in a multicultural environment
  • Attention to detail in high-stakes financial research
  • Adaptability to fast-paced market conditions
  • Knowledge of APAC equity markets and regulations
  • Time management for multiple concurrent projects
  • Ethical judgment in handling sensitive financial data

Benefits

  • Competitive base salary and performance-based bonus structure aligned with JPMorgan's global compensation standards
  • Comprehensive health and wellness benefits, including medical, dental, and vision coverage for employees and dependents
  • Generous retirement savings plan with employer matching contributions to support long-term financial security
  • Paid time off, including vacation, sick leave, and parental leave policies to promote work-life balance
  • Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Relocation assistance for international hires moving to Hong Kong
  • On-site fitness facilities and wellness programs at JPMorgan's Hong Kong office

JP Morgan Chase is an equal opportunity employer.

Locations

  • Central and Western, HK

Salary

Estimated Salary Rangehigh confidence

250,000 - 500,000 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 quantitative modeling and statistical analysisintermediate
  • Proficiency in Python, C++, or R for algorithmic developmentintermediate
  • Expertise in volatility modeling and derivatives pricingintermediate
  • Machine learning and AI techniques applied to financial dataintermediate
  • Data mining and big data processing with tools like SQL or Hadoopintermediate
  • Backtesting and simulation of trading strategiesintermediate
  • Risk management and portfolio optimizationintermediate
  • Strong analytical and problem-solving abilitiesintermediate
  • Excellent communication skills for presenting complex ideasintermediate
  • Team collaboration in a multicultural environmentintermediate
  • Attention to detail in high-stakes financial researchintermediate
  • Adaptability to fast-paced market conditionsintermediate
  • Knowledge of APAC equity markets and regulationsintermediate
  • Time management for multiple concurrent projectsintermediate
  • Ethical judgment in handling sensitive financial dataintermediate

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Physics, Computer Science, or a related quantitative field from a top-tier university (experience)
  • Minimum of 3-5 years of experience in quantitative research, systematic trading, or volatility modeling within the financial services industry (experience)
  • Strong proficiency in programming languages such as Python, C++, or R for developing quantitative models and backtesting strategies (experience)
  • Deep understanding of equity derivatives, volatility surfaces, and systematic trading strategies in APAC markets (experience)
  • Proven track record of implementing and optimizing algorithmic trading models in a high-frequency or systematic environment (experience)
  • Experience with large-scale data analysis and statistical modeling using tools like MATLAB or similar (experience)
  • Ability to work in a fast-paced, collaborative team environment in Hong Kong's financial hub (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with publications in volatility trading or machine learning applications in finance (experience)
  • Prior experience at a leading investment bank or hedge fund focusing on APAC equity markets (experience)
  • Familiarity with JPMorgan Chase's proprietary trading platforms and risk management systems (experience)
  • Knowledge of regulatory requirements for systematic trading in Hong Kong and broader APAC region (experience)
  • Hands-on experience with real-time data feeds and execution systems for volatility products (experience)

Responsibilities

  • Develop and enhance quantitative models for systematic volatility trading strategies focused on equity markets in APAC
  • Conduct in-depth research on volatility dynamics, including implied and realized volatility forecasting using advanced statistical techniques
  • Collaborate with trading desks to design, backtest, and deploy algorithmic strategies that optimize risk-adjusted returns
  • Analyze large datasets from equity derivatives and market microstructure to identify trading opportunities and alpha signals
  • Implement machine learning and AI-driven approaches to improve model performance and automate strategy adjustments
  • Perform rigorous performance attribution and stress testing of trading models under various market scenarios
  • Work closely with cross-functional teams, including traders, risk managers, and technology specialists, to integrate research into live trading systems
  • Monitor and refine strategies in real-time, ensuring compliance with JPMorgan's risk policies and regulatory standards
  • Contribute to the innovation of new volatility products and systematic trading frameworks tailored to APAC client needs
  • Document research findings and present insights to senior management to support strategic decision-making

Benefits

  • general: Competitive base salary and performance-based bonus structure aligned with JPMorgan's global compensation standards
  • general: Comprehensive health and wellness benefits, including medical, dental, and vision coverage for employees and dependents
  • general: Generous retirement savings plan with employer matching contributions to support long-term financial security
  • general: Paid time off, including vacation, sick leave, and parental leave policies to promote work-life balance
  • general: Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Relocation assistance for international hires moving to Hong Kong
  • general: On-site fitness facilities and wellness programs at JPMorgan's Hong Kong office

Target Your Resume for "Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President. Takes only 15 seconds!

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

Check Your ATS Score for "Quantitative Researcher for Systematic Volatility Trading – Associate / 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

Algo TradingFinancial ServicesBankingJP MorganAlgo Trading

Answer 10 quick questions to check your fit for Quantitative Researcher for Systematic Volatility Trading – Associate / Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.