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Business Modeling - Applied AI Modeling Lead

JP Morgan Chase

Software and Technology Jobs

Business Modeling - Applied AI Modeling Lead

full-timePosted: Nov 24, 2025

Job Description

Business Modeling - Applied AI Modeling Lead

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase & Co., one of the world's leading financial services firms, we are seeking a Business Modeling - Applied AI Modeling Lead to join our Predictive Science team in New York, NY. In this pivotal role, you will spearhead the creation of cutting-edge quantitative models powered by applied AI to meet the evolving financial needs of our customers across retail banking, credit cards, home lending, auto financing, and wealth management. As a leader in our innovative modeling efforts, you will collaborate with data scientists, risk experts, and business leaders to deliver models that drive smarter decisions, enhance customer experiences, and mitigate risks in a dynamic regulatory landscape. Your work will directly contribute to JPMorgan Chase's commitment to leveraging technology for sustainable growth and client success in the global financial industry. Key responsibilities include architecting AI-driven predictive models using advanced techniques like deep learning and reinforcement learning to forecast customer behaviors, optimize lending portfolios, and personalize wealth advisory services. You will ensure these models are robust, interpretable, and compliant with stringent standards such as those from the Federal Reserve and OCC, while integrating diverse data sources including transaction data, market indicators, and alternative datasets. Leading a team of modelers, you will foster innovation by exploring emerging AI applications, conducting rigorous validation, and deploying solutions into production systems that power real-time financial operations at scale. This position offers the opportunity to thrive in a collaborative, high-impact environment at JPMorgan Chase, where your expertise in applied AI can shape the future of financial services. We value diverse perspectives and provide resources for continuous learning, enabling you to advance your career while contributing to initiatives that serve millions of customers worldwide. If you are passionate about using AI to solve complex financial challenges, join us in building the next generation of predictive science at one of the most respected names in banking.

Key Responsibilities

  • Lead the development of advanced AI-based quantitative models to address customer financial needs in retail banking, credit cards, home lending, auto financing, and wealth management
  • Collaborate with cross-functional teams including data scientists, risk managers, and business stakeholders to design and validate high-impact predictive models
  • Apply machine learning algorithms such as neural networks, ensemble methods, and deep learning to forecast credit risk, customer behavior, and portfolio performance
  • Ensure models comply with JP Morgan Chase's rigorous standards for accuracy, interpretability, and regulatory adherence
  • Innovate model architectures to incorporate alternative data sources like transaction histories and market signals for enhanced predictive power
  • Mentor junior modelers and drive knowledge sharing within the Predictive Science team
  • Conduct model testing, backtesting, and performance monitoring to support real-time decision-making in financial services
  • Partner with technology teams to deploy models into production environments at scale
  • Analyze emerging AI trends and recommend integrations to improve JP Morgan's financial modeling capabilities
  • Contribute to strategic initiatives that leverage AI for customer-centric solutions across Chase's diverse product lines

Required Qualifications

  • Advanced degree (Master’s or PhD) in Quantitative Finance, Statistics, Computer Science, Applied Mathematics, or a related field
  • 5+ years of experience in developing and deploying quantitative models in financial services, particularly in retail banking, credit risk, or wealth management
  • Proven expertise in applied AI and machine learning techniques for predictive modeling
  • Strong programming proficiency in Python, R, or similar languages for model development and data analysis
  • Experience with regulatory compliance in financial modeling, such as CCAR, IFRS 9, or Basel requirements
  • Demonstrated ability to lead cross-functional teams in model innovation and implementation
  • Deep understanding of financial products including credit cards, mortgages, auto loans, and investment portfolios

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on AI applications in finance
  • Experience working at a major financial institution like JP Morgan Chase on high-stakes modeling projects
  • Certification in machine learning (e.g., from Coursera or AWS) or financial risk management (e.g., FRM)
  • Prior leadership role in AI-driven initiatives within banking or fintech
  • Publication record in peer-reviewed journals on predictive modeling or AI in finance

Required Skills

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Proficiency in statistical modeling and time-series analysis for financial data
  • Strong knowledge of credit risk modeling and portfolio optimization techniques
  • Experience with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial datasets
  • AI model interpretability skills using tools like SHAP or LIME
  • Leadership and communication skills for stakeholder engagement
  • Problem-solving abilities in complex, data-driven financial environments
  • Regulatory knowledge of financial modeling standards (e.g., SR 11-7)
  • Python or R programming for end-to-end model development
  • Data visualization expertise with Tableau or Matplotlib
  • Agile project management for AI model deployment
  • Domain knowledge in retail banking, lending, and wealth management products
  • Analytical mindset for hypothesis testing and model validation
  • Collaboration skills in multidisciplinary teams
  • Adaptability to evolving AI technologies in finance

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • Employee stock purchase plan and other financial wellness benefits
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements and hybrid options in New York, NY

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Proficiency in statistical modeling and time-series analysis for financial dataintermediate
  • Strong knowledge of credit risk modeling and portfolio optimization techniquesintermediate
  • Experience with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial datasetsintermediate
  • AI model interpretability skills using tools like SHAP or LIMEintermediate
  • Leadership and communication skills for stakeholder engagementintermediate
  • Problem-solving abilities in complex, data-driven financial environmentsintermediate
  • Regulatory knowledge of financial modeling standards (e.g., SR 11-7)intermediate
  • Python or R programming for end-to-end model developmentintermediate
  • Data visualization expertise with Tableau or Matplotlibintermediate
  • Agile project management for AI model deploymentintermediate
  • Domain knowledge in retail banking, lending, and wealth management productsintermediate
  • Analytical mindset for hypothesis testing and model validationintermediate
  • Collaboration skills in multidisciplinary teamsintermediate
  • Adaptability to evolving AI technologies in financeintermediate

Required Qualifications

  • Advanced degree (Master’s or PhD) in Quantitative Finance, Statistics, Computer Science, Applied Mathematics, or a related field (experience)
  • 5+ years of experience in developing and deploying quantitative models in financial services, particularly in retail banking, credit risk, or wealth management (experience)
  • Proven expertise in applied AI and machine learning techniques for predictive modeling (experience)
  • Strong programming proficiency in Python, R, or similar languages for model development and data analysis (experience)
  • Experience with regulatory compliance in financial modeling, such as CCAR, IFRS 9, or Basel requirements (experience)
  • Demonstrated ability to lead cross-functional teams in model innovation and implementation (experience)
  • Deep understanding of financial products including credit cards, mortgages, auto loans, and investment portfolios (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on AI applications in finance (experience)
  • Experience working at a major financial institution like JP Morgan Chase on high-stakes modeling projects (experience)
  • Certification in machine learning (e.g., from Coursera or AWS) or financial risk management (e.g., FRM) (experience)
  • Prior leadership role in AI-driven initiatives within banking or fintech (experience)
  • Publication record in peer-reviewed journals on predictive modeling or AI in finance (experience)

Responsibilities

  • Lead the development of advanced AI-based quantitative models to address customer financial needs in retail banking, credit cards, home lending, auto financing, and wealth management
  • Collaborate with cross-functional teams including data scientists, risk managers, and business stakeholders to design and validate high-impact predictive models
  • Apply machine learning algorithms such as neural networks, ensemble methods, and deep learning to forecast credit risk, customer behavior, and portfolio performance
  • Ensure models comply with JP Morgan Chase's rigorous standards for accuracy, interpretability, and regulatory adherence
  • Innovate model architectures to incorporate alternative data sources like transaction histories and market signals for enhanced predictive power
  • Mentor junior modelers and drive knowledge sharing within the Predictive Science team
  • Conduct model testing, backtesting, and performance monitoring to support real-time decision-making in financial services
  • Partner with technology teams to deploy models into production environments at scale
  • Analyze emerging AI trends and recommend integrations to improve JP Morgan's financial modeling capabilities
  • Contribute to strategic initiatives that leverage AI for customer-centric solutions across Chase's diverse product lines

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements and hybrid options in New York, NY

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JP Morgan Chase logo

Business Modeling - Applied AI Modeling Lead

JP Morgan Chase

Software and Technology Jobs

Business Modeling - Applied AI Modeling Lead

full-timePosted: Nov 24, 2025

Job Description

Business Modeling - Applied AI Modeling Lead

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase & Co., one of the world's leading financial services firms, we are seeking a Business Modeling - Applied AI Modeling Lead to join our Predictive Science team in New York, NY. In this pivotal role, you will spearhead the creation of cutting-edge quantitative models powered by applied AI to meet the evolving financial needs of our customers across retail banking, credit cards, home lending, auto financing, and wealth management. As a leader in our innovative modeling efforts, you will collaborate with data scientists, risk experts, and business leaders to deliver models that drive smarter decisions, enhance customer experiences, and mitigate risks in a dynamic regulatory landscape. Your work will directly contribute to JPMorgan Chase's commitment to leveraging technology for sustainable growth and client success in the global financial industry. Key responsibilities include architecting AI-driven predictive models using advanced techniques like deep learning and reinforcement learning to forecast customer behaviors, optimize lending portfolios, and personalize wealth advisory services. You will ensure these models are robust, interpretable, and compliant with stringent standards such as those from the Federal Reserve and OCC, while integrating diverse data sources including transaction data, market indicators, and alternative datasets. Leading a team of modelers, you will foster innovation by exploring emerging AI applications, conducting rigorous validation, and deploying solutions into production systems that power real-time financial operations at scale. This position offers the opportunity to thrive in a collaborative, high-impact environment at JPMorgan Chase, where your expertise in applied AI can shape the future of financial services. We value diverse perspectives and provide resources for continuous learning, enabling you to advance your career while contributing to initiatives that serve millions of customers worldwide. If you are passionate about using AI to solve complex financial challenges, join us in building the next generation of predictive science at one of the most respected names in banking.

Key Responsibilities

  • Lead the development of advanced AI-based quantitative models to address customer financial needs in retail banking, credit cards, home lending, auto financing, and wealth management
  • Collaborate with cross-functional teams including data scientists, risk managers, and business stakeholders to design and validate high-impact predictive models
  • Apply machine learning algorithms such as neural networks, ensemble methods, and deep learning to forecast credit risk, customer behavior, and portfolio performance
  • Ensure models comply with JP Morgan Chase's rigorous standards for accuracy, interpretability, and regulatory adherence
  • Innovate model architectures to incorporate alternative data sources like transaction histories and market signals for enhanced predictive power
  • Mentor junior modelers and drive knowledge sharing within the Predictive Science team
  • Conduct model testing, backtesting, and performance monitoring to support real-time decision-making in financial services
  • Partner with technology teams to deploy models into production environments at scale
  • Analyze emerging AI trends and recommend integrations to improve JP Morgan's financial modeling capabilities
  • Contribute to strategic initiatives that leverage AI for customer-centric solutions across Chase's diverse product lines

Required Qualifications

  • Advanced degree (Master’s or PhD) in Quantitative Finance, Statistics, Computer Science, Applied Mathematics, or a related field
  • 5+ years of experience in developing and deploying quantitative models in financial services, particularly in retail banking, credit risk, or wealth management
  • Proven expertise in applied AI and machine learning techniques for predictive modeling
  • Strong programming proficiency in Python, R, or similar languages for model development and data analysis
  • Experience with regulatory compliance in financial modeling, such as CCAR, IFRS 9, or Basel requirements
  • Demonstrated ability to lead cross-functional teams in model innovation and implementation
  • Deep understanding of financial products including credit cards, mortgages, auto loans, and investment portfolios

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on AI applications in finance
  • Experience working at a major financial institution like JP Morgan Chase on high-stakes modeling projects
  • Certification in machine learning (e.g., from Coursera or AWS) or financial risk management (e.g., FRM)
  • Prior leadership role in AI-driven initiatives within banking or fintech
  • Publication record in peer-reviewed journals on predictive modeling or AI in finance

Required Skills

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Proficiency in statistical modeling and time-series analysis for financial data
  • Strong knowledge of credit risk modeling and portfolio optimization techniques
  • Experience with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial datasets
  • AI model interpretability skills using tools like SHAP or LIME
  • Leadership and communication skills for stakeholder engagement
  • Problem-solving abilities in complex, data-driven financial environments
  • Regulatory knowledge of financial modeling standards (e.g., SR 11-7)
  • Python or R programming for end-to-end model development
  • Data visualization expertise with Tableau or Matplotlib
  • Agile project management for AI model deployment
  • Domain knowledge in retail banking, lending, and wealth management products
  • Analytical mindset for hypothesis testing and model validation
  • Collaboration skills in multidisciplinary teams
  • Adaptability to evolving AI technologies in finance

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • Employee stock purchase plan and other financial wellness benefits
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements and hybrid options in New York, NY

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 550,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Proficiency in statistical modeling and time-series analysis for financial dataintermediate
  • Strong knowledge of credit risk modeling and portfolio optimization techniquesintermediate
  • Experience with big data tools such as Hadoop, Spark, or SQL for handling large-scale financial datasetsintermediate
  • AI model interpretability skills using tools like SHAP or LIMEintermediate
  • Leadership and communication skills for stakeholder engagementintermediate
  • Problem-solving abilities in complex, data-driven financial environmentsintermediate
  • Regulatory knowledge of financial modeling standards (e.g., SR 11-7)intermediate
  • Python or R programming for end-to-end model developmentintermediate
  • Data visualization expertise with Tableau or Matplotlibintermediate
  • Agile project management for AI model deploymentintermediate
  • Domain knowledge in retail banking, lending, and wealth management productsintermediate
  • Analytical mindset for hypothesis testing and model validationintermediate
  • Collaboration skills in multidisciplinary teamsintermediate
  • Adaptability to evolving AI technologies in financeintermediate

Required Qualifications

  • Advanced degree (Master’s or PhD) in Quantitative Finance, Statistics, Computer Science, Applied Mathematics, or a related field (experience)
  • 5+ years of experience in developing and deploying quantitative models in financial services, particularly in retail banking, credit risk, or wealth management (experience)
  • Proven expertise in applied AI and machine learning techniques for predictive modeling (experience)
  • Strong programming proficiency in Python, R, or similar languages for model development and data analysis (experience)
  • Experience with regulatory compliance in financial modeling, such as CCAR, IFRS 9, or Basel requirements (experience)
  • Demonstrated ability to lead cross-functional teams in model innovation and implementation (experience)
  • Deep understanding of financial products including credit cards, mortgages, auto loans, and investment portfolios (experience)

Preferred Qualifications

  • PhD in a quantitative discipline with a focus on AI applications in finance (experience)
  • Experience working at a major financial institution like JP Morgan Chase on high-stakes modeling projects (experience)
  • Certification in machine learning (e.g., from Coursera or AWS) or financial risk management (e.g., FRM) (experience)
  • Prior leadership role in AI-driven initiatives within banking or fintech (experience)
  • Publication record in peer-reviewed journals on predictive modeling or AI in finance (experience)

Responsibilities

  • Lead the development of advanced AI-based quantitative models to address customer financial needs in retail banking, credit cards, home lending, auto financing, and wealth management
  • Collaborate with cross-functional teams including data scientists, risk managers, and business stakeholders to design and validate high-impact predictive models
  • Apply machine learning algorithms such as neural networks, ensemble methods, and deep learning to forecast credit risk, customer behavior, and portfolio performance
  • Ensure models comply with JP Morgan Chase's rigorous standards for accuracy, interpretability, and regulatory adherence
  • Innovate model architectures to incorporate alternative data sources like transaction histories and market signals for enhanced predictive power
  • Mentor junior modelers and drive knowledge sharing within the Predictive Science team
  • Conduct model testing, backtesting, and performance monitoring to support real-time decision-making in financial services
  • Partner with technology teams to deploy models into production environments at scale
  • Analyze emerging AI trends and recommend integrations to improve JP Morgan's financial modeling capabilities
  • Contribute to strategic initiatives that leverage AI for customer-centric solutions across Chase's diverse product lines

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements and hybrid options in New York, NY

Target Your Resume for "Business Modeling - Applied AI Modeling Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Business Modeling - Applied AI Modeling Lead. Takes only 15 seconds!

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

Check Your ATS Score for "Business Modeling - Applied AI Modeling Lead" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Business Modeling - Applied AI Modeling Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.