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Vice President – Data Science / Applied AI ML

JP Morgan Chase

Finance Jobs

Vice President – Data Science / Applied AI ML

full-timePosted: Oct 9, 2025

Job Description

Vice President – Data Science / Applied AI ML

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging data science and applied AI to drive innovation in the financial services industry. As a Vice President in Data Science / Applied AI ML within our Predictive Science team in Bengaluru, you will play a pivotal role in transforming complex financial data into actionable intelligence. This position involves leading initiatives that enhance risk prediction, fraud detection, and personalized banking experiences for our global clientele. Reporting to senior leadership in the technology and operations division, you will collaborate with elite teams to deploy cutting-edge ML models that support JP Morgan's commitment to secure, efficient, and client-centric financial solutions. Our Bengaluru hub is a key innovation center, offering exposure to diverse projects across asset management, investment banking, and consumer finance. Your core responsibilities will include architecting scalable AI systems that process terabytes of market and transaction data, ensuring models are robust against real-world financial volatilities. You will apply advanced techniques such as deep learning for algorithmic trading signals and ensemble methods for credit scoring, all while adhering to stringent regulatory standards like those from the RBI and SEC. Expect to engage in end-to-end model lifecycle management, from data ingestion via cloud pipelines to production monitoring, fostering a culture of continuous improvement within JP Morgan's data ecosystem. This role demands a blend of technical expertise and business acumen to influence decisions that impact billions in assets under management. We seek passionate professionals who thrive in a dynamic, collaborative environment and are eager to contribute to JP Morgan Chase's legacy of technological leadership in finance. This position offers unparalleled opportunities for growth, with access to world-class resources and a supportive network of over 250,000 colleagues worldwide. Join us in Bengaluru to shape the future of predictive analytics and make a tangible difference in global finance.

Key Responsibilities

  • Lead the development and implementation of advanced machine learning models for predictive analytics in areas like credit risk assessment and market forecasting
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to integrate AI solutions into JP Morgan's trading and banking platforms
  • Design and execute experiments to optimize model performance, ensuring scalability and robustness in high-volume financial data environments
  • Apply AI/ML techniques to detect anomalies, prevent fraud, and enhance customer personalization in retail and investment banking
  • Stay abreast of emerging AI trends and regulatory changes in the financial sector, advising on their application to JP Morgan's business strategies
  • Mentor junior team members and contribute to the firm's data science community through knowledge sharing and best practices
  • Analyze large-scale datasets from sources like market feeds and transaction logs to derive actionable insights for senior leadership
  • Ensure model explainability and compliance with ethical AI standards in financial decision-making
  • Prototype and deploy AI-driven tools for portfolio optimization and algorithmic trading at JP Morgan
  • Document methodologies and present findings to stakeholders, influencing strategic decisions in the Predictive Science group

Required Qualifications

  • Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • 5+ years of professional experience in data science, machine learning, or applied AI roles within the financial services industry
  • Proven track record of developing and deploying predictive models in production environments
  • Strong proficiency in Python, R, or similar programming languages for data analysis and modeling
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading
  • Excellent problem-solving skills and ability to work in cross-functional teams

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar
  • Publications or contributions to open-source ML projects in predictive analytics
  • Knowledge of regulatory compliance in finance (e.g., GDPR, Basel III)
  • Advanced certifications in AI/ML from platforms like Coursera or AWS
  • Prior leadership experience mentoring junior data scientists

Required Skills

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Statistical modeling and hypothesis testing
  • Big data processing (Spark, Hadoop, SQL)
  • Python or R programming
  • Data visualization tools (Tableau, Matplotlib)
  • Cloud computing (AWS, GCP, Azure)
  • Financial domain knowledge (risk management, econometrics)
  • Model deployment and MLOps (Docker, Kubernetes)
  • Problem-solving and analytical thinking
  • Communication and stakeholder management
  • Time management in fast-paced environments
  • Ethical AI and bias mitigation techniques
  • Version control (Git)
  • Natural Language Processing (NLP) for financial text analysis
  • Deep learning for time-series forecasting

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan's global compensation structure
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Flexible work arrangements, including hybrid options in Bengaluru
  • On-site wellness programs, gym access, and mental health support services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 85,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
  • Statistical modeling and hypothesis testingintermediate
  • Big data processing (Spark, Hadoop, SQL)intermediate
  • Python or R programmingintermediate
  • Data visualization tools (Tableau, Matplotlib)intermediate
  • Cloud computing (AWS, GCP, Azure)intermediate
  • Financial domain knowledge (risk management, econometrics)intermediate
  • Model deployment and MLOps (Docker, Kubernetes)intermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and stakeholder managementintermediate
  • Time management in fast-paced environmentsintermediate
  • Ethical AI and bias mitigation techniquesintermediate
  • Version control (Git)intermediate
  • Natural Language Processing (NLP) for financial text analysisintermediate
  • Deep learning for time-series forecastingintermediate

Required Qualifications

  • Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 5+ years of professional experience in data science, machine learning, or applied AI roles within the financial services industry (experience)
  • Proven track record of developing and deploying predictive models in production environments (experience)
  • Strong proficiency in Python, R, or similar programming languages for data analysis and modeling (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading (experience)
  • Excellent problem-solving skills and ability to work in cross-functional teams (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar (experience)
  • Publications or contributions to open-source ML projects in predictive analytics (experience)
  • Knowledge of regulatory compliance in finance (e.g., GDPR, Basel III) (experience)
  • Advanced certifications in AI/ML from platforms like Coursera or AWS (experience)
  • Prior leadership experience mentoring junior data scientists (experience)

Responsibilities

  • Lead the development and implementation of advanced machine learning models for predictive analytics in areas like credit risk assessment and market forecasting
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to integrate AI solutions into JP Morgan's trading and banking platforms
  • Design and execute experiments to optimize model performance, ensuring scalability and robustness in high-volume financial data environments
  • Apply AI/ML techniques to detect anomalies, prevent fraud, and enhance customer personalization in retail and investment banking
  • Stay abreast of emerging AI trends and regulatory changes in the financial sector, advising on their application to JP Morgan's business strategies
  • Mentor junior team members and contribute to the firm's data science community through knowledge sharing and best practices
  • Analyze large-scale datasets from sources like market feeds and transaction logs to derive actionable insights for senior leadership
  • Ensure model explainability and compliance with ethical AI standards in financial decision-making
  • Prototype and deploy AI-driven tools for portfolio optimization and algorithmic trading at JP Morgan
  • Document methodologies and present findings to stakeholders, influencing strategic decisions in the Predictive Science group

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan's global compensation structure
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: On-site wellness programs, gym access, and mental health support services

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JP Morgan Chase logo

Vice President – Data Science / Applied AI ML

JP Morgan Chase

Finance Jobs

Vice President – Data Science / Applied AI ML

full-timePosted: Oct 9, 2025

Job Description

Vice President – Data Science / Applied AI ML

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging data science and applied AI to drive innovation in the financial services industry. As a Vice President in Data Science / Applied AI ML within our Predictive Science team in Bengaluru, you will play a pivotal role in transforming complex financial data into actionable intelligence. This position involves leading initiatives that enhance risk prediction, fraud detection, and personalized banking experiences for our global clientele. Reporting to senior leadership in the technology and operations division, you will collaborate with elite teams to deploy cutting-edge ML models that support JP Morgan's commitment to secure, efficient, and client-centric financial solutions. Our Bengaluru hub is a key innovation center, offering exposure to diverse projects across asset management, investment banking, and consumer finance. Your core responsibilities will include architecting scalable AI systems that process terabytes of market and transaction data, ensuring models are robust against real-world financial volatilities. You will apply advanced techniques such as deep learning for algorithmic trading signals and ensemble methods for credit scoring, all while adhering to stringent regulatory standards like those from the RBI and SEC. Expect to engage in end-to-end model lifecycle management, from data ingestion via cloud pipelines to production monitoring, fostering a culture of continuous improvement within JP Morgan's data ecosystem. This role demands a blend of technical expertise and business acumen to influence decisions that impact billions in assets under management. We seek passionate professionals who thrive in a dynamic, collaborative environment and are eager to contribute to JP Morgan Chase's legacy of technological leadership in finance. This position offers unparalleled opportunities for growth, with access to world-class resources and a supportive network of over 250,000 colleagues worldwide. Join us in Bengaluru to shape the future of predictive analytics and make a tangible difference in global finance.

Key Responsibilities

  • Lead the development and implementation of advanced machine learning models for predictive analytics in areas like credit risk assessment and market forecasting
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to integrate AI solutions into JP Morgan's trading and banking platforms
  • Design and execute experiments to optimize model performance, ensuring scalability and robustness in high-volume financial data environments
  • Apply AI/ML techniques to detect anomalies, prevent fraud, and enhance customer personalization in retail and investment banking
  • Stay abreast of emerging AI trends and regulatory changes in the financial sector, advising on their application to JP Morgan's business strategies
  • Mentor junior team members and contribute to the firm's data science community through knowledge sharing and best practices
  • Analyze large-scale datasets from sources like market feeds and transaction logs to derive actionable insights for senior leadership
  • Ensure model explainability and compliance with ethical AI standards in financial decision-making
  • Prototype and deploy AI-driven tools for portfolio optimization and algorithmic trading at JP Morgan
  • Document methodologies and present findings to stakeholders, influencing strategic decisions in the Predictive Science group

Required Qualifications

  • Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • 5+ years of professional experience in data science, machine learning, or applied AI roles within the financial services industry
  • Proven track record of developing and deploying predictive models in production environments
  • Strong proficiency in Python, R, or similar programming languages for data analysis and modeling
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading
  • Excellent problem-solving skills and ability to work in cross-functional teams

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar
  • Publications or contributions to open-source ML projects in predictive analytics
  • Knowledge of regulatory compliance in finance (e.g., GDPR, Basel III)
  • Advanced certifications in AI/ML from platforms like Coursera or AWS
  • Prior leadership experience mentoring junior data scientists

Required Skills

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Statistical modeling and hypothesis testing
  • Big data processing (Spark, Hadoop, SQL)
  • Python or R programming
  • Data visualization tools (Tableau, Matplotlib)
  • Cloud computing (AWS, GCP, Azure)
  • Financial domain knowledge (risk management, econometrics)
  • Model deployment and MLOps (Docker, Kubernetes)
  • Problem-solving and analytical thinking
  • Communication and stakeholder management
  • Time management in fast-paced environments
  • Ethical AI and bias mitigation techniques
  • Version control (Git)
  • Natural Language Processing (NLP) for financial text analysis
  • Deep learning for time-series forecasting

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan's global compensation structure
  • Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • Retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick leave, and parental leave policies
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Flexible work arrangements, including hybrid options in Bengaluru
  • On-site wellness programs, gym access, and mental health support services

JP Morgan Chase is an equal opportunity employer.

Locations

  • Bengaluru, IN

Salary

Estimated Salary Rangehigh confidence

45,000,000 - 85,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
  • Statistical modeling and hypothesis testingintermediate
  • Big data processing (Spark, Hadoop, SQL)intermediate
  • Python or R programmingintermediate
  • Data visualization tools (Tableau, Matplotlib)intermediate
  • Cloud computing (AWS, GCP, Azure)intermediate
  • Financial domain knowledge (risk management, econometrics)intermediate
  • Model deployment and MLOps (Docker, Kubernetes)intermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and stakeholder managementintermediate
  • Time management in fast-paced environmentsintermediate
  • Ethical AI and bias mitigation techniquesintermediate
  • Version control (Git)intermediate
  • Natural Language Processing (NLP) for financial text analysisintermediate
  • Deep learning for time-series forecastingintermediate

Required Qualifications

  • Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 5+ years of professional experience in data science, machine learning, or applied AI roles within the financial services industry (experience)
  • Proven track record of developing and deploying predictive models in production environments (experience)
  • Strong proficiency in Python, R, or similar programming languages for data analysis and modeling (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Familiarity with financial datasets, risk modeling, fraud detection, or algorithmic trading (experience)
  • Excellent problem-solving skills and ability to work in cross-functional teams (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase or similar (experience)
  • Publications or contributions to open-source ML projects in predictive analytics (experience)
  • Knowledge of regulatory compliance in finance (e.g., GDPR, Basel III) (experience)
  • Advanced certifications in AI/ML from platforms like Coursera or AWS (experience)
  • Prior leadership experience mentoring junior data scientists (experience)

Responsibilities

  • Lead the development and implementation of advanced machine learning models for predictive analytics in areas like credit risk assessment and market forecasting
  • Collaborate with cross-functional teams including traders, risk managers, and software engineers to integrate AI solutions into JP Morgan's trading and banking platforms
  • Design and execute experiments to optimize model performance, ensuring scalability and robustness in high-volume financial data environments
  • Apply AI/ML techniques to detect anomalies, prevent fraud, and enhance customer personalization in retail and investment banking
  • Stay abreast of emerging AI trends and regulatory changes in the financial sector, advising on their application to JP Morgan's business strategies
  • Mentor junior team members and contribute to the firm's data science community through knowledge sharing and best practices
  • Analyze large-scale datasets from sources like market feeds and transaction logs to derive actionable insights for senior leadership
  • Ensure model explainability and compliance with ethical AI standards in financial decision-making
  • Prototype and deploy AI-driven tools for portfolio optimization and algorithmic trading at JP Morgan
  • Document methodologies and present findings to stakeholders, influencing strategic decisions in the Predictive Science group

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan's global compensation structure
  • general: Comprehensive health, dental, and vision insurance coverage for employees and dependents
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off including vacation, sick leave, and parental leave policies
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and access to financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Bengaluru
  • general: On-site wellness programs, gym access, and mental health support services

Target Your Resume for "Vice President – Data Science / Applied AI ML" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Vice President – Data Science / Applied AI ML. Takes only 15 seconds!

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

Check Your ATS Score for "Vice President – Data Science / Applied AI ML" , 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 Vice President – Data Science / Applied AI ML @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.