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Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President

JP Morgan Chase

Finance Jobs

Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President

full-timePosted: Oct 7, 2025

Job Description

Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President

Location: New York, NY, United States

Job Family: Algo Trading

About the Role

At JP Morgan Chase, we are at the forefront of innovation in global financial markets, and our Automated Trading Strategies group plays a pivotal role in driving systematic trading excellence. As a Vice President and Market Microstructure - High Frequency Trading Specialist, you will join a dynamic team responsible for developing cutting-edge automated strategies across FX, Rates, Commodities, and Credit markets. Based in our state-of-the-art New York office, you will leverage deep insights into order book dynamics, liquidity provision, and execution algorithms to generate alpha in highly competitive electronic trading environments. This role demands a blend of quantitative rigor, programming expertise, and market intuition to design strategies that capitalize on fleeting microstructural inefficiencies while adhering to JP Morgan's stringent risk and compliance standards. Your day-to-day will involve collaborating with world-class quants, traders, and technologists to ideate, prototype, and deploy high-frequency trading models using JP Morgan's proprietary low-latency infrastructure. You will analyze vast streams of real-time market data to refine algorithms that optimize trade execution, minimize slippage, and enhance overall portfolio performance. Responsibilities extend to rigorous backtesting, live monitoring, and iterative improvements, ensuring strategies remain robust amid volatile market conditions. As part of a firm renowned for its leadership in electronic trading, you will contribute to initiatives that shape the future of automated markets, drawing on JP Morgan's unparalleled access to global liquidity and data resources. This position offers an unparalleled opportunity to advance your career in one of the world's most influential financial institutions. JP Morgan Chase values innovation, integrity, and impact, providing a supportive ecosystem for professional growth through mentorship, cutting-edge tools, and exposure to diverse asset classes. If you thrive in high-stakes settings and are passionate about pushing the boundaries of algorithmic trading, join us to help redefine market microstructure strategies that power our clients' success worldwide.

Key Responsibilities

  • Develop and optimize high-frequency trading strategies focused on market microstructure across FX, Rates, Commodities, and Credit markets
  • Analyze order flow data and market dynamics to identify alpha-generating opportunities in automated trading systems
  • Collaborate with quantitative researchers and traders to design, backtest, and deploy algorithmic models using JP Morgan's proprietary platforms
  • Implement low-latency execution algorithms to minimize market impact and enhance liquidity provision
  • Monitor and refine trading strategies in real-time, incorporating feedback from live market conditions and performance metrics
  • Ensure compliance with internal risk controls and external regulations governing automated trading activities
  • Conduct post-trade analysis to evaluate strategy performance and iterate on improvements for better PnL outcomes
  • Partner with technology teams to integrate trading strategies with JP Morgan's infrastructure, including data feeds and execution engines
  • Contribute to the evolution of the Automated Trading Strategies group by mentoring junior staff and sharing microstructure insights

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Physics, Financial Engineering, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 5+ years of experience in high-frequency trading, market microstructure, or automated trading strategies within financial markets
  • Proven track record in developing and deploying algorithmic trading systems in FX, Rates, Commodities, or Credit asset classes
  • Strong programming proficiency in languages such as C++, Python, or Java, with experience in low-latency systems
  • Deep understanding of market microstructure, including order book dynamics, liquidity provision, and execution algorithms
  • Experience with regulatory compliance in automated trading, such as SEC and CFTC requirements for high-frequency strategies
  • Ability to work in a fast-paced, high-stakes environment with a focus on risk management and performance optimization

Preferred Qualifications

  • Experience at a top-tier investment bank or proprietary trading firm, ideally with exposure to JP Morgan Chase's trading platforms
  • Familiarity with machine learning techniques applied to trading signals and predictive modeling in electronic markets
  • Prior involvement in cross-asset strategy development, particularly integrating FX and Rates for automated execution
  • Publications or contributions to open-source projects in quantitative finance or algorithmic trading
  • CFA, FRM, or equivalent certification demonstrating expertise in financial markets and derivatives

Required Skills

  • Expertise in market microstructure theory and high-frequency trading mechanics
  • Proficiency in C++ for low-latency application development
  • Advanced Python scripting for data analysis and strategy prototyping
  • Knowledge of electronic trading platforms and FIX protocol
  • Quantitative modeling skills using stochastic processes and time-series analysis
  • Risk management techniques for automated strategies, including VaR and stress testing
  • Machine learning frameworks like TensorFlow or scikit-learn for signal generation
  • Database querying with SQL for handling large-scale market data
  • Strong analytical problem-solving in dynamic financial environments
  • Effective communication for cross-functional collaboration with traders and engineers
  • Attention to detail in code review and strategy validation
  • Adaptability to rapidly evolving market regulations and technology
  • Team-oriented mindset for contributing to group-wide trading initiatives
  • Financial acumen in derivatives pricing and cross-asset correlations

Benefits

  • Competitive base salary and performance-based bonus structure aligned with JP Morgan's compensation philosophy
  • Comprehensive health, dental, and vision insurance plans with employer contributions
  • 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • Paid time off including vacation, sick days, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Wellness programs including gym memberships, mental health support, and employee assistance services
  • Flexible work arrangements and hybrid options for work-life balance in New York
  • Access to JP Morgan's global mobility programs for career advancement across offices

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 800,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in market microstructure theory and high-frequency trading mechanicsintermediate
  • Proficiency in C++ for low-latency application developmentintermediate
  • Advanced Python scripting for data analysis and strategy prototypingintermediate
  • Knowledge of electronic trading platforms and FIX protocolintermediate
  • Quantitative modeling skills using stochastic processes and time-series analysisintermediate
  • Risk management techniques for automated strategies, including VaR and stress testingintermediate
  • Machine learning frameworks like TensorFlow or scikit-learn for signal generationintermediate
  • Database querying with SQL for handling large-scale market dataintermediate
  • Strong analytical problem-solving in dynamic financial environmentsintermediate
  • Effective communication for cross-functional collaboration with traders and engineersintermediate
  • Attention to detail in code review and strategy validationintermediate
  • Adaptability to rapidly evolving market regulations and technologyintermediate
  • Team-oriented mindset for contributing to group-wide trading initiativesintermediate
  • Financial acumen in derivatives pricing and cross-asset correlationsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Physics, Financial Engineering, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 5+ years of experience in high-frequency trading, market microstructure, or automated trading strategies within financial markets (experience)
  • Proven track record in developing and deploying algorithmic trading systems in FX, Rates, Commodities, or Credit asset classes (experience)
  • Strong programming proficiency in languages such as C++, Python, or Java, with experience in low-latency systems (experience)
  • Deep understanding of market microstructure, including order book dynamics, liquidity provision, and execution algorithms (experience)
  • Experience with regulatory compliance in automated trading, such as SEC and CFTC requirements for high-frequency strategies (experience)
  • Ability to work in a fast-paced, high-stakes environment with a focus on risk management and performance optimization (experience)

Preferred Qualifications

  • Experience at a top-tier investment bank or proprietary trading firm, ideally with exposure to JP Morgan Chase's trading platforms (experience)
  • Familiarity with machine learning techniques applied to trading signals and predictive modeling in electronic markets (experience)
  • Prior involvement in cross-asset strategy development, particularly integrating FX and Rates for automated execution (experience)
  • Publications or contributions to open-source projects in quantitative finance or algorithmic trading (experience)
  • CFA, FRM, or equivalent certification demonstrating expertise in financial markets and derivatives (experience)

Responsibilities

  • Develop and optimize high-frequency trading strategies focused on market microstructure across FX, Rates, Commodities, and Credit markets
  • Analyze order flow data and market dynamics to identify alpha-generating opportunities in automated trading systems
  • Collaborate with quantitative researchers and traders to design, backtest, and deploy algorithmic models using JP Morgan's proprietary platforms
  • Implement low-latency execution algorithms to minimize market impact and enhance liquidity provision
  • Monitor and refine trading strategies in real-time, incorporating feedback from live market conditions and performance metrics
  • Ensure compliance with internal risk controls and external regulations governing automated trading activities
  • Conduct post-trade analysis to evaluate strategy performance and iterate on improvements for better PnL outcomes
  • Partner with technology teams to integrate trading strategies with JP Morgan's infrastructure, including data feeds and execution engines
  • Contribute to the evolution of the Automated Trading Strategies group by mentoring junior staff and sharing microstructure insights

Benefits

  • general: Competitive base salary and performance-based bonus structure aligned with JP Morgan's compensation philosophy
  • general: Comprehensive health, dental, and vision insurance plans with employer contributions
  • general: 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • general: Paid time off including vacation, sick days, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Wellness programs including gym memberships, mental health support, and employee assistance services
  • general: Flexible work arrangements and hybrid options for work-life balance in New York
  • general: Access to JP Morgan's global mobility programs for career advancement across offices

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JP Morgan Chase logo

Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President

JP Morgan Chase

Finance Jobs

Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President

full-timePosted: Oct 7, 2025

Job Description

Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President

Location: New York, NY, United States

Job Family: Algo Trading

About the Role

At JP Morgan Chase, we are at the forefront of innovation in global financial markets, and our Automated Trading Strategies group plays a pivotal role in driving systematic trading excellence. As a Vice President and Market Microstructure - High Frequency Trading Specialist, you will join a dynamic team responsible for developing cutting-edge automated strategies across FX, Rates, Commodities, and Credit markets. Based in our state-of-the-art New York office, you will leverage deep insights into order book dynamics, liquidity provision, and execution algorithms to generate alpha in highly competitive electronic trading environments. This role demands a blend of quantitative rigor, programming expertise, and market intuition to design strategies that capitalize on fleeting microstructural inefficiencies while adhering to JP Morgan's stringent risk and compliance standards. Your day-to-day will involve collaborating with world-class quants, traders, and technologists to ideate, prototype, and deploy high-frequency trading models using JP Morgan's proprietary low-latency infrastructure. You will analyze vast streams of real-time market data to refine algorithms that optimize trade execution, minimize slippage, and enhance overall portfolio performance. Responsibilities extend to rigorous backtesting, live monitoring, and iterative improvements, ensuring strategies remain robust amid volatile market conditions. As part of a firm renowned for its leadership in electronic trading, you will contribute to initiatives that shape the future of automated markets, drawing on JP Morgan's unparalleled access to global liquidity and data resources. This position offers an unparalleled opportunity to advance your career in one of the world's most influential financial institutions. JP Morgan Chase values innovation, integrity, and impact, providing a supportive ecosystem for professional growth through mentorship, cutting-edge tools, and exposure to diverse asset classes. If you thrive in high-stakes settings and are passionate about pushing the boundaries of algorithmic trading, join us to help redefine market microstructure strategies that power our clients' success worldwide.

Key Responsibilities

  • Develop and optimize high-frequency trading strategies focused on market microstructure across FX, Rates, Commodities, and Credit markets
  • Analyze order flow data and market dynamics to identify alpha-generating opportunities in automated trading systems
  • Collaborate with quantitative researchers and traders to design, backtest, and deploy algorithmic models using JP Morgan's proprietary platforms
  • Implement low-latency execution algorithms to minimize market impact and enhance liquidity provision
  • Monitor and refine trading strategies in real-time, incorporating feedback from live market conditions and performance metrics
  • Ensure compliance with internal risk controls and external regulations governing automated trading activities
  • Conduct post-trade analysis to evaluate strategy performance and iterate on improvements for better PnL outcomes
  • Partner with technology teams to integrate trading strategies with JP Morgan's infrastructure, including data feeds and execution engines
  • Contribute to the evolution of the Automated Trading Strategies group by mentoring junior staff and sharing microstructure insights

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Physics, Financial Engineering, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 5+ years of experience in high-frequency trading, market microstructure, or automated trading strategies within financial markets
  • Proven track record in developing and deploying algorithmic trading systems in FX, Rates, Commodities, or Credit asset classes
  • Strong programming proficiency in languages such as C++, Python, or Java, with experience in low-latency systems
  • Deep understanding of market microstructure, including order book dynamics, liquidity provision, and execution algorithms
  • Experience with regulatory compliance in automated trading, such as SEC and CFTC requirements for high-frequency strategies
  • Ability to work in a fast-paced, high-stakes environment with a focus on risk management and performance optimization

Preferred Qualifications

  • Experience at a top-tier investment bank or proprietary trading firm, ideally with exposure to JP Morgan Chase's trading platforms
  • Familiarity with machine learning techniques applied to trading signals and predictive modeling in electronic markets
  • Prior involvement in cross-asset strategy development, particularly integrating FX and Rates for automated execution
  • Publications or contributions to open-source projects in quantitative finance or algorithmic trading
  • CFA, FRM, or equivalent certification demonstrating expertise in financial markets and derivatives

Required Skills

  • Expertise in market microstructure theory and high-frequency trading mechanics
  • Proficiency in C++ for low-latency application development
  • Advanced Python scripting for data analysis and strategy prototyping
  • Knowledge of electronic trading platforms and FIX protocol
  • Quantitative modeling skills using stochastic processes and time-series analysis
  • Risk management techniques for automated strategies, including VaR and stress testing
  • Machine learning frameworks like TensorFlow or scikit-learn for signal generation
  • Database querying with SQL for handling large-scale market data
  • Strong analytical problem-solving in dynamic financial environments
  • Effective communication for cross-functional collaboration with traders and engineers
  • Attention to detail in code review and strategy validation
  • Adaptability to rapidly evolving market regulations and technology
  • Team-oriented mindset for contributing to group-wide trading initiatives
  • Financial acumen in derivatives pricing and cross-asset correlations

Benefits

  • Competitive base salary and performance-based bonus structure aligned with JP Morgan's compensation philosophy
  • Comprehensive health, dental, and vision insurance plans with employer contributions
  • 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • Paid time off including vacation, sick days, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Wellness programs including gym memberships, mental health support, and employee assistance services
  • Flexible work arrangements and hybrid options for work-life balance in New York
  • Access to JP Morgan's global mobility programs for career advancement across offices

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 800,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in market microstructure theory and high-frequency trading mechanicsintermediate
  • Proficiency in C++ for low-latency application developmentintermediate
  • Advanced Python scripting for data analysis and strategy prototypingintermediate
  • Knowledge of electronic trading platforms and FIX protocolintermediate
  • Quantitative modeling skills using stochastic processes and time-series analysisintermediate
  • Risk management techniques for automated strategies, including VaR and stress testingintermediate
  • Machine learning frameworks like TensorFlow or scikit-learn for signal generationintermediate
  • Database querying with SQL for handling large-scale market dataintermediate
  • Strong analytical problem-solving in dynamic financial environmentsintermediate
  • Effective communication for cross-functional collaboration with traders and engineersintermediate
  • Attention to detail in code review and strategy validationintermediate
  • Adaptability to rapidly evolving market regulations and technologyintermediate
  • Team-oriented mindset for contributing to group-wide trading initiativesintermediate
  • Financial acumen in derivatives pricing and cross-asset correlationsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Physics, Financial Engineering, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 5+ years of experience in high-frequency trading, market microstructure, or automated trading strategies within financial markets (experience)
  • Proven track record in developing and deploying algorithmic trading systems in FX, Rates, Commodities, or Credit asset classes (experience)
  • Strong programming proficiency in languages such as C++, Python, or Java, with experience in low-latency systems (experience)
  • Deep understanding of market microstructure, including order book dynamics, liquidity provision, and execution algorithms (experience)
  • Experience with regulatory compliance in automated trading, such as SEC and CFTC requirements for high-frequency strategies (experience)
  • Ability to work in a fast-paced, high-stakes environment with a focus on risk management and performance optimization (experience)

Preferred Qualifications

  • Experience at a top-tier investment bank or proprietary trading firm, ideally with exposure to JP Morgan Chase's trading platforms (experience)
  • Familiarity with machine learning techniques applied to trading signals and predictive modeling in electronic markets (experience)
  • Prior involvement in cross-asset strategy development, particularly integrating FX and Rates for automated execution (experience)
  • Publications or contributions to open-source projects in quantitative finance or algorithmic trading (experience)
  • CFA, FRM, or equivalent certification demonstrating expertise in financial markets and derivatives (experience)

Responsibilities

  • Develop and optimize high-frequency trading strategies focused on market microstructure across FX, Rates, Commodities, and Credit markets
  • Analyze order flow data and market dynamics to identify alpha-generating opportunities in automated trading systems
  • Collaborate with quantitative researchers and traders to design, backtest, and deploy algorithmic models using JP Morgan's proprietary platforms
  • Implement low-latency execution algorithms to minimize market impact and enhance liquidity provision
  • Monitor and refine trading strategies in real-time, incorporating feedback from live market conditions and performance metrics
  • Ensure compliance with internal risk controls and external regulations governing automated trading activities
  • Conduct post-trade analysis to evaluate strategy performance and iterate on improvements for better PnL outcomes
  • Partner with technology teams to integrate trading strategies with JP Morgan's infrastructure, including data feeds and execution engines
  • Contribute to the evolution of the Automated Trading Strategies group by mentoring junior staff and sharing microstructure insights

Benefits

  • general: Competitive base salary and performance-based bonus structure aligned with JP Morgan's compensation philosophy
  • general: Comprehensive health, dental, and vision insurance plans with employer contributions
  • general: 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • general: Paid time off including vacation, sick days, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Wellness programs including gym memberships, mental health support, and employee assistance services
  • general: Flexible work arrangements and hybrid options for work-life balance in New York
  • general: Access to JP Morgan's global mobility programs for career advancement across offices

Target Your Resume for "Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President. Takes only 15 seconds!

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

Check Your ATS Score for "Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - 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 Market Microstructure - High Frequency Trading Specialist - Automated Trading Strategies - Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.