Resume and JobRESUME AND JOB
JP Morgan Chase logo

Payments - Data Scientist Associate

JP Morgan Chase

Software and Technology Jobs

Payments - Data Scientist Associate

full-timePosted: Sep 11, 2025

Job Description

Payments - Data Scientist Associate

Location: Mumbai, Maharashtra, India

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of transforming the global payments landscape through innovative data-driven solutions. As a Payments - Data Scientist Associate in our Mumbai office, you will join a dynamic team within the Corporate & Investment Bank, focusing on leveraging advanced analytics to enhance payment processing, fraud prevention, and customer insights. This role is pivotal in our Predictive Science category, where you'll harness vast transaction data to build models that optimize real-time payments, reduce risks, and drive efficiency across our international network. Reporting to the Payments Analytics lead, you'll contribute to high-impact projects that support JPMorgan's commitment to secure, seamless financial services for millions of clients worldwide. Your core responsibilities will include analyzing terabytes of payment data to uncover actionable patterns, developing machine learning models for predictive analytics in areas like transaction routing and anomaly detection, and collaborating with cross-functional teams to integrate these insights into production systems. You'll work with cutting-edge tools to create scalable data pipelines, ensuring compliance with stringent financial regulations such as PCI-DSS and local Indian data protection laws. This position offers the opportunity to innovate in a fast-evolving industry, tackling challenges like real-time fraud in digital payments and enhancing the reliability of platforms like Chase Paymentech. We seek passionate professionals who thrive in a collaborative, agile environment and are eager to advance their careers at one of the world's leading financial institutions. With access to JPMorgan's global resources, mentorship programs, and a culture of continuous learning, this role provides a platform to make a tangible impact on the future of payments. If you have a strong foundation in data science and a keen interest in financial technologies, join us in Mumbai to shape the next generation of intelligent payment solutions.

Key Responsibilities

  • Analyze complex payment datasets to identify trends, anomalies, and insights that drive business decisions at JPMorgan Chase
  • Develop and deploy predictive models for payment fraud detection, transaction optimization, and risk assessment
  • Collaborate with engineering, product, and compliance teams to enhance analytics capabilities for global payment platforms
  • Build and maintain scalable data pipelines using tools like Apache Airflow or ETL processes for real-time payment data
  • Perform advanced statistical analysis and machine learning to improve payment processing efficiency and customer experience
  • Create visualizations and dashboards using Tableau or Power BI to communicate findings to stakeholders
  • Ensure data quality, integrity, and compliance with regulatory standards in the financial services sector
  • Conduct A/B testing and experimentation to validate model performance in payment scenarios
  • Stay updated on emerging technologies in payments and data science to innovate within JPMorgan's ecosystem
  • Document methodologies and contribute to knowledge sharing across the Payments Analytics team

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • 2-4 years of experience in data science, machine learning, or analytics roles within financial services or a related industry
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
  • Strong understanding of data modeling, statistical analysis, and machine learning techniques
  • Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, or GCP)
  • Ability to work with large-scale payment transaction datasets and ensure data privacy compliance (e.g., GDPR, PCI-DSS)
  • Excellent problem-solving skills and attention to detail in a fast-paced financial environment

Preferred Qualifications

  • Master's degree in Data Science, Analytics, or a related field
  • Prior experience in payments processing, fraud detection, or transaction analytics at a major financial institution
  • Familiarity with JPMorgan Chase's internal tools and payment systems like Chase Paymentech
  • Certifications in machine learning (e.g., Google Professional Data Engineer) or financial data analysis
  • Experience collaborating with cross-functional teams in agile environments

Required Skills

  • Python programming for data analysis and model building
  • SQL for querying large financial databases
  • Machine learning frameworks like scikit-learn, TensorFlow, or PyTorch
  • Statistical modeling and hypothesis testing
  • Big data processing with Spark or Hadoop
  • Data visualization tools such as Tableau or Matplotlib
  • Knowledge of payment systems and protocols (e.g., SWIFT, ISO 20022)
  • Fraud detection algorithms and anomaly detection techniques
  • Cloud computing experience (AWS, Azure)
  • Agile methodologies and version control (Git)
  • Strong analytical and critical thinking
  • Effective communication and stakeholder management
  • Attention to detail and regulatory compliance awareness
  • Problem-solving in high-stakes financial environments
  • Team collaboration and cross-functional project management

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 opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • Employee stock purchase plan and financial wellness resources
  • Flexible work arrangements, including hybrid options in Mumbai
  • Global mobility programs and career advancement support within JPMorgan Chase

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangemedium confidence

15,000,000 - 25,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Python programming for data analysis and model buildingintermediate
  • SQL for querying large financial databasesintermediate
  • Machine learning frameworks like scikit-learn, TensorFlow, or PyTorchintermediate
  • Statistical modeling and hypothesis testingintermediate
  • Big data processing with Spark or Hadoopintermediate
  • Data visualization tools such as Tableau or Matplotlibintermediate
  • Knowledge of payment systems and protocols (e.g., SWIFT, ISO 20022)intermediate
  • Fraud detection algorithms and anomaly detection techniquesintermediate
  • Cloud computing experience (AWS, Azure)intermediate
  • Agile methodologies and version control (Git)intermediate
  • Strong analytical and critical thinkingintermediate
  • Effective communication and stakeholder managementintermediate
  • Attention to detail and regulatory compliance awarenessintermediate
  • Problem-solving in high-stakes financial environmentsintermediate
  • Team collaboration and cross-functional project managementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 2-4 years of experience in data science, machine learning, or analytics roles within financial services or a related industry (experience)
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis (experience)
  • Strong understanding of data modeling, statistical analysis, and machine learning techniques (experience)
  • Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, or GCP) (experience)
  • Ability to work with large-scale payment transaction datasets and ensure data privacy compliance (e.g., GDPR, PCI-DSS) (experience)
  • Excellent problem-solving skills and attention to detail in a fast-paced financial environment (experience)

Preferred Qualifications

  • Master's degree in Data Science, Analytics, or a related field (experience)
  • Prior experience in payments processing, fraud detection, or transaction analytics at a major financial institution (experience)
  • Familiarity with JPMorgan Chase's internal tools and payment systems like Chase Paymentech (experience)
  • Certifications in machine learning (e.g., Google Professional Data Engineer) or financial data analysis (experience)
  • Experience collaborating with cross-functional teams in agile environments (experience)

Responsibilities

  • Analyze complex payment datasets to identify trends, anomalies, and insights that drive business decisions at JPMorgan Chase
  • Develop and deploy predictive models for payment fraud detection, transaction optimization, and risk assessment
  • Collaborate with engineering, product, and compliance teams to enhance analytics capabilities for global payment platforms
  • Build and maintain scalable data pipelines using tools like Apache Airflow or ETL processes for real-time payment data
  • Perform advanced statistical analysis and machine learning to improve payment processing efficiency and customer experience
  • Create visualizations and dashboards using Tableau or Power BI to communicate findings to stakeholders
  • Ensure data quality, integrity, and compliance with regulatory standards in the financial services sector
  • Conduct A/B testing and experimentation to validate model performance in payment scenarios
  • Stay updated on emerging technologies in payments and data science to innovate within JPMorgan's ecosystem
  • Document methodologies and contribute to knowledge sharing across the Payments Analytics team

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 opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Mumbai
  • general: Global mobility programs and career advancement support within JPMorgan Chase

Target Your Resume for "Payments - Data Scientist Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Payments - Data Scientist Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Payments - Data Scientist 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 Payments - Data Scientist Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

JP Morgan Chase logo

Payments - Data Scientist Associate

JP Morgan Chase

Software and Technology Jobs

Payments - Data Scientist Associate

full-timePosted: Sep 11, 2025

Job Description

Payments - Data Scientist Associate

Location: Mumbai, Maharashtra, India

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of transforming the global payments landscape through innovative data-driven solutions. As a Payments - Data Scientist Associate in our Mumbai office, you will join a dynamic team within the Corporate & Investment Bank, focusing on leveraging advanced analytics to enhance payment processing, fraud prevention, and customer insights. This role is pivotal in our Predictive Science category, where you'll harness vast transaction data to build models that optimize real-time payments, reduce risks, and drive efficiency across our international network. Reporting to the Payments Analytics lead, you'll contribute to high-impact projects that support JPMorgan's commitment to secure, seamless financial services for millions of clients worldwide. Your core responsibilities will include analyzing terabytes of payment data to uncover actionable patterns, developing machine learning models for predictive analytics in areas like transaction routing and anomaly detection, and collaborating with cross-functional teams to integrate these insights into production systems. You'll work with cutting-edge tools to create scalable data pipelines, ensuring compliance with stringent financial regulations such as PCI-DSS and local Indian data protection laws. This position offers the opportunity to innovate in a fast-evolving industry, tackling challenges like real-time fraud in digital payments and enhancing the reliability of platforms like Chase Paymentech. We seek passionate professionals who thrive in a collaborative, agile environment and are eager to advance their careers at one of the world's leading financial institutions. With access to JPMorgan's global resources, mentorship programs, and a culture of continuous learning, this role provides a platform to make a tangible impact on the future of payments. If you have a strong foundation in data science and a keen interest in financial technologies, join us in Mumbai to shape the next generation of intelligent payment solutions.

Key Responsibilities

  • Analyze complex payment datasets to identify trends, anomalies, and insights that drive business decisions at JPMorgan Chase
  • Develop and deploy predictive models for payment fraud detection, transaction optimization, and risk assessment
  • Collaborate with engineering, product, and compliance teams to enhance analytics capabilities for global payment platforms
  • Build and maintain scalable data pipelines using tools like Apache Airflow or ETL processes for real-time payment data
  • Perform advanced statistical analysis and machine learning to improve payment processing efficiency and customer experience
  • Create visualizations and dashboards using Tableau or Power BI to communicate findings to stakeholders
  • Ensure data quality, integrity, and compliance with regulatory standards in the financial services sector
  • Conduct A/B testing and experimentation to validate model performance in payment scenarios
  • Stay updated on emerging technologies in payments and data science to innovate within JPMorgan's ecosystem
  • Document methodologies and contribute to knowledge sharing across the Payments Analytics team

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
  • 2-4 years of experience in data science, machine learning, or analytics roles within financial services or a related industry
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
  • Strong understanding of data modeling, statistical analysis, and machine learning techniques
  • Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, or GCP)
  • Ability to work with large-scale payment transaction datasets and ensure data privacy compliance (e.g., GDPR, PCI-DSS)
  • Excellent problem-solving skills and attention to detail in a fast-paced financial environment

Preferred Qualifications

  • Master's degree in Data Science, Analytics, or a related field
  • Prior experience in payments processing, fraud detection, or transaction analytics at a major financial institution
  • Familiarity with JPMorgan Chase's internal tools and payment systems like Chase Paymentech
  • Certifications in machine learning (e.g., Google Professional Data Engineer) or financial data analysis
  • Experience collaborating with cross-functional teams in agile environments

Required Skills

  • Python programming for data analysis and model building
  • SQL for querying large financial databases
  • Machine learning frameworks like scikit-learn, TensorFlow, or PyTorch
  • Statistical modeling and hypothesis testing
  • Big data processing with Spark or Hadoop
  • Data visualization tools such as Tableau or Matplotlib
  • Knowledge of payment systems and protocols (e.g., SWIFT, ISO 20022)
  • Fraud detection algorithms and anomaly detection techniques
  • Cloud computing experience (AWS, Azure)
  • Agile methodologies and version control (Git)
  • Strong analytical and critical thinking
  • Effective communication and stakeholder management
  • Attention to detail and regulatory compliance awareness
  • Problem-solving in high-stakes financial environments
  • Team collaboration and cross-functional project management

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 opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • Employee stock purchase plan and financial wellness resources
  • Flexible work arrangements, including hybrid options in Mumbai
  • Global mobility programs and career advancement support within JPMorgan Chase

JP Morgan Chase is an equal opportunity employer.

Locations

  • Mumbai, IN

Salary

Estimated Salary Rangemedium confidence

15,000,000 - 25,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • Python programming for data analysis and model buildingintermediate
  • SQL for querying large financial databasesintermediate
  • Machine learning frameworks like scikit-learn, TensorFlow, or PyTorchintermediate
  • Statistical modeling and hypothesis testingintermediate
  • Big data processing with Spark or Hadoopintermediate
  • Data visualization tools such as Tableau or Matplotlibintermediate
  • Knowledge of payment systems and protocols (e.g., SWIFT, ISO 20022)intermediate
  • Fraud detection algorithms and anomaly detection techniquesintermediate
  • Cloud computing experience (AWS, Azure)intermediate
  • Agile methodologies and version control (Git)intermediate
  • Strong analytical and critical thinkingintermediate
  • Effective communication and stakeholder managementintermediate
  • Attention to detail and regulatory compliance awarenessintermediate
  • Problem-solving in high-stakes financial environmentsintermediate
  • Team collaboration and cross-functional project managementintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
  • 2-4 years of experience in data science, machine learning, or analytics roles within financial services or a related industry (experience)
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis (experience)
  • Strong understanding of data modeling, statistical analysis, and machine learning techniques (experience)
  • Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, or GCP) (experience)
  • Ability to work with large-scale payment transaction datasets and ensure data privacy compliance (e.g., GDPR, PCI-DSS) (experience)
  • Excellent problem-solving skills and attention to detail in a fast-paced financial environment (experience)

Preferred Qualifications

  • Master's degree in Data Science, Analytics, or a related field (experience)
  • Prior experience in payments processing, fraud detection, or transaction analytics at a major financial institution (experience)
  • Familiarity with JPMorgan Chase's internal tools and payment systems like Chase Paymentech (experience)
  • Certifications in machine learning (e.g., Google Professional Data Engineer) or financial data analysis (experience)
  • Experience collaborating with cross-functional teams in agile environments (experience)

Responsibilities

  • Analyze complex payment datasets to identify trends, anomalies, and insights that drive business decisions at JPMorgan Chase
  • Develop and deploy predictive models for payment fraud detection, transaction optimization, and risk assessment
  • Collaborate with engineering, product, and compliance teams to enhance analytics capabilities for global payment platforms
  • Build and maintain scalable data pipelines using tools like Apache Airflow or ETL processes for real-time payment data
  • Perform advanced statistical analysis and machine learning to improve payment processing efficiency and customer experience
  • Create visualizations and dashboards using Tableau or Power BI to communicate findings to stakeholders
  • Ensure data quality, integrity, and compliance with regulatory standards in the financial services sector
  • Conduct A/B testing and experimentation to validate model performance in payment scenarios
  • Stay updated on emerging technologies in payments and data science to innovate within JPMorgan's ecosystem
  • Document methodologies and contribute to knowledge sharing across the Payments Analytics team

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 opportunities, including tuition reimbursement and access to JPMorgan's internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: Flexible work arrangements, including hybrid options in Mumbai
  • general: Global mobility programs and career advancement support within JPMorgan Chase

Target Your Resume for "Payments - Data Scientist Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Payments - Data Scientist Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Payments - Data Scientist 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 Payments - Data Scientist Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.