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Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead

JP Morgan Chase

Software and Technology Jobs

Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead

full-timePosted: Nov 13, 2025

Job Description

Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide. We operate in more than 60 countries, creating groundbreaking solutions for clients in over 100 markets. In our Corporate & Investment Bank division, we provide integrated solutions across advisory, financing, markets, and investor services to corporations, financial institutions, governments, and organizations. As a Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead in Jersey City, NJ, you will play a pivotal role in advancing our electronic trading capabilities. This position involves directing multiple technical areas, managing the activities of several departments, and collaborating across diverse technical domains to drive innovation in derivatives execution algorithms. You will lead efforts to build and enhance low-latency trading systems that support our global markets business, ensuring seamless integration with risk management and compliance frameworks. In this leadership role, you will oversee the design, development, and deployment of sophisticated algo strategies tailored to derivatives markets, including futures, options, and swaps. Working closely with quantitative analysts, traders, and infrastructure teams, you will champion the adoption of cutting-edge technologies like machine learning to optimize execution quality, minimize market impact, and enhance liquidity sourcing. Your responsibilities will extend to fostering a high-performance engineering culture, where agile practices and rigorous testing ensure robust, scalable solutions that meet the demands of a 24/7 trading environment. At JPMorgan Chase, we prioritize ethical innovation and regulatory adherence, and you will ensure all initiatives comply with key financial regulations while mitigating operational risks. This role offers the opportunity to influence the future of electronic trading at one of the world's most respected financial institutions. You will collaborate with senior executives to align engineering roadmaps with business strategy, driving measurable improvements in trading efficiency and profitability. Jersey City's state-of-the-art facilities provide a collaborative workspace equipped with the latest tools, supporting hybrid work models. Join us to leverage your expertise in a dynamic setting where your leadership can shape the next generation of derivatives trading technology.

Key Responsibilities

  • Lead the development and optimization of electronic trading algorithms for derivatives execution, ensuring low-latency and high-reliability performance
  • Direct multiple technical teams across software engineering, data science, and infrastructure to deliver scalable solutions
  • Collaborate with trading desks, risk management, and compliance teams to align engineering efforts with business objectives
  • Oversee the full software development lifecycle, from ideation and design to deployment and monitoring in production environments
  • Drive innovation in algo strategies, incorporating machine learning and AI to improve execution quality and market adaptability
  • Manage departmental budgets, resource allocation, and performance metrics to meet strategic goals
  • Ensure adherence to JPMorgan Chase's engineering standards, security protocols, and regulatory compliance
  • Foster a culture of continuous improvement, mentoring engineers and promoting best practices in code quality and testing
  • Partner with global stakeholders to integrate derivatives algos with broader trading platforms and risk systems
  • Monitor market trends and technological advancements to proactively enhance algo capabilities and mitigate risks

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 10+ years of experience in software engineering, with at least 5 years in financial services, particularly in derivatives trading systems
  • Proven leadership experience managing multiple engineering teams and departments in a high-stakes environment
  • Deep expertise in algorithmic trading, execution strategies, and low-latency systems for derivatives markets
  • Strong understanding of regulatory requirements in financial services, including SEC, CFTC, and MiFID II compliance
  • Experience with agile methodologies and cross-functional collaboration in global teams
  • Ability to thrive in a fast-paced, innovative environment with a focus on risk management and operational excellence

Preferred Qualifications

  • Advanced degree in Finance, Quantitative Finance, or related discipline
  • Prior experience at a major investment bank or trading firm leading algo development for equities or fixed income
  • Familiarity with cloud platforms like AWS or Azure in a regulated financial context
  • Certifications such as CFA, FRM, or AWS Certified Solutions Architect
  • Track record of delivering high-impact projects that enhance trading efficiency and reduce latency

Required Skills

  • Proficiency in programming languages such as Java, C++, or Python for high-frequency trading systems
  • Expertise in algorithmic trading platforms and execution venues for derivatives (e.g., futures, options)
  • Strong knowledge of market microstructure, order types, and liquidity provision in financial markets
  • Experience with real-time data processing, FIX protocol, and low-latency networking
  • Leadership and team management skills for directing cross-functional engineering teams
  • Analytical problem-solving abilities to optimize algo performance and troubleshoot issues
  • Communication skills for stakeholder engagement and presenting technical concepts to non-technical audiences
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines
  • Understanding of quantitative modeling and risk assessment in trading environments
  • Project management expertise using Agile/Scrum frameworks
  • Knowledge of cybersecurity best practices in financial software
  • Adaptability to regulatory changes and evolving market conditions
  • Mentoring and coaching skills to develop junior engineers

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company match
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness initiatives, and mental health support
  • Flexible work arrangements and hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 750,000 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 programming languages such as Java, C++, or Python for high-frequency trading systemsintermediate
  • Expertise in algorithmic trading platforms and execution venues for derivatives (e.g., futures, options)intermediate
  • Strong knowledge of market microstructure, order types, and liquidity provision in financial marketsintermediate
  • Experience with real-time data processing, FIX protocol, and low-latency networkingintermediate
  • Leadership and team management skills for directing cross-functional engineering teamsintermediate
  • Analytical problem-solving abilities to optimize algo performance and troubleshoot issuesintermediate
  • Communication skills for stakeholder engagement and presenting technical concepts to non-technical audiencesintermediate
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Understanding of quantitative modeling and risk assessment in trading environmentsintermediate
  • Project management expertise using Agile/Scrum frameworksintermediate
  • Knowledge of cybersecurity best practices in financial softwareintermediate
  • Adaptability to regulatory changes and evolving market conditionsintermediate
  • Mentoring and coaching skills to develop junior engineersintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 10+ years of experience in software engineering, with at least 5 years in financial services, particularly in derivatives trading systems (experience)
  • Proven leadership experience managing multiple engineering teams and departments in a high-stakes environment (experience)
  • Deep expertise in algorithmic trading, execution strategies, and low-latency systems for derivatives markets (experience)
  • Strong understanding of regulatory requirements in financial services, including SEC, CFTC, and MiFID II compliance (experience)
  • Experience with agile methodologies and cross-functional collaboration in global teams (experience)
  • Ability to thrive in a fast-paced, innovative environment with a focus on risk management and operational excellence (experience)

Preferred Qualifications

  • Advanced degree in Finance, Quantitative Finance, or related discipline (experience)
  • Prior experience at a major investment bank or trading firm leading algo development for equities or fixed income (experience)
  • Familiarity with cloud platforms like AWS or Azure in a regulated financial context (experience)
  • Certifications such as CFA, FRM, or AWS Certified Solutions Architect (experience)
  • Track record of delivering high-impact projects that enhance trading efficiency and reduce latency (experience)

Responsibilities

  • Lead the development and optimization of electronic trading algorithms for derivatives execution, ensuring low-latency and high-reliability performance
  • Direct multiple technical teams across software engineering, data science, and infrastructure to deliver scalable solutions
  • Collaborate with trading desks, risk management, and compliance teams to align engineering efforts with business objectives
  • Oversee the full software development lifecycle, from ideation and design to deployment and monitoring in production environments
  • Drive innovation in algo strategies, incorporating machine learning and AI to improve execution quality and market adaptability
  • Manage departmental budgets, resource allocation, and performance metrics to meet strategic goals
  • Ensure adherence to JPMorgan Chase's engineering standards, security protocols, and regulatory compliance
  • Foster a culture of continuous improvement, mentoring engineers and promoting best practices in code quality and testing
  • Partner with global stakeholders to integrate derivatives algos with broader trading platforms and risk systems
  • Monitor market trends and technological advancements to proactively enhance algo capabilities and mitigate risks

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company match
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness initiatives, and mental health support
  • general: Flexible work arrangements and hybrid options in Jersey City

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JP Morgan Chase logo

Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead

JP Morgan Chase

Software and Technology Jobs

Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead

full-timePosted: Nov 13, 2025

Job Description

Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide. We operate in more than 60 countries, creating groundbreaking solutions for clients in over 100 markets. In our Corporate & Investment Bank division, we provide integrated solutions across advisory, financing, markets, and investor services to corporations, financial institutions, governments, and organizations. As a Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead in Jersey City, NJ, you will play a pivotal role in advancing our electronic trading capabilities. This position involves directing multiple technical areas, managing the activities of several departments, and collaborating across diverse technical domains to drive innovation in derivatives execution algorithms. You will lead efforts to build and enhance low-latency trading systems that support our global markets business, ensuring seamless integration with risk management and compliance frameworks. In this leadership role, you will oversee the design, development, and deployment of sophisticated algo strategies tailored to derivatives markets, including futures, options, and swaps. Working closely with quantitative analysts, traders, and infrastructure teams, you will champion the adoption of cutting-edge technologies like machine learning to optimize execution quality, minimize market impact, and enhance liquidity sourcing. Your responsibilities will extend to fostering a high-performance engineering culture, where agile practices and rigorous testing ensure robust, scalable solutions that meet the demands of a 24/7 trading environment. At JPMorgan Chase, we prioritize ethical innovation and regulatory adherence, and you will ensure all initiatives comply with key financial regulations while mitigating operational risks. This role offers the opportunity to influence the future of electronic trading at one of the world's most respected financial institutions. You will collaborate with senior executives to align engineering roadmaps with business strategy, driving measurable improvements in trading efficiency and profitability. Jersey City's state-of-the-art facilities provide a collaborative workspace equipped with the latest tools, supporting hybrid work models. Join us to leverage your expertise in a dynamic setting where your leadership can shape the next generation of derivatives trading technology.

Key Responsibilities

  • Lead the development and optimization of electronic trading algorithms for derivatives execution, ensuring low-latency and high-reliability performance
  • Direct multiple technical teams across software engineering, data science, and infrastructure to deliver scalable solutions
  • Collaborate with trading desks, risk management, and compliance teams to align engineering efforts with business objectives
  • Oversee the full software development lifecycle, from ideation and design to deployment and monitoring in production environments
  • Drive innovation in algo strategies, incorporating machine learning and AI to improve execution quality and market adaptability
  • Manage departmental budgets, resource allocation, and performance metrics to meet strategic goals
  • Ensure adherence to JPMorgan Chase's engineering standards, security protocols, and regulatory compliance
  • Foster a culture of continuous improvement, mentoring engineers and promoting best practices in code quality and testing
  • Partner with global stakeholders to integrate derivatives algos with broader trading platforms and risk systems
  • Monitor market trends and technological advancements to proactively enhance algo capabilities and mitigate risks

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
  • 10+ years of experience in software engineering, with at least 5 years in financial services, particularly in derivatives trading systems
  • Proven leadership experience managing multiple engineering teams and departments in a high-stakes environment
  • Deep expertise in algorithmic trading, execution strategies, and low-latency systems for derivatives markets
  • Strong understanding of regulatory requirements in financial services, including SEC, CFTC, and MiFID II compliance
  • Experience with agile methodologies and cross-functional collaboration in global teams
  • Ability to thrive in a fast-paced, innovative environment with a focus on risk management and operational excellence

Preferred Qualifications

  • Advanced degree in Finance, Quantitative Finance, or related discipline
  • Prior experience at a major investment bank or trading firm leading algo development for equities or fixed income
  • Familiarity with cloud platforms like AWS or Azure in a regulated financial context
  • Certifications such as CFA, FRM, or AWS Certified Solutions Architect
  • Track record of delivering high-impact projects that enhance trading efficiency and reduce latency

Required Skills

  • Proficiency in programming languages such as Java, C++, or Python for high-frequency trading systems
  • Expertise in algorithmic trading platforms and execution venues for derivatives (e.g., futures, options)
  • Strong knowledge of market microstructure, order types, and liquidity provision in financial markets
  • Experience with real-time data processing, FIX protocol, and low-latency networking
  • Leadership and team management skills for directing cross-functional engineering teams
  • Analytical problem-solving abilities to optimize algo performance and troubleshoot issues
  • Communication skills for stakeholder engagement and presenting technical concepts to non-technical audiences
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines
  • Understanding of quantitative modeling and risk assessment in trading environments
  • Project management expertise using Agile/Scrum frameworks
  • Knowledge of cybersecurity best practices in financial software
  • Adaptability to regulatory changes and evolving market conditions
  • Mentoring and coaching skills to develop junior engineers

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company match
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, including tuition reimbursement and leadership training
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness initiatives, and mental health support
  • Flexible work arrangements and hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 750,000 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 programming languages such as Java, C++, or Python for high-frequency trading systemsintermediate
  • Expertise in algorithmic trading platforms and execution venues for derivatives (e.g., futures, options)intermediate
  • Strong knowledge of market microstructure, order types, and liquidity provision in financial marketsintermediate
  • Experience with real-time data processing, FIX protocol, and low-latency networkingintermediate
  • Leadership and team management skills for directing cross-functional engineering teamsintermediate
  • Analytical problem-solving abilities to optimize algo performance and troubleshoot issuesintermediate
  • Communication skills for stakeholder engagement and presenting technical concepts to non-technical audiencesintermediate
  • Familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelinesintermediate
  • Understanding of quantitative modeling and risk assessment in trading environmentsintermediate
  • Project management expertise using Agile/Scrum frameworksintermediate
  • Knowledge of cybersecurity best practices in financial softwareintermediate
  • Adaptability to regulatory changes and evolving market conditionsintermediate
  • Mentoring and coaching skills to develop junior engineersintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred (experience)
  • 10+ years of experience in software engineering, with at least 5 years in financial services, particularly in derivatives trading systems (experience)
  • Proven leadership experience managing multiple engineering teams and departments in a high-stakes environment (experience)
  • Deep expertise in algorithmic trading, execution strategies, and low-latency systems for derivatives markets (experience)
  • Strong understanding of regulatory requirements in financial services, including SEC, CFTC, and MiFID II compliance (experience)
  • Experience with agile methodologies and cross-functional collaboration in global teams (experience)
  • Ability to thrive in a fast-paced, innovative environment with a focus on risk management and operational excellence (experience)

Preferred Qualifications

  • Advanced degree in Finance, Quantitative Finance, or related discipline (experience)
  • Prior experience at a major investment bank or trading firm leading algo development for equities or fixed income (experience)
  • Familiarity with cloud platforms like AWS or Azure in a regulated financial context (experience)
  • Certifications such as CFA, FRM, or AWS Certified Solutions Architect (experience)
  • Track record of delivering high-impact projects that enhance trading efficiency and reduce latency (experience)

Responsibilities

  • Lead the development and optimization of electronic trading algorithms for derivatives execution, ensuring low-latency and high-reliability performance
  • Direct multiple technical teams across software engineering, data science, and infrastructure to deliver scalable solutions
  • Collaborate with trading desks, risk management, and compliance teams to align engineering efforts with business objectives
  • Oversee the full software development lifecycle, from ideation and design to deployment and monitoring in production environments
  • Drive innovation in algo strategies, incorporating machine learning and AI to improve execution quality and market adaptability
  • Manage departmental budgets, resource allocation, and performance metrics to meet strategic goals
  • Ensure adherence to JPMorgan Chase's engineering standards, security protocols, and regulatory compliance
  • Foster a culture of continuous improvement, mentoring engineers and promoting best practices in code quality and testing
  • Partner with global stakeholders to integrate derivatives algos with broader trading platforms and risk systems
  • Monitor market trends and technological advancements to proactively enhance algo capabilities and mitigate risks

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company match
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and leadership training
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness initiatives, and mental health support
  • general: Flexible work arrangements and hybrid options in Jersey City

Target Your Resume for "Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Senior Director of eSoftware Engineering - Derivatives Execution Algos Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.