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Credit Risk Modelling & Innovation VP - Corporate & TCIO

JP Morgan Chase

Finance Jobs

Credit Risk Modelling & Innovation VP - Corporate & TCIO

full-timePosted: Nov 4, 2025

Job Description

Credit Risk Modelling & Innovation VP - Corporate & TCIO

Location: Mumbai, Maharashtra, India

Job Family: Credit Risk

About the Role

At JP Morgan Chase, we are a leading global financial services firm with operations spanning investment banking, consumer and community banking, commercial banking, and asset and wealth management. Our Corporate & Investment Bank (CIB) and Treasury Chief Investment Office (TCIO) divisions play a pivotal role in managing complex portfolios and driving strategic investments. We are seeking a Credit Risk Modelling & Innovation VP to join our dynamic team in Mumbai, India, focusing on advancing credit risk frameworks for corporate lending and treasury activities. This role offers the opportunity to innovate within a world-class risk management environment, leveraging cutting-edge technologies to enhance decision-making and mitigate risks in a rapidly evolving financial landscape. In this position, you will lead the development and innovation of credit risk models tailored to corporate and TCIO portfolios, incorporating advanced analytics and machine learning to predict default probabilities, loss given default, and exposure at default. You will collaborate closely with quants, data scientists, business leaders, and regulatory teams to ensure models are robust, compliant with Basel III and IFRS 9 standards, and integrated seamlessly into JP Morgan's risk management systems. Responsibilities include performing stress tests, monitoring model performance, and driving initiatives to incorporate alternative data and ESG factors, all while contributing to the firm's commitment to responsible banking and sustainable growth. The ideal candidate thrives in a collaborative, high-stakes setting and brings a passion for quantitative innovation to address real-world financial challenges. Based in our state-of-the-art Mumbai office, you will benefit from JP Morgan's global resources, including access to vast datasets and cross-border expertise. This role not only demands technical excellence but also the ability to influence strategic decisions that safeguard our clients' interests and support the firm's long-term objectives in the competitive financial services industry.

Key Responsibilities

  • Develop, enhance, and validate advanced credit risk models for corporate lending and Treasury Chief Investment Office (TCIO) portfolios, ensuring alignment with regulatory standards
  • Innovate by integrating machine learning and AI techniques to improve model accuracy and predictive power in credit risk assessment
  • Collaborate with cross-functional teams including model validation, business lines, and senior management to deploy risk models effectively
  • Conduct stress testing and scenario analysis to evaluate portfolio resilience under various economic conditions
  • Monitor model performance, identify emerging risks, and recommend adjustments to mitigate credit exposures
  • Drive innovation initiatives, such as exploring alternative data sources for credit scoring in emerging markets
  • Ensure compliance with internal policies and external regulations like Basel III and IFRS 9
  • Prepare and present risk model insights and reports to executive leadership and regulatory bodies
  • Mentor junior analysts and contribute to the continuous improvement of the credit risk modeling framework
  • Support TCIO investment strategies by providing robust credit risk analytics and advisory

Required Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) preferred
  • Minimum 7-10 years of experience in credit risk modeling, quantitative analysis, or risk management within the financial services industry
  • Proven expertise in developing and implementing credit risk models for corporate lending and treasury portfolios
  • Strong programming proficiency in Python, R, SAS, or similar tools for model development and validation
  • Experience with regulatory frameworks such as Basel III, IFRS 9, and CCAR/CECL requirements
  • Demonstrated ability to innovate and apply machine learning techniques to credit risk assessment
  • Excellent communication skills with the ability to present complex risk models to senior stakeholders

Preferred Qualifications

  • CFA, FRM, or CQF certification
  • Prior experience at a major global bank like JP Morgan Chase in corporate or treasury risk functions
  • Hands-on experience with big data analytics and AI-driven risk modeling innovations
  • Knowledge of sustainable finance and ESG factors in credit risk modeling
  • Project management experience leading cross-functional teams in model deployment

Required Skills

  • Advanced quantitative modeling and statistical analysis
  • Proficiency in Python, R, SAS, and SQL for data manipulation and model building
  • Machine learning algorithms (e.g., random forests, neural networks) applied to credit risk
  • Deep understanding of credit risk metrics like PD, LGD, EAD, and expected loss
  • Regulatory knowledge of Basel accords, IFRS 9, and stress testing frameworks
  • Data analytics and visualization tools (e.g., Tableau, Power BI)
  • Strong problem-solving and analytical thinking
  • Excellent written and verbal communication for stakeholder presentations
  • Project management and leadership in agile environments
  • Attention to detail in model validation and documentation
  • Adaptability to fast-paced financial environments
  • Team collaboration across global teams
  • Innovation mindset for exploring new risk modeling techniques
  • Risk assessment and scenario planning expertise
  • Familiarity with financial instruments in corporate and treasury sectors

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development programs and tuition reimbursement for advanced certifications
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Global mobility opportunities and relocation assistance for international roles

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 quantitative modeling and statistical analysisintermediate
  • Proficiency in Python, R, SAS, and SQL for data manipulation and model buildingintermediate
  • Machine learning algorithms (e.g., random forests, neural networks) applied to credit riskintermediate
  • Deep understanding of credit risk metrics like PD, LGD, EAD, and expected lossintermediate
  • Regulatory knowledge of Basel accords, IFRS 9, and stress testing frameworksintermediate
  • Data analytics and visualization tools (e.g., Tableau, Power BI)intermediate
  • Strong problem-solving and analytical thinkingintermediate
  • Excellent written and verbal communication for stakeholder presentationsintermediate
  • Project management and leadership in agile environmentsintermediate
  • Attention to detail in model validation and documentationintermediate
  • Adaptability to fast-paced financial environmentsintermediate
  • Team collaboration across global teamsintermediate
  • Innovation mindset for exploring new risk modeling techniquesintermediate
  • Risk assessment and scenario planning expertiseintermediate
  • Familiarity with financial instruments in corporate and treasury sectorsintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) preferred (experience)
  • Minimum 7-10 years of experience in credit risk modeling, quantitative analysis, or risk management within the financial services industry (experience)
  • Proven expertise in developing and implementing credit risk models for corporate lending and treasury portfolios (experience)
  • Strong programming proficiency in Python, R, SAS, or similar tools for model development and validation (experience)
  • Experience with regulatory frameworks such as Basel III, IFRS 9, and CCAR/CECL requirements (experience)
  • Demonstrated ability to innovate and apply machine learning techniques to credit risk assessment (experience)
  • Excellent communication skills with the ability to present complex risk models to senior stakeholders (experience)

Preferred Qualifications

  • CFA, FRM, or CQF certification (experience)
  • Prior experience at a major global bank like JP Morgan Chase in corporate or treasury risk functions (experience)
  • Hands-on experience with big data analytics and AI-driven risk modeling innovations (experience)
  • Knowledge of sustainable finance and ESG factors in credit risk modeling (experience)
  • Project management experience leading cross-functional teams in model deployment (experience)

Responsibilities

  • Develop, enhance, and validate advanced credit risk models for corporate lending and Treasury Chief Investment Office (TCIO) portfolios, ensuring alignment with regulatory standards
  • Innovate by integrating machine learning and AI techniques to improve model accuracy and predictive power in credit risk assessment
  • Collaborate with cross-functional teams including model validation, business lines, and senior management to deploy risk models effectively
  • Conduct stress testing and scenario analysis to evaluate portfolio resilience under various economic conditions
  • Monitor model performance, identify emerging risks, and recommend adjustments to mitigate credit exposures
  • Drive innovation initiatives, such as exploring alternative data sources for credit scoring in emerging markets
  • Ensure compliance with internal policies and external regulations like Basel III and IFRS 9
  • Prepare and present risk model insights and reports to executive leadership and regulatory bodies
  • Mentor junior analysts and contribute to the continuous improvement of the credit risk modeling framework
  • Support TCIO investment strategies by providing robust credit risk analytics and advisory

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development programs and tuition reimbursement for advanced certifications
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Global mobility opportunities and relocation assistance for international roles

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JP Morgan Chase logo

Credit Risk Modelling & Innovation VP - Corporate & TCIO

JP Morgan Chase

Finance Jobs

Credit Risk Modelling & Innovation VP - Corporate & TCIO

full-timePosted: Nov 4, 2025

Job Description

Credit Risk Modelling & Innovation VP - Corporate & TCIO

Location: Mumbai, Maharashtra, India

Job Family: Credit Risk

About the Role

At JP Morgan Chase, we are a leading global financial services firm with operations spanning investment banking, consumer and community banking, commercial banking, and asset and wealth management. Our Corporate & Investment Bank (CIB) and Treasury Chief Investment Office (TCIO) divisions play a pivotal role in managing complex portfolios and driving strategic investments. We are seeking a Credit Risk Modelling & Innovation VP to join our dynamic team in Mumbai, India, focusing on advancing credit risk frameworks for corporate lending and treasury activities. This role offers the opportunity to innovate within a world-class risk management environment, leveraging cutting-edge technologies to enhance decision-making and mitigate risks in a rapidly evolving financial landscape. In this position, you will lead the development and innovation of credit risk models tailored to corporate and TCIO portfolios, incorporating advanced analytics and machine learning to predict default probabilities, loss given default, and exposure at default. You will collaborate closely with quants, data scientists, business leaders, and regulatory teams to ensure models are robust, compliant with Basel III and IFRS 9 standards, and integrated seamlessly into JP Morgan's risk management systems. Responsibilities include performing stress tests, monitoring model performance, and driving initiatives to incorporate alternative data and ESG factors, all while contributing to the firm's commitment to responsible banking and sustainable growth. The ideal candidate thrives in a collaborative, high-stakes setting and brings a passion for quantitative innovation to address real-world financial challenges. Based in our state-of-the-art Mumbai office, you will benefit from JP Morgan's global resources, including access to vast datasets and cross-border expertise. This role not only demands technical excellence but also the ability to influence strategic decisions that safeguard our clients' interests and support the firm's long-term objectives in the competitive financial services industry.

Key Responsibilities

  • Develop, enhance, and validate advanced credit risk models for corporate lending and Treasury Chief Investment Office (TCIO) portfolios, ensuring alignment with regulatory standards
  • Innovate by integrating machine learning and AI techniques to improve model accuracy and predictive power in credit risk assessment
  • Collaborate with cross-functional teams including model validation, business lines, and senior management to deploy risk models effectively
  • Conduct stress testing and scenario analysis to evaluate portfolio resilience under various economic conditions
  • Monitor model performance, identify emerging risks, and recommend adjustments to mitigate credit exposures
  • Drive innovation initiatives, such as exploring alternative data sources for credit scoring in emerging markets
  • Ensure compliance with internal policies and external regulations like Basel III and IFRS 9
  • Prepare and present risk model insights and reports to executive leadership and regulatory bodies
  • Mentor junior analysts and contribute to the continuous improvement of the credit risk modeling framework
  • Support TCIO investment strategies by providing robust credit risk analytics and advisory

Required Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) preferred
  • Minimum 7-10 years of experience in credit risk modeling, quantitative analysis, or risk management within the financial services industry
  • Proven expertise in developing and implementing credit risk models for corporate lending and treasury portfolios
  • Strong programming proficiency in Python, R, SAS, or similar tools for model development and validation
  • Experience with regulatory frameworks such as Basel III, IFRS 9, and CCAR/CECL requirements
  • Demonstrated ability to innovate and apply machine learning techniques to credit risk assessment
  • Excellent communication skills with the ability to present complex risk models to senior stakeholders

Preferred Qualifications

  • CFA, FRM, or CQF certification
  • Prior experience at a major global bank like JP Morgan Chase in corporate or treasury risk functions
  • Hands-on experience with big data analytics and AI-driven risk modeling innovations
  • Knowledge of sustainable finance and ESG factors in credit risk modeling
  • Project management experience leading cross-functional teams in model deployment

Required Skills

  • Advanced quantitative modeling and statistical analysis
  • Proficiency in Python, R, SAS, and SQL for data manipulation and model building
  • Machine learning algorithms (e.g., random forests, neural networks) applied to credit risk
  • Deep understanding of credit risk metrics like PD, LGD, EAD, and expected loss
  • Regulatory knowledge of Basel accords, IFRS 9, and stress testing frameworks
  • Data analytics and visualization tools (e.g., Tableau, Power BI)
  • Strong problem-solving and analytical thinking
  • Excellent written and verbal communication for stakeholder presentations
  • Project management and leadership in agile environments
  • Attention to detail in model validation and documentation
  • Adaptability to fast-paced financial environments
  • Team collaboration across global teams
  • Innovation mindset for exploring new risk modeling techniques
  • Risk assessment and scenario planning expertise
  • Familiarity with financial instruments in corporate and treasury sectors

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development programs and tuition reimbursement for advanced certifications
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Global mobility opportunities and relocation assistance for international roles

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 quantitative modeling and statistical analysisintermediate
  • Proficiency in Python, R, SAS, and SQL for data manipulation and model buildingintermediate
  • Machine learning algorithms (e.g., random forests, neural networks) applied to credit riskintermediate
  • Deep understanding of credit risk metrics like PD, LGD, EAD, and expected lossintermediate
  • Regulatory knowledge of Basel accords, IFRS 9, and stress testing frameworksintermediate
  • Data analytics and visualization tools (e.g., Tableau, Power BI)intermediate
  • Strong problem-solving and analytical thinkingintermediate
  • Excellent written and verbal communication for stakeholder presentationsintermediate
  • Project management and leadership in agile environmentsintermediate
  • Attention to detail in model validation and documentationintermediate
  • Adaptability to fast-paced financial environmentsintermediate
  • Team collaboration across global teamsintermediate
  • Innovation mindset for exploring new risk modeling techniquesintermediate
  • Risk assessment and scenario planning expertiseintermediate
  • Familiarity with financial instruments in corporate and treasury sectorsintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field; advanced degree (Master's or PhD) preferred (experience)
  • Minimum 7-10 years of experience in credit risk modeling, quantitative analysis, or risk management within the financial services industry (experience)
  • Proven expertise in developing and implementing credit risk models for corporate lending and treasury portfolios (experience)
  • Strong programming proficiency in Python, R, SAS, or similar tools for model development and validation (experience)
  • Experience with regulatory frameworks such as Basel III, IFRS 9, and CCAR/CECL requirements (experience)
  • Demonstrated ability to innovate and apply machine learning techniques to credit risk assessment (experience)
  • Excellent communication skills with the ability to present complex risk models to senior stakeholders (experience)

Preferred Qualifications

  • CFA, FRM, or CQF certification (experience)
  • Prior experience at a major global bank like JP Morgan Chase in corporate or treasury risk functions (experience)
  • Hands-on experience with big data analytics and AI-driven risk modeling innovations (experience)
  • Knowledge of sustainable finance and ESG factors in credit risk modeling (experience)
  • Project management experience leading cross-functional teams in model deployment (experience)

Responsibilities

  • Develop, enhance, and validate advanced credit risk models for corporate lending and Treasury Chief Investment Office (TCIO) portfolios, ensuring alignment with regulatory standards
  • Innovate by integrating machine learning and AI techniques to improve model accuracy and predictive power in credit risk assessment
  • Collaborate with cross-functional teams including model validation, business lines, and senior management to deploy risk models effectively
  • Conduct stress testing and scenario analysis to evaluate portfolio resilience under various economic conditions
  • Monitor model performance, identify emerging risks, and recommend adjustments to mitigate credit exposures
  • Drive innovation initiatives, such as exploring alternative data sources for credit scoring in emerging markets
  • Ensure compliance with internal policies and external regulations like Basel III and IFRS 9
  • Prepare and present risk model insights and reports to executive leadership and regulatory bodies
  • Mentor junior analysts and contribute to the continuous improvement of the credit risk modeling framework
  • Support TCIO investment strategies by providing robust credit risk analytics and advisory

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development programs and tuition reimbursement for advanced certifications
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Global mobility opportunities and relocation assistance for international roles

Target Your Resume for "Credit Risk Modelling & Innovation VP - Corporate & TCIO" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Credit Risk Modelling & Innovation VP - Corporate & TCIO. Takes only 15 seconds!

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

Check Your ATS Score for "Credit Risk Modelling & Innovation VP - Corporate & TCIO" , 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

Credit RiskFinancial ServicesBankingJP MorganCredit Risk

Answer 10 quick questions to check your fit for Credit Risk Modelling & Innovation VP - Corporate & TCIO @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.