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Quantitative Research Analytics- Vice President

JP Morgan Chase

Finance Jobs

Quantitative Research Analytics- Vice President

full-timePosted: Sep 29, 2025

Job Description

Quantitative Research Analytics- Vice President

Location: Mumbai, Maharashtra, India

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, and our Quantitative Research Analytics team plays a pivotal role in powering our Markets division. As a Vice President in QR Analytics based in Mumbai, you will join a dynamic group of quants dedicated to developing and maintaining cutting-edge models for pricing and risk management. This role involves leveraging advanced mathematical and computational techniques to support trading activities across asset classes such as equities, fixed income, commodities, and FX. You will contribute to JPMorgan's commitment to robust risk frameworks, ensuring our global markets operations remain resilient in volatile environments. Working in our state-of-the-art Mumbai office, you will collaborate with international teams to deliver solutions that drive profitability and regulatory compliance. Your primary focus will be on building sophisticated libraries and models that enhance pricing accuracy and risk assessment for complex derivatives and structured products. This includes implementing stochastic processes, machine learning algorithms, and simulation-based approaches to model market behaviors under various scenarios. You will analyze vast datasets from JPMorgan's proprietary sources to calibrate models, perform backtesting, and validate outputs against real-world trading results. Additionally, you will partner with front-office traders and risk officers to translate business needs into quantitative solutions, fostering a culture of innovation within the firm. This position offers exposure to high-impact projects that directly influence JPMorgan's market-leading position in global finance. We seek individuals who thrive in a collaborative, intellectually stimulating environment and are passionate about applying quantitative expertise to solve real-world financial challenges. At JPMorgan Chase, you will have access to world-class resources, mentorship from senior quants, and opportunities for career growth in one of the industry's most prestigious institutions. Join us to shape the future of risk analytics and contribute to our mission of enabling clients to achieve their financial goals in an ever-evolving marketplace.

Key Responsibilities

  • Develop and maintain advanced quantitative models for pricing complex financial instruments across JPMorgan's Markets division
  • Conduct risk analytics, including stress testing and scenario analysis, to support trading and hedging strategies
  • Build and optimize libraries of reusable code for model calibration, simulation, and backtesting
  • Collaborate with traders, risk managers, and technology teams to integrate models into production systems
  • Perform model validation and documentation to ensure compliance with internal and regulatory standards
  • Analyze market data to identify trends and enhance predictive capabilities in risk management
  • Contribute to research initiatives on emerging technologies like AI and machine learning for quantitative finance
  • Monitor model performance and recommend improvements based on real-world trading outcomes
  • Support global teams in Mumbai and other locations by providing analytical insights for cross-asset class products

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field
  • Minimum of 5-7 years of experience in quantitative research, analytics, or modeling within the financial services industry
  • Proven expertise in developing and implementing advanced pricing and risk management models for derivatives and structured products
  • Strong programming proficiency in languages such as Python, C++, or R, with experience in handling large datasets
  • Deep understanding of financial markets, including equities, fixed income, commodities, and foreign exchange
  • Experience with regulatory requirements for risk modeling, such as Basel III or Dodd-Frank
  • Ability to work collaboratively in a fast-paced, global team environment at a leading investment bank like JPMorgan Chase

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or machine learning
  • Prior experience at a top-tier financial institution, such as JPMorgan Chase or a competitor, in markets risk or pricing analytics
  • Familiarity with JPMorgan's proprietary trading systems or similar high-frequency trading platforms
  • Certifications like FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst)
  • Experience in agile development methodologies applied to quantitative finance projects

Required Skills

  • Advanced mathematical modeling and stochastic calculus
  • Proficiency in Python, C++, and SQL for data analysis and model implementation
  • Expertise in Monte Carlo simulations and finite difference methods for pricing
  • Knowledge of risk metrics such as VaR, Expected Shortfall, and sensitivity analysis
  • Machine learning techniques applied to financial time series forecasting
  • Strong analytical and problem-solving abilities in high-pressure environments
  • Excellent communication skills for presenting complex models to non-technical stakeholders
  • Experience with big data tools like Hadoop or Spark for handling market datasets
  • Understanding of derivative instruments including options, swaps, and futures
  • Agile project management and version control with Git
  • Attention to detail in model validation and error handling
  • Team collaboration and leadership in cross-functional projects
  • Adaptability to evolving regulatory landscapes in global finance
  • Proficiency in statistical software like MATLAB or R

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JPMorgan's compensation philosophy
  • Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • Retirement savings plan with generous company matching contributions to support long-term financial security
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • Wellness programs including gym memberships, mental health support, and employee assistance services
  • Global mobility options with relocation assistance for international assignments
  • Stock purchase plan allowing participation in JPMorgan Chase's equity growth

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Advanced mathematical modeling and stochastic calculusintermediate
  • Proficiency in Python, C++, and SQL for data analysis and model implementationintermediate
  • Expertise in Monte Carlo simulations and finite difference methods for pricingintermediate
  • Knowledge of risk metrics such as VaR, Expected Shortfall, and sensitivity analysisintermediate
  • Machine learning techniques applied to financial time series forecastingintermediate
  • Strong analytical and problem-solving abilities in high-pressure environmentsintermediate
  • Excellent communication skills for presenting complex models to non-technical stakeholdersintermediate
  • Experience with big data tools like Hadoop or Spark for handling market datasetsintermediate
  • Understanding of derivative instruments including options, swaps, and futuresintermediate
  • Agile project management and version control with Gitintermediate
  • Attention to detail in model validation and error handlingintermediate
  • Team collaboration and leadership in cross-functional projectsintermediate
  • Adaptability to evolving regulatory landscapes in global financeintermediate
  • Proficiency in statistical software like MATLAB or Rintermediate

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field (experience)
  • Minimum of 5-7 years of experience in quantitative research, analytics, or modeling within the financial services industry (experience)
  • Proven expertise in developing and implementing advanced pricing and risk management models for derivatives and structured products (experience)
  • Strong programming proficiency in languages such as Python, C++, or R, with experience in handling large datasets (experience)
  • Deep understanding of financial markets, including equities, fixed income, commodities, and foreign exchange (experience)
  • Experience with regulatory requirements for risk modeling, such as Basel III or Dodd-Frank (experience)
  • Ability to work collaboratively in a fast-paced, global team environment at a leading investment bank like JPMorgan Chase (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or machine learning (experience)
  • Prior experience at a top-tier financial institution, such as JPMorgan Chase or a competitor, in markets risk or pricing analytics (experience)
  • Familiarity with JPMorgan's proprietary trading systems or similar high-frequency trading platforms (experience)
  • Certifications like FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) (experience)
  • Experience in agile development methodologies applied to quantitative finance projects (experience)

Responsibilities

  • Develop and maintain advanced quantitative models for pricing complex financial instruments across JPMorgan's Markets division
  • Conduct risk analytics, including stress testing and scenario analysis, to support trading and hedging strategies
  • Build and optimize libraries of reusable code for model calibration, simulation, and backtesting
  • Collaborate with traders, risk managers, and technology teams to integrate models into production systems
  • Perform model validation and documentation to ensure compliance with internal and regulatory standards
  • Analyze market data to identify trends and enhance predictive capabilities in risk management
  • Contribute to research initiatives on emerging technologies like AI and machine learning for quantitative finance
  • Monitor model performance and recommend improvements based on real-world trading outcomes
  • Support global teams in Mumbai and other locations by providing analytical insights for cross-asset class products

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JPMorgan's compensation philosophy
  • general: Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • general: Retirement savings plan with generous company matching contributions to support long-term financial security
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • general: Wellness programs including gym memberships, mental health support, and employee assistance services
  • general: Global mobility options with relocation assistance for international assignments
  • general: Stock purchase plan allowing participation in JPMorgan Chase's equity growth

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JP Morgan Chase logo

Quantitative Research Analytics- Vice President

JP Morgan Chase

Finance Jobs

Quantitative Research Analytics- Vice President

full-timePosted: Sep 29, 2025

Job Description

Quantitative Research Analytics- Vice President

Location: Mumbai, Maharashtra, India

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, and our Quantitative Research Analytics team plays a pivotal role in powering our Markets division. As a Vice President in QR Analytics based in Mumbai, you will join a dynamic group of quants dedicated to developing and maintaining cutting-edge models for pricing and risk management. This role involves leveraging advanced mathematical and computational techniques to support trading activities across asset classes such as equities, fixed income, commodities, and FX. You will contribute to JPMorgan's commitment to robust risk frameworks, ensuring our global markets operations remain resilient in volatile environments. Working in our state-of-the-art Mumbai office, you will collaborate with international teams to deliver solutions that drive profitability and regulatory compliance. Your primary focus will be on building sophisticated libraries and models that enhance pricing accuracy and risk assessment for complex derivatives and structured products. This includes implementing stochastic processes, machine learning algorithms, and simulation-based approaches to model market behaviors under various scenarios. You will analyze vast datasets from JPMorgan's proprietary sources to calibrate models, perform backtesting, and validate outputs against real-world trading results. Additionally, you will partner with front-office traders and risk officers to translate business needs into quantitative solutions, fostering a culture of innovation within the firm. This position offers exposure to high-impact projects that directly influence JPMorgan's market-leading position in global finance. We seek individuals who thrive in a collaborative, intellectually stimulating environment and are passionate about applying quantitative expertise to solve real-world financial challenges. At JPMorgan Chase, you will have access to world-class resources, mentorship from senior quants, and opportunities for career growth in one of the industry's most prestigious institutions. Join us to shape the future of risk analytics and contribute to our mission of enabling clients to achieve their financial goals in an ever-evolving marketplace.

Key Responsibilities

  • Develop and maintain advanced quantitative models for pricing complex financial instruments across JPMorgan's Markets division
  • Conduct risk analytics, including stress testing and scenario analysis, to support trading and hedging strategies
  • Build and optimize libraries of reusable code for model calibration, simulation, and backtesting
  • Collaborate with traders, risk managers, and technology teams to integrate models into production systems
  • Perform model validation and documentation to ensure compliance with internal and regulatory standards
  • Analyze market data to identify trends and enhance predictive capabilities in risk management
  • Contribute to research initiatives on emerging technologies like AI and machine learning for quantitative finance
  • Monitor model performance and recommend improvements based on real-world trading outcomes
  • Support global teams in Mumbai and other locations by providing analytical insights for cross-asset class products

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field
  • Minimum of 5-7 years of experience in quantitative research, analytics, or modeling within the financial services industry
  • Proven expertise in developing and implementing advanced pricing and risk management models for derivatives and structured products
  • Strong programming proficiency in languages such as Python, C++, or R, with experience in handling large datasets
  • Deep understanding of financial markets, including equities, fixed income, commodities, and foreign exchange
  • Experience with regulatory requirements for risk modeling, such as Basel III or Dodd-Frank
  • Ability to work collaboratively in a fast-paced, global team environment at a leading investment bank like JPMorgan Chase

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or machine learning
  • Prior experience at a top-tier financial institution, such as JPMorgan Chase or a competitor, in markets risk or pricing analytics
  • Familiarity with JPMorgan's proprietary trading systems or similar high-frequency trading platforms
  • Certifications like FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst)
  • Experience in agile development methodologies applied to quantitative finance projects

Required Skills

  • Advanced mathematical modeling and stochastic calculus
  • Proficiency in Python, C++, and SQL for data analysis and model implementation
  • Expertise in Monte Carlo simulations and finite difference methods for pricing
  • Knowledge of risk metrics such as VaR, Expected Shortfall, and sensitivity analysis
  • Machine learning techniques applied to financial time series forecasting
  • Strong analytical and problem-solving abilities in high-pressure environments
  • Excellent communication skills for presenting complex models to non-technical stakeholders
  • Experience with big data tools like Hadoop or Spark for handling market datasets
  • Understanding of derivative instruments including options, swaps, and futures
  • Agile project management and version control with Git
  • Attention to detail in model validation and error handling
  • Team collaboration and leadership in cross-functional projects
  • Adaptability to evolving regulatory landscapes in global finance
  • Proficiency in statistical software like MATLAB or R

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JPMorgan's compensation philosophy
  • Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • Retirement savings plan with generous company matching contributions to support long-term financial security
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • Wellness programs including gym memberships, mental health support, and employee assistance services
  • Global mobility options with relocation assistance for international assignments
  • Stock purchase plan allowing participation in JPMorgan Chase's equity growth

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 75,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Advanced mathematical modeling and stochastic calculusintermediate
  • Proficiency in Python, C++, and SQL for data analysis and model implementationintermediate
  • Expertise in Monte Carlo simulations and finite difference methods for pricingintermediate
  • Knowledge of risk metrics such as VaR, Expected Shortfall, and sensitivity analysisintermediate
  • Machine learning techniques applied to financial time series forecastingintermediate
  • Strong analytical and problem-solving abilities in high-pressure environmentsintermediate
  • Excellent communication skills for presenting complex models to non-technical stakeholdersintermediate
  • Experience with big data tools like Hadoop or Spark for handling market datasetsintermediate
  • Understanding of derivative instruments including options, swaps, and futuresintermediate
  • Agile project management and version control with Gitintermediate
  • Attention to detail in model validation and error handlingintermediate
  • Team collaboration and leadership in cross-functional projectsintermediate
  • Adaptability to evolving regulatory landscapes in global financeintermediate
  • Proficiency in statistical software like MATLAB or Rintermediate

Required Qualifications

  • Master's or PhD degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field (experience)
  • Minimum of 5-7 years of experience in quantitative research, analytics, or modeling within the financial services industry (experience)
  • Proven expertise in developing and implementing advanced pricing and risk management models for derivatives and structured products (experience)
  • Strong programming proficiency in languages such as Python, C++, or R, with experience in handling large datasets (experience)
  • Deep understanding of financial markets, including equities, fixed income, commodities, and foreign exchange (experience)
  • Experience with regulatory requirements for risk modeling, such as Basel III or Dodd-Frank (experience)
  • Ability to work collaboratively in a fast-paced, global team environment at a leading investment bank like JPMorgan Chase (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with publications in financial modeling or machine learning (experience)
  • Prior experience at a top-tier financial institution, such as JPMorgan Chase or a competitor, in markets risk or pricing analytics (experience)
  • Familiarity with JPMorgan's proprietary trading systems or similar high-frequency trading platforms (experience)
  • Certifications like FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) (experience)
  • Experience in agile development methodologies applied to quantitative finance projects (experience)

Responsibilities

  • Develop and maintain advanced quantitative models for pricing complex financial instruments across JPMorgan's Markets division
  • Conduct risk analytics, including stress testing and scenario analysis, to support trading and hedging strategies
  • Build and optimize libraries of reusable code for model calibration, simulation, and backtesting
  • Collaborate with traders, risk managers, and technology teams to integrate models into production systems
  • Perform model validation and documentation to ensure compliance with internal and regulatory standards
  • Analyze market data to identify trends and enhance predictive capabilities in risk management
  • Contribute to research initiatives on emerging technologies like AI and machine learning for quantitative finance
  • Monitor model performance and recommend improvements based on real-world trading outcomes
  • Support global teams in Mumbai and other locations by providing analytical insights for cross-asset class products

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JPMorgan's compensation philosophy
  • general: Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • general: Retirement savings plan with generous company matching contributions to support long-term financial security
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
  • general: Wellness programs including gym memberships, mental health support, and employee assistance services
  • general: Global mobility options with relocation assistance for international assignments
  • general: Stock purchase plan allowing participation in JPMorgan Chase's equity growth

Target Your Resume for "Quantitative Research Analytics- Vice President" , JP Morgan Chase

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

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

Check Your ATS Score for "Quantitative Research Analytics- 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

Risk Analytics/ModelingFinancial ServicesBankingJP MorganRisk Analytics/Modeling

Answer 10 quick questions to check your fit for Quantitative Research Analytics- Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.