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Software Engineer II, Associate

JP Morgan Chase

Software and Technology Jobs

Software Engineer II, Associate

full-timePosted: Oct 8, 2025

Job Description

Software Engineer II, Associate

Location: Mumbai, Maharashtra, India

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in quantitative finance. As a Software Engineer II, Associate in our Mumbai office, you will play a pivotal role in collaborating with Quant Researchers to build and enhance cutting-edge quantitative models and algorithms that drive our trading, risk management, and investment strategies. This position is ideal for engineers passionate about applying technology to solve complex financial challenges in a dynamic, high-stakes environment. You will contribute to projects that leverage advanced computational techniques to analyze vast datasets, predict market behaviors, and optimize portfolio performance, all while adhering to the rigorous standards of one of the world's largest banks. Your day-to-day responsibilities will involve hands-on development of robust software solutions, from prototyping new algorithms to deploying production-ready systems. Working within our Corporate & Investment Bank division, you will integrate with multidisciplinary teams to ensure seamless functionality across trading platforms and analytical tools. At JP Morgan Chase, we value engineers who can bridge the gap between theoretical research and practical implementation, using tools like Python and C++ to create scalable, efficient code that supports real-time decision-making in global markets. This role offers exposure to sophisticated financial products, including derivatives and structured finance, enhancing your expertise in the intersection of technology and finance. We foster a culture of continuous learning and innovation, providing opportunities to work on impactful projects that influence billions in assets under management. In Mumbai, our state-of-the-art facility supports a collaborative atmosphere with access to global resources. If you thrive in a fast-paced setting and are eager to advance your career at a prestigious institution like JP Morgan Chase, this position will allow you to grow while contributing to the firm's leadership in quantitative finance.

Key Responsibilities

  • Collaborate closely with Quant Researchers to design, develop, and implement innovative quantitative models and algorithms for financial applications
  • Build and maintain scalable software systems that support trading strategies and risk analysis at JP Morgan Chase
  • Optimize code for performance in high-frequency trading and large-scale data processing environments
  • Integrate machine learning techniques to enhance predictive models for market forecasting
  • Conduct code reviews, testing, and debugging to ensure reliability and accuracy of financial algorithms
  • Work with cross-functional teams including traders, data scientists, and compliance officers to align technical solutions with business needs
  • Stay updated on emerging technologies and financial regulations to incorporate best practices
  • Document technical specifications and contribute to knowledge sharing within the team
  • Troubleshoot and resolve issues in production systems related to quantitative tools

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
  • At least 2-4 years of professional experience in software engineering, preferably in financial services or quantitative research environments
  • Strong proficiency in programming languages such as Python, C++, or Java
  • Experience with developing and optimizing quantitative models or algorithms
  • Familiarity with financial markets, derivatives, or risk management concepts
  • Ability to work collaboratively in cross-functional teams with researchers and traders
  • Excellent problem-solving skills and attention to detail

Preferred Qualifications

  • Master's degree or PhD in a quantitative discipline
  • Prior experience at a major financial institution like JP Morgan Chase
  • Knowledge of machine learning frameworks such as TensorFlow or PyTorch
  • Experience with high-performance computing or parallel processing
  • Certifications in cloud platforms like AWS or Azure

Required Skills

  • Proficiency in Python for quantitative modeling
  • Expertise in C++ for high-performance applications
  • Knowledge of Java or Scala for enterprise software development
  • Experience with SQL and NoSQL databases for financial data handling
  • Familiarity with machine learning and statistical analysis tools
  • Understanding of financial instruments like equities, fixed income, and derivatives
  • Strong analytical and quantitative problem-solving abilities
  • Excellent communication skills for technical and non-technical audiences
  • Agile development methodologies and version control with Git
  • Cloud computing experience, preferably AWS
  • Data visualization skills using tools like Tableau or Matplotlib
  • Risk management and compliance awareness in finance
  • Team collaboration and project management soft skills
  • Attention to detail in code quality and testing
  • Adaptability to fast-paced financial market environments

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan's compensation structure
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through internal training and tuition reimbursement
  • Employee wellness programs and gym memberships
  • Flexible work arrangements including hybrid options in Mumbai
  • Global mobility programs for career advancement within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangehigh confidence

25,000,000 - 45,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python for quantitative modelingintermediate
  • Expertise in C++ for high-performance applicationsintermediate
  • Knowledge of Java or Scala for enterprise software developmentintermediate
  • Experience with SQL and NoSQL databases for financial data handlingintermediate
  • Familiarity with machine learning and statistical analysis toolsintermediate
  • Understanding of financial instruments like equities, fixed income, and derivativesintermediate
  • Strong analytical and quantitative problem-solving abilitiesintermediate
  • Excellent communication skills for technical and non-technical audiencesintermediate
  • Agile development methodologies and version control with Gitintermediate
  • Cloud computing experience, preferably AWSintermediate
  • Data visualization skills using tools like Tableau or Matplotlibintermediate
  • Risk management and compliance awareness in financeintermediate
  • Team collaboration and project management soft skillsintermediate
  • Attention to detail in code quality and testingintermediate
  • Adaptability to fast-paced financial market environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field (experience)
  • At least 2-4 years of professional experience in software engineering, preferably in financial services or quantitative research environments (experience)
  • Strong proficiency in programming languages such as Python, C++, or Java (experience)
  • Experience with developing and optimizing quantitative models or algorithms (experience)
  • Familiarity with financial markets, derivatives, or risk management concepts (experience)
  • Ability to work collaboratively in cross-functional teams with researchers and traders (experience)
  • Excellent problem-solving skills and attention to detail (experience)

Preferred Qualifications

  • Master's degree or PhD in a quantitative discipline (experience)
  • Prior experience at a major financial institution like JP Morgan Chase (experience)
  • Knowledge of machine learning frameworks such as TensorFlow or PyTorch (experience)
  • Experience with high-performance computing or parallel processing (experience)
  • Certifications in cloud platforms like AWS or Azure (experience)

Responsibilities

  • Collaborate closely with Quant Researchers to design, develop, and implement innovative quantitative models and algorithms for financial applications
  • Build and maintain scalable software systems that support trading strategies and risk analysis at JP Morgan Chase
  • Optimize code for performance in high-frequency trading and large-scale data processing environments
  • Integrate machine learning techniques to enhance predictive models for market forecasting
  • Conduct code reviews, testing, and debugging to ensure reliability and accuracy of financial algorithms
  • Work with cross-functional teams including traders, data scientists, and compliance officers to align technical solutions with business needs
  • Stay updated on emerging technologies and financial regulations to incorporate best practices
  • Document technical specifications and contribute to knowledge sharing within the team
  • Troubleshoot and resolve issues in production systems related to quantitative tools

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan's compensation structure
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through internal training and tuition reimbursement
  • general: Employee wellness programs and gym memberships
  • general: Flexible work arrangements including hybrid options in Mumbai
  • general: Global mobility programs for career advancement within JP Morgan Chase

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JP Morgan Chase logo

Software Engineer II, Associate

JP Morgan Chase

Software and Technology Jobs

Software Engineer II, Associate

full-timePosted: Oct 8, 2025

Job Description

Software Engineer II, Associate

Location: Mumbai, Maharashtra, India

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in quantitative finance. As a Software Engineer II, Associate in our Mumbai office, you will play a pivotal role in collaborating with Quant Researchers to build and enhance cutting-edge quantitative models and algorithms that drive our trading, risk management, and investment strategies. This position is ideal for engineers passionate about applying technology to solve complex financial challenges in a dynamic, high-stakes environment. You will contribute to projects that leverage advanced computational techniques to analyze vast datasets, predict market behaviors, and optimize portfolio performance, all while adhering to the rigorous standards of one of the world's largest banks. Your day-to-day responsibilities will involve hands-on development of robust software solutions, from prototyping new algorithms to deploying production-ready systems. Working within our Corporate & Investment Bank division, you will integrate with multidisciplinary teams to ensure seamless functionality across trading platforms and analytical tools. At JP Morgan Chase, we value engineers who can bridge the gap between theoretical research and practical implementation, using tools like Python and C++ to create scalable, efficient code that supports real-time decision-making in global markets. This role offers exposure to sophisticated financial products, including derivatives and structured finance, enhancing your expertise in the intersection of technology and finance. We foster a culture of continuous learning and innovation, providing opportunities to work on impactful projects that influence billions in assets under management. In Mumbai, our state-of-the-art facility supports a collaborative atmosphere with access to global resources. If you thrive in a fast-paced setting and are eager to advance your career at a prestigious institution like JP Morgan Chase, this position will allow you to grow while contributing to the firm's leadership in quantitative finance.

Key Responsibilities

  • Collaborate closely with Quant Researchers to design, develop, and implement innovative quantitative models and algorithms for financial applications
  • Build and maintain scalable software systems that support trading strategies and risk analysis at JP Morgan Chase
  • Optimize code for performance in high-frequency trading and large-scale data processing environments
  • Integrate machine learning techniques to enhance predictive models for market forecasting
  • Conduct code reviews, testing, and debugging to ensure reliability and accuracy of financial algorithms
  • Work with cross-functional teams including traders, data scientists, and compliance officers to align technical solutions with business needs
  • Stay updated on emerging technologies and financial regulations to incorporate best practices
  • Document technical specifications and contribute to knowledge sharing within the team
  • Troubleshoot and resolve issues in production systems related to quantitative tools

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
  • At least 2-4 years of professional experience in software engineering, preferably in financial services or quantitative research environments
  • Strong proficiency in programming languages such as Python, C++, or Java
  • Experience with developing and optimizing quantitative models or algorithms
  • Familiarity with financial markets, derivatives, or risk management concepts
  • Ability to work collaboratively in cross-functional teams with researchers and traders
  • Excellent problem-solving skills and attention to detail

Preferred Qualifications

  • Master's degree or PhD in a quantitative discipline
  • Prior experience at a major financial institution like JP Morgan Chase
  • Knowledge of machine learning frameworks such as TensorFlow or PyTorch
  • Experience with high-performance computing or parallel processing
  • Certifications in cloud platforms like AWS or Azure

Required Skills

  • Proficiency in Python for quantitative modeling
  • Expertise in C++ for high-performance applications
  • Knowledge of Java or Scala for enterprise software development
  • Experience with SQL and NoSQL databases for financial data handling
  • Familiarity with machine learning and statistical analysis tools
  • Understanding of financial instruments like equities, fixed income, and derivatives
  • Strong analytical and quantitative problem-solving abilities
  • Excellent communication skills for technical and non-technical audiences
  • Agile development methodologies and version control with Git
  • Cloud computing experience, preferably AWS
  • Data visualization skills using tools like Tableau or Matplotlib
  • Risk management and compliance awareness in finance
  • Team collaboration and project management soft skills
  • Attention to detail in code quality and testing
  • Adaptability to fast-paced financial market environments

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan's compensation structure
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through internal training and tuition reimbursement
  • Employee wellness programs and gym memberships
  • Flexible work arrangements including hybrid options in Mumbai
  • Global mobility programs for career advancement within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangehigh confidence

25,000,000 - 45,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python for quantitative modelingintermediate
  • Expertise in C++ for high-performance applicationsintermediate
  • Knowledge of Java or Scala for enterprise software developmentintermediate
  • Experience with SQL and NoSQL databases for financial data handlingintermediate
  • Familiarity with machine learning and statistical analysis toolsintermediate
  • Understanding of financial instruments like equities, fixed income, and derivativesintermediate
  • Strong analytical and quantitative problem-solving abilitiesintermediate
  • Excellent communication skills for technical and non-technical audiencesintermediate
  • Agile development methodologies and version control with Gitintermediate
  • Cloud computing experience, preferably AWSintermediate
  • Data visualization skills using tools like Tableau or Matplotlibintermediate
  • Risk management and compliance awareness in financeintermediate
  • Team collaboration and project management soft skillsintermediate
  • Attention to detail in code quality and testingintermediate
  • Adaptability to fast-paced financial market environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field (experience)
  • At least 2-4 years of professional experience in software engineering, preferably in financial services or quantitative research environments (experience)
  • Strong proficiency in programming languages such as Python, C++, or Java (experience)
  • Experience with developing and optimizing quantitative models or algorithms (experience)
  • Familiarity with financial markets, derivatives, or risk management concepts (experience)
  • Ability to work collaboratively in cross-functional teams with researchers and traders (experience)
  • Excellent problem-solving skills and attention to detail (experience)

Preferred Qualifications

  • Master's degree or PhD in a quantitative discipline (experience)
  • Prior experience at a major financial institution like JP Morgan Chase (experience)
  • Knowledge of machine learning frameworks such as TensorFlow or PyTorch (experience)
  • Experience with high-performance computing or parallel processing (experience)
  • Certifications in cloud platforms like AWS or Azure (experience)

Responsibilities

  • Collaborate closely with Quant Researchers to design, develop, and implement innovative quantitative models and algorithms for financial applications
  • Build and maintain scalable software systems that support trading strategies and risk analysis at JP Morgan Chase
  • Optimize code for performance in high-frequency trading and large-scale data processing environments
  • Integrate machine learning techniques to enhance predictive models for market forecasting
  • Conduct code reviews, testing, and debugging to ensure reliability and accuracy of financial algorithms
  • Work with cross-functional teams including traders, data scientists, and compliance officers to align technical solutions with business needs
  • Stay updated on emerging technologies and financial regulations to incorporate best practices
  • Document technical specifications and contribute to knowledge sharing within the team
  • Troubleshoot and resolve issues in production systems related to quantitative tools

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan's compensation structure
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through internal training and tuition reimbursement
  • general: Employee wellness programs and gym memberships
  • general: Flexible work arrangements including hybrid options in Mumbai
  • general: Global mobility programs for career advancement within JP Morgan Chase

Target Your Resume for "Software Engineer II, Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer II, Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Software Engineer II, Associate" , 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 Software Engineer II, Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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