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Data Scientist [Multiple Positions Available]

JP Morgan Chase

Software and Technology Jobs

Data Scientist [Multiple Positions Available]

full-timePosted: Dec 1, 2025

Job Description

Data Scientist [Multiple Positions Available]

Location: Jersey City, NJ, United States

Job Family: Data & Analytics

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in data and analytics. As a Data Scientist in our Jersey City, NJ office, you will play a pivotal role in leveraging data to enhance our data products, driving adoption across our investment banking, asset management, and consumer banking divisions. This position involves preparing insightful reports on product metrics that inform strategic decisions, while defining technical requirements to ensure our data products are robust, scalable, and compliant with industry regulations. With multiple positions available, this is an opportunity to contribute to high-impact projects that shape the future of financial services. Your day-to-day responsibilities will include analyzing complex datasets from financial transactions and customer interactions to identify trends and opportunities for product improvement. You will collaborate closely with cross-functional teams, including product managers, engineers, and compliance experts, to develop KPIs and visualization tools that promote data product usage. By applying advanced statistical and machine learning techniques, you will help optimize supportability features, ensuring seamless integration with JP Morgan's vast ecosystem of digital banking solutions. This role demands a blend of technical expertise and business acumen to translate data insights into actionable strategies that enhance client experiences and operational efficiency. We value professionals who thrive in a dynamic environment and are passionate about the intersection of data science and finance. In this position, you will have access to cutting-edge tools and resources at JP Morgan Chase, fostering professional growth while contributing to initiatives that support our global client base. If you are ready to drive innovation in one of the world's most influential financial institutions, join us in Jersey City to make a meaningful impact.

Key Responsibilities

  • Prepare comprehensive reports on product metrics to analyze and drive adoption of data products within JP Morgan Chase's financial services ecosystem
  • Define and document technical requirements for data product supportability, ensuring scalability and compliance with banking regulations
  • Collaborate with product teams to identify key performance indicators (KPIs) and develop dashboards for real-time monitoring
  • Conduct data analysis using statistical methods to uncover trends in financial product usage and customer behavior
  • Support the development of machine learning models to predict and enhance data product outcomes
  • Work with engineering teams to integrate data pipelines that align with JP Morgan's data governance standards
  • Present findings and recommendations to senior stakeholders to inform strategic decisions in asset management and investment banking
  • Monitor and optimize data products for performance, focusing on metrics like user engagement and ROI in financial applications
  • Ensure all data practices adhere to privacy laws such as GDPR and SEC regulations relevant to financial data

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; advanced degree preferred
  • 3+ years of experience in data science, analytics, or a related role within the financial services industry
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
  • Strong understanding of data visualization tools like Tableau or Power BI to create actionable reports
  • Experience with machine learning frameworks and statistical modeling to support product metrics
  • Knowledge of financial data products, metrics, and regulatory requirements in banking
  • Ability to collaborate with cross-functional teams including product managers and engineers

Preferred Qualifications

  • Master's or PhD in Data Science, Finance, or a related field
  • Experience working at a large financial institution like JP Morgan Chase
  • Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms like AWS
  • Certifications in data science (e.g., Google Data Analytics) or financial analytics
  • Prior involvement in driving data product adoption through metrics and insights

Required Skills

  • Python or R programming for data analysis
  • SQL for querying large financial datasets
  • Machine learning algorithms and model deployment
  • Data visualization with Tableau or similar tools
  • Statistical analysis and hypothesis testing
  • Big data processing with Spark or Hadoop
  • Financial modeling and metrics interpretation
  • Cloud computing experience (AWS, Azure)
  • Problem-solving and analytical thinking
  • Communication skills for stakeholder presentations
  • Agile methodologies in data projects
  • Knowledge of regulatory compliance in finance
  • Team collaboration and project management
  • Attention to detail in data quality assurance
  • Adaptability to fast-paced banking environment

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 JP Morgan's internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at Jersey City location
  • Flexible work arrangements and hybrid remote options

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Python or R programming for data analysisintermediate
  • SQL for querying large financial datasetsintermediate
  • Machine learning algorithms and model deploymentintermediate
  • Data visualization with Tableau or similar toolsintermediate
  • Statistical analysis and hypothesis testingintermediate
  • Big data processing with Spark or Hadoopintermediate
  • Financial modeling and metrics interpretationintermediate
  • Cloud computing experience (AWS, Azure)intermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication skills for stakeholder presentationsintermediate
  • Agile methodologies in data projectsintermediate
  • Knowledge of regulatory compliance in financeintermediate
  • Team collaboration and project managementintermediate
  • Attention to detail in data quality assuranceintermediate
  • Adaptability to fast-paced banking environmentintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; advanced degree preferred (experience)
  • 3+ years of experience in data science, analytics, or a related role within the financial services industry (experience)
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis (experience)
  • Strong understanding of data visualization tools like Tableau or Power BI to create actionable reports (experience)
  • Experience with machine learning frameworks and statistical modeling to support product metrics (experience)
  • Knowledge of financial data products, metrics, and regulatory requirements in banking (experience)
  • Ability to collaborate with cross-functional teams including product managers and engineers (experience)

Preferred Qualifications

  • Master's or PhD in Data Science, Finance, or a related field (experience)
  • Experience working at a large financial institution like JP Morgan Chase (experience)
  • Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms like AWS (experience)
  • Certifications in data science (e.g., Google Data Analytics) or financial analytics (experience)
  • Prior involvement in driving data product adoption through metrics and insights (experience)

Responsibilities

  • Prepare comprehensive reports on product metrics to analyze and drive adoption of data products within JP Morgan Chase's financial services ecosystem
  • Define and document technical requirements for data product supportability, ensuring scalability and compliance with banking regulations
  • Collaborate with product teams to identify key performance indicators (KPIs) and develop dashboards for real-time monitoring
  • Conduct data analysis using statistical methods to uncover trends in financial product usage and customer behavior
  • Support the development of machine learning models to predict and enhance data product outcomes
  • Work with engineering teams to integrate data pipelines that align with JP Morgan's data governance standards
  • Present findings and recommendations to senior stakeholders to inform strategic decisions in asset management and investment banking
  • Monitor and optimize data products for performance, focusing on metrics like user engagement and ROI in financial applications
  • Ensure all data practices adhere to privacy laws such as GDPR and SEC regulations relevant to financial data

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 JP Morgan's internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at Jersey City location
  • general: Flexible work arrangements and hybrid remote options

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JP Morgan Chase logo

Data Scientist [Multiple Positions Available]

JP Morgan Chase

Software and Technology Jobs

Data Scientist [Multiple Positions Available]

full-timePosted: Dec 1, 2025

Job Description

Data Scientist [Multiple Positions Available]

Location: Jersey City, NJ, United States

Job Family: Data & Analytics

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in data and analytics. As a Data Scientist in our Jersey City, NJ office, you will play a pivotal role in leveraging data to enhance our data products, driving adoption across our investment banking, asset management, and consumer banking divisions. This position involves preparing insightful reports on product metrics that inform strategic decisions, while defining technical requirements to ensure our data products are robust, scalable, and compliant with industry regulations. With multiple positions available, this is an opportunity to contribute to high-impact projects that shape the future of financial services. Your day-to-day responsibilities will include analyzing complex datasets from financial transactions and customer interactions to identify trends and opportunities for product improvement. You will collaborate closely with cross-functional teams, including product managers, engineers, and compliance experts, to develop KPIs and visualization tools that promote data product usage. By applying advanced statistical and machine learning techniques, you will help optimize supportability features, ensuring seamless integration with JP Morgan's vast ecosystem of digital banking solutions. This role demands a blend of technical expertise and business acumen to translate data insights into actionable strategies that enhance client experiences and operational efficiency. We value professionals who thrive in a dynamic environment and are passionate about the intersection of data science and finance. In this position, you will have access to cutting-edge tools and resources at JP Morgan Chase, fostering professional growth while contributing to initiatives that support our global client base. If you are ready to drive innovation in one of the world's most influential financial institutions, join us in Jersey City to make a meaningful impact.

Key Responsibilities

  • Prepare comprehensive reports on product metrics to analyze and drive adoption of data products within JP Morgan Chase's financial services ecosystem
  • Define and document technical requirements for data product supportability, ensuring scalability and compliance with banking regulations
  • Collaborate with product teams to identify key performance indicators (KPIs) and develop dashboards for real-time monitoring
  • Conduct data analysis using statistical methods to uncover trends in financial product usage and customer behavior
  • Support the development of machine learning models to predict and enhance data product outcomes
  • Work with engineering teams to integrate data pipelines that align with JP Morgan's data governance standards
  • Present findings and recommendations to senior stakeholders to inform strategic decisions in asset management and investment banking
  • Monitor and optimize data products for performance, focusing on metrics like user engagement and ROI in financial applications
  • Ensure all data practices adhere to privacy laws such as GDPR and SEC regulations relevant to financial data

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; advanced degree preferred
  • 3+ years of experience in data science, analytics, or a related role within the financial services industry
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
  • Strong understanding of data visualization tools like Tableau or Power BI to create actionable reports
  • Experience with machine learning frameworks and statistical modeling to support product metrics
  • Knowledge of financial data products, metrics, and regulatory requirements in banking
  • Ability to collaborate with cross-functional teams including product managers and engineers

Preferred Qualifications

  • Master's or PhD in Data Science, Finance, or a related field
  • Experience working at a large financial institution like JP Morgan Chase
  • Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms like AWS
  • Certifications in data science (e.g., Google Data Analytics) or financial analytics
  • Prior involvement in driving data product adoption through metrics and insights

Required Skills

  • Python or R programming for data analysis
  • SQL for querying large financial datasets
  • Machine learning algorithms and model deployment
  • Data visualization with Tableau or similar tools
  • Statistical analysis and hypothesis testing
  • Big data processing with Spark or Hadoop
  • Financial modeling and metrics interpretation
  • Cloud computing experience (AWS, Azure)
  • Problem-solving and analytical thinking
  • Communication skills for stakeholder presentations
  • Agile methodologies in data projects
  • Knowledge of regulatory compliance in finance
  • Team collaboration and project management
  • Attention to detail in data quality assurance
  • Adaptability to fast-paced banking environment

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 JP Morgan's internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness programs at Jersey City location
  • Flexible work arrangements and hybrid remote options

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Python or R programming for data analysisintermediate
  • SQL for querying large financial datasetsintermediate
  • Machine learning algorithms and model deploymentintermediate
  • Data visualization with Tableau or similar toolsintermediate
  • Statistical analysis and hypothesis testingintermediate
  • Big data processing with Spark or Hadoopintermediate
  • Financial modeling and metrics interpretationintermediate
  • Cloud computing experience (AWS, Azure)intermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication skills for stakeholder presentationsintermediate
  • Agile methodologies in data projectsintermediate
  • Knowledge of regulatory compliance in financeintermediate
  • Team collaboration and project managementintermediate
  • Attention to detail in data quality assuranceintermediate
  • Adaptability to fast-paced banking environmentintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; advanced degree preferred (experience)
  • 3+ years of experience in data science, analytics, or a related role within the financial services industry (experience)
  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis (experience)
  • Strong understanding of data visualization tools like Tableau or Power BI to create actionable reports (experience)
  • Experience with machine learning frameworks and statistical modeling to support product metrics (experience)
  • Knowledge of financial data products, metrics, and regulatory requirements in banking (experience)
  • Ability to collaborate with cross-functional teams including product managers and engineers (experience)

Preferred Qualifications

  • Master's or PhD in Data Science, Finance, or a related field (experience)
  • Experience working at a large financial institution like JP Morgan Chase (experience)
  • Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms like AWS (experience)
  • Certifications in data science (e.g., Google Data Analytics) or financial analytics (experience)
  • Prior involvement in driving data product adoption through metrics and insights (experience)

Responsibilities

  • Prepare comprehensive reports on product metrics to analyze and drive adoption of data products within JP Morgan Chase's financial services ecosystem
  • Define and document technical requirements for data product supportability, ensuring scalability and compliance with banking regulations
  • Collaborate with product teams to identify key performance indicators (KPIs) and develop dashboards for real-time monitoring
  • Conduct data analysis using statistical methods to uncover trends in financial product usage and customer behavior
  • Support the development of machine learning models to predict and enhance data product outcomes
  • Work with engineering teams to integrate data pipelines that align with JP Morgan's data governance standards
  • Present findings and recommendations to senior stakeholders to inform strategic decisions in asset management and investment banking
  • Monitor and optimize data products for performance, focusing on metrics like user engagement and ROI in financial applications
  • Ensure all data practices adhere to privacy laws such as GDPR and SEC regulations relevant to financial data

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 JP Morgan's internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness programs at Jersey City location
  • general: Flexible work arrangements and hybrid remote options

Target Your Resume for "Data Scientist [Multiple Positions Available]" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Data Scientist [Multiple Positions Available]. Takes only 15 seconds!

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

Check Your ATS Score for "Data Scientist [Multiple Positions Available]" , 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

Data & AnalyticsFinancial ServicesBankingJP MorganData & Analytics

Answer 10 quick questions to check your fit for Data Scientist [Multiple Positions Available] @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.