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Investment Risk & Analytics - Quant Modeling Associate

JP Morgan Chase

Finance Jobs

Investment Risk & Analytics - Quant Modeling Associate

full-timePosted: Sep 8, 2025

Job Description

Investment Risk & Analytics - Quant Modeling Associate

Location: Mumbai, Maharashtra, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client-focused solutions. The Investment Risk & Analytics - Quant Modeling Associate role within our Corporate & Investment Bank division in Mumbai plays a pivotal part in safeguarding and optimizing our vast investment portfolios. As a Quant Modeling Associate, you will leverage cutting-edge predictive science to develop sophisticated models that assess and mitigate risks across equities, fixed income, and alternative assets. This position offers the opportunity to work on high-impact projects that influence strategic decisions for institutional clients worldwide, contributing to JP Morgan Chase's reputation as a trusted partner in the financial industry. In this role, you will dive deep into quantitative analysis, building and refining models that incorporate advanced statistical techniques and machine learning to predict market behaviors and stress-test portfolios under various scenarios. Collaborating with teams in Asset & Wealth Management and Risk Management, you will ensure our investment strategies remain robust against economic uncertainties, regulatory shifts like Basel IV, and geopolitical events. Your work will directly support JP Morgan Chase's commitment to delivering superior risk-adjusted returns, while fostering a culture of analytical excellence in our state-of-the-art Mumbai technology hub. We seek driven professionals who thrive in a collaborative, innovative environment and are passionate about the intersection of finance and technology. Joining JP Morgan Chase means access to unparalleled resources, mentorship from industry leaders, and the chance to advance your career in one of the world's most dynamic financial centers. If you are ready to apply your quantitative expertise to real-world challenges that shape global markets, this role at JP Morgan Chase in Mumbai is an exceptional platform for growth and impact.

Key Responsibilities

  • Develop and implement quantitative models for investment risk assessment, including stress testing and scenario analysis for JP Morgan Chase's global portfolios
  • Analyze market data and financial instruments to identify potential risks and opportunities, ensuring compliance with internal and regulatory standards
  • Collaborate with cross-functional teams in Asset & Wealth Management to integrate risk models into investment strategies and decision-making processes
  • Perform back-testing and validation of predictive models to enhance accuracy and reliability in volatile market conditions
  • Utilize advanced statistical techniques and machine learning algorithms to forecast investment performance and mitigate downside risks
  • Contribute to the enhancement of JP Morgan Chase's risk analytics infrastructure, including data pipelines and visualization tools
  • Monitor and report on key risk metrics for senior management, providing actionable insights to support strategic initiatives
  • Stay abreast of evolving financial regulations and industry best practices to refine modeling approaches
  • Support ad-hoc quantitative projects, such as portfolio optimization and counterparty risk evaluation

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; Master's or PhD preferred
  • 3-5 years of experience in quantitative modeling, risk analytics, or financial engineering within the banking or investment sector
  • Strong proficiency in statistical modeling and predictive analytics, with hands-on experience in risk assessment for investment portfolios
  • Familiarity with regulatory frameworks such as Basel III, Dodd-Frank, and CCAR relevant to investment risk management at JP Morgan Chase
  • Experience working with large datasets in financial markets, including equities, fixed income, and derivatives
  • Ability to collaborate in a global team environment, with excellent communication skills for presenting complex models to stakeholders

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline from a top-tier institution
  • Prior experience at a major financial institution like JP Morgan Chase, focusing on asset management or corporate investment banking
  • Certifications such as CFA, FRM, or CQF to demonstrate expertise in financial risk and quantitative analysis
  • Proven track record in developing machine learning models for predictive risk analytics in high-stakes financial environments

Required Skills

  • Proficiency in Python, R, or MATLAB for quantitative modeling and data analysis
  • Expertise in statistical methods including regression analysis, time-series forecasting, and Monte Carlo simulations
  • Knowledge of machine learning frameworks such as TensorFlow or scikit-learn for predictive analytics
  • Strong understanding of financial instruments, derivatives pricing, and portfolio theory
  • Experience with SQL and big data tools like Hadoop or Spark for handling large financial datasets
  • Analytical problem-solving skills to tackle complex risk scenarios in dynamic markets
  • Excellent communication and presentation abilities to convey technical findings to non-technical audiences
  • Attention to detail and accuracy in model development and validation processes
  • Team collaboration and project management skills in a fast-paced financial services environment
  • Familiarity with risk management software such as SAS, RiskMetrics, or Bloomberg terminals
  • Adaptability to regulatory changes and innovative approaches in quantitative finance
  • Proficiency in Excel and VBA for financial modeling and reporting
  • Critical thinking to assess model limitations and propose improvements
  • Time management skills to meet deadlines in high-pressure investment analytics projects

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JP Morgan Chase's compensation philosophy
  • Comprehensive health, dental, and vision insurance plans with global coverage for employees and 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 tailored for work-life balance
  • Professional development opportunities through JP Morgan Chase's internal training programs and tuition reimbursement
  • Employee stock purchase plan and other financial wellness benefits to foster wealth-building
  • Wellness programs including gym memberships, mental health support, and onsite fitness facilities in Mumbai
  • Relocation assistance and expatriate support for international talent joining the Mumbai team

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, R, or MATLAB for quantitative modeling and data analysisintermediate
  • Expertise in statistical methods including regression analysis, time-series forecasting, and Monte Carlo simulationsintermediate
  • Knowledge of machine learning frameworks such as TensorFlow or scikit-learn for predictive analyticsintermediate
  • Strong understanding of financial instruments, derivatives pricing, and portfolio theoryintermediate
  • Experience with SQL and big data tools like Hadoop or Spark for handling large financial datasetsintermediate
  • Analytical problem-solving skills to tackle complex risk scenarios in dynamic marketsintermediate
  • Excellent communication and presentation abilities to convey technical findings to non-technical audiencesintermediate
  • Attention to detail and accuracy in model development and validation processesintermediate
  • Team collaboration and project management skills in a fast-paced financial services environmentintermediate
  • Familiarity with risk management software such as SAS, RiskMetrics, or Bloomberg terminalsintermediate
  • Adaptability to regulatory changes and innovative approaches in quantitative financeintermediate
  • Proficiency in Excel and VBA for financial modeling and reportingintermediate
  • Critical thinking to assess model limitations and propose improvementsintermediate
  • Time management skills to meet deadlines in high-pressure investment analytics projectsintermediate

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; Master's or PhD preferred (experience)
  • 3-5 years of experience in quantitative modeling, risk analytics, or financial engineering within the banking or investment sector (experience)
  • Strong proficiency in statistical modeling and predictive analytics, with hands-on experience in risk assessment for investment portfolios (experience)
  • Familiarity with regulatory frameworks such as Basel III, Dodd-Frank, and CCAR relevant to investment risk management at JP Morgan Chase (experience)
  • Experience working with large datasets in financial markets, including equities, fixed income, and derivatives (experience)
  • Ability to collaborate in a global team environment, with excellent communication skills for presenting complex models to stakeholders (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline from a top-tier institution (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, focusing on asset management or corporate investment banking (experience)
  • Certifications such as CFA, FRM, or CQF to demonstrate expertise in financial risk and quantitative analysis (experience)
  • Proven track record in developing machine learning models for predictive risk analytics in high-stakes financial environments (experience)

Responsibilities

  • Develop and implement quantitative models for investment risk assessment, including stress testing and scenario analysis for JP Morgan Chase's global portfolios
  • Analyze market data and financial instruments to identify potential risks and opportunities, ensuring compliance with internal and regulatory standards
  • Collaborate with cross-functional teams in Asset & Wealth Management to integrate risk models into investment strategies and decision-making processes
  • Perform back-testing and validation of predictive models to enhance accuracy and reliability in volatile market conditions
  • Utilize advanced statistical techniques and machine learning algorithms to forecast investment performance and mitigate downside risks
  • Contribute to the enhancement of JP Morgan Chase's risk analytics infrastructure, including data pipelines and visualization tools
  • Monitor and report on key risk metrics for senior management, providing actionable insights to support strategic initiatives
  • Stay abreast of evolving financial regulations and industry best practices to refine modeling approaches
  • Support ad-hoc quantitative projects, such as portfolio optimization and counterparty risk evaluation

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JP Morgan Chase's compensation philosophy
  • general: Comprehensive health, dental, and vision insurance plans with global coverage for employees and 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 tailored for work-life balance
  • general: Professional development opportunities through JP Morgan Chase's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and other financial wellness benefits to foster wealth-building
  • general: Wellness programs including gym memberships, mental health support, and onsite fitness facilities in Mumbai
  • general: Relocation assistance and expatriate support for international talent joining the Mumbai team

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JP Morgan Chase logo

Investment Risk & Analytics - Quant Modeling Associate

JP Morgan Chase

Finance Jobs

Investment Risk & Analytics - Quant Modeling Associate

full-timePosted: Sep 8, 2025

Job Description

Investment Risk & Analytics - Quant Modeling Associate

Location: Mumbai, Maharashtra, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client-focused solutions. The Investment Risk & Analytics - Quant Modeling Associate role within our Corporate & Investment Bank division in Mumbai plays a pivotal part in safeguarding and optimizing our vast investment portfolios. As a Quant Modeling Associate, you will leverage cutting-edge predictive science to develop sophisticated models that assess and mitigate risks across equities, fixed income, and alternative assets. This position offers the opportunity to work on high-impact projects that influence strategic decisions for institutional clients worldwide, contributing to JP Morgan Chase's reputation as a trusted partner in the financial industry. In this role, you will dive deep into quantitative analysis, building and refining models that incorporate advanced statistical techniques and machine learning to predict market behaviors and stress-test portfolios under various scenarios. Collaborating with teams in Asset & Wealth Management and Risk Management, you will ensure our investment strategies remain robust against economic uncertainties, regulatory shifts like Basel IV, and geopolitical events. Your work will directly support JP Morgan Chase's commitment to delivering superior risk-adjusted returns, while fostering a culture of analytical excellence in our state-of-the-art Mumbai technology hub. We seek driven professionals who thrive in a collaborative, innovative environment and are passionate about the intersection of finance and technology. Joining JP Morgan Chase means access to unparalleled resources, mentorship from industry leaders, and the chance to advance your career in one of the world's most dynamic financial centers. If you are ready to apply your quantitative expertise to real-world challenges that shape global markets, this role at JP Morgan Chase in Mumbai is an exceptional platform for growth and impact.

Key Responsibilities

  • Develop and implement quantitative models for investment risk assessment, including stress testing and scenario analysis for JP Morgan Chase's global portfolios
  • Analyze market data and financial instruments to identify potential risks and opportunities, ensuring compliance with internal and regulatory standards
  • Collaborate with cross-functional teams in Asset & Wealth Management to integrate risk models into investment strategies and decision-making processes
  • Perform back-testing and validation of predictive models to enhance accuracy and reliability in volatile market conditions
  • Utilize advanced statistical techniques and machine learning algorithms to forecast investment performance and mitigate downside risks
  • Contribute to the enhancement of JP Morgan Chase's risk analytics infrastructure, including data pipelines and visualization tools
  • Monitor and report on key risk metrics for senior management, providing actionable insights to support strategic initiatives
  • Stay abreast of evolving financial regulations and industry best practices to refine modeling approaches
  • Support ad-hoc quantitative projects, such as portfolio optimization and counterparty risk evaluation

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; Master's or PhD preferred
  • 3-5 years of experience in quantitative modeling, risk analytics, or financial engineering within the banking or investment sector
  • Strong proficiency in statistical modeling and predictive analytics, with hands-on experience in risk assessment for investment portfolios
  • Familiarity with regulatory frameworks such as Basel III, Dodd-Frank, and CCAR relevant to investment risk management at JP Morgan Chase
  • Experience working with large datasets in financial markets, including equities, fixed income, and derivatives
  • Ability to collaborate in a global team environment, with excellent communication skills for presenting complex models to stakeholders

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline from a top-tier institution
  • Prior experience at a major financial institution like JP Morgan Chase, focusing on asset management or corporate investment banking
  • Certifications such as CFA, FRM, or CQF to demonstrate expertise in financial risk and quantitative analysis
  • Proven track record in developing machine learning models for predictive risk analytics in high-stakes financial environments

Required Skills

  • Proficiency in Python, R, or MATLAB for quantitative modeling and data analysis
  • Expertise in statistical methods including regression analysis, time-series forecasting, and Monte Carlo simulations
  • Knowledge of machine learning frameworks such as TensorFlow or scikit-learn for predictive analytics
  • Strong understanding of financial instruments, derivatives pricing, and portfolio theory
  • Experience with SQL and big data tools like Hadoop or Spark for handling large financial datasets
  • Analytical problem-solving skills to tackle complex risk scenarios in dynamic markets
  • Excellent communication and presentation abilities to convey technical findings to non-technical audiences
  • Attention to detail and accuracy in model development and validation processes
  • Team collaboration and project management skills in a fast-paced financial services environment
  • Familiarity with risk management software such as SAS, RiskMetrics, or Bloomberg terminals
  • Adaptability to regulatory changes and innovative approaches in quantitative finance
  • Proficiency in Excel and VBA for financial modeling and reporting
  • Critical thinking to assess model limitations and propose improvements
  • Time management skills to meet deadlines in high-pressure investment analytics projects

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JP Morgan Chase's compensation philosophy
  • Comprehensive health, dental, and vision insurance plans with global coverage for employees and 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 tailored for work-life balance
  • Professional development opportunities through JP Morgan Chase's internal training programs and tuition reimbursement
  • Employee stock purchase plan and other financial wellness benefits to foster wealth-building
  • Wellness programs including gym memberships, mental health support, and onsite fitness facilities in Mumbai
  • Relocation assistance and expatriate support for international talent joining the Mumbai team

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, R, or MATLAB for quantitative modeling and data analysisintermediate
  • Expertise in statistical methods including regression analysis, time-series forecasting, and Monte Carlo simulationsintermediate
  • Knowledge of machine learning frameworks such as TensorFlow or scikit-learn for predictive analyticsintermediate
  • Strong understanding of financial instruments, derivatives pricing, and portfolio theoryintermediate
  • Experience with SQL and big data tools like Hadoop or Spark for handling large financial datasetsintermediate
  • Analytical problem-solving skills to tackle complex risk scenarios in dynamic marketsintermediate
  • Excellent communication and presentation abilities to convey technical findings to non-technical audiencesintermediate
  • Attention to detail and accuracy in model development and validation processesintermediate
  • Team collaboration and project management skills in a fast-paced financial services environmentintermediate
  • Familiarity with risk management software such as SAS, RiskMetrics, or Bloomberg terminalsintermediate
  • Adaptability to regulatory changes and innovative approaches in quantitative financeintermediate
  • Proficiency in Excel and VBA for financial modeling and reportingintermediate
  • Critical thinking to assess model limitations and propose improvementsintermediate
  • Time management skills to meet deadlines in high-pressure investment analytics projectsintermediate

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; Master's or PhD preferred (experience)
  • 3-5 years of experience in quantitative modeling, risk analytics, or financial engineering within the banking or investment sector (experience)
  • Strong proficiency in statistical modeling and predictive analytics, with hands-on experience in risk assessment for investment portfolios (experience)
  • Familiarity with regulatory frameworks such as Basel III, Dodd-Frank, and CCAR relevant to investment risk management at JP Morgan Chase (experience)
  • Experience working with large datasets in financial markets, including equities, fixed income, and derivatives (experience)
  • Ability to collaborate in a global team environment, with excellent communication skills for presenting complex models to stakeholders (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline from a top-tier institution (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, focusing on asset management or corporate investment banking (experience)
  • Certifications such as CFA, FRM, or CQF to demonstrate expertise in financial risk and quantitative analysis (experience)
  • Proven track record in developing machine learning models for predictive risk analytics in high-stakes financial environments (experience)

Responsibilities

  • Develop and implement quantitative models for investment risk assessment, including stress testing and scenario analysis for JP Morgan Chase's global portfolios
  • Analyze market data and financial instruments to identify potential risks and opportunities, ensuring compliance with internal and regulatory standards
  • Collaborate with cross-functional teams in Asset & Wealth Management to integrate risk models into investment strategies and decision-making processes
  • Perform back-testing and validation of predictive models to enhance accuracy and reliability in volatile market conditions
  • Utilize advanced statistical techniques and machine learning algorithms to forecast investment performance and mitigate downside risks
  • Contribute to the enhancement of JP Morgan Chase's risk analytics infrastructure, including data pipelines and visualization tools
  • Monitor and report on key risk metrics for senior management, providing actionable insights to support strategic initiatives
  • Stay abreast of evolving financial regulations and industry best practices to refine modeling approaches
  • Support ad-hoc quantitative projects, such as portfolio optimization and counterparty risk evaluation

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JP Morgan Chase's compensation philosophy
  • general: Comprehensive health, dental, and vision insurance plans with global coverage for employees and 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 tailored for work-life balance
  • general: Professional development opportunities through JP Morgan Chase's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and other financial wellness benefits to foster wealth-building
  • general: Wellness programs including gym memberships, mental health support, and onsite fitness facilities in Mumbai
  • general: Relocation assistance and expatriate support for international talent joining the Mumbai team

Target Your Resume for "Investment Risk & Analytics - Quant Modeling Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Investment Risk & Analytics - Quant Modeling Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Investment Risk & Analytics - Quant Modeling 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

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Investment Risk & Analytics - Quant Modeling Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.