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Business Intelligence Data Scientist - Private Bank - Vice President

JP Morgan Chase

Software and Technology Jobs

Business Intelligence Data Scientist - Private Bank - Vice President

full-timePosted: Dec 2, 2025

Job Description

Business Intelligence Data Scientist - Private Bank - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of redefining private banking through innovative data science. As a Business Intelligence Data Scientist - Private Bank - Vice President in our New York office, you will play a pivotal role in leveraging advanced analytics to drive business strategy and enhance client outcomes. Reporting to the Head of Analytics for the Private Bank, you will harness vast datasets from client portfolios, market trends, and behavioral patterns to deliver actionable insights that inform personalized wealth management solutions. This position within the Predictive Science category offers the opportunity to work on high-impact projects that directly influence the success of ultra-high-net-worth clients, utilizing cutting-edge technologies to predict market shifts and optimize advisory services in a dynamic financial landscape. Your day-to-day responsibilities will involve collaborating closely with private bankers, investment strategists, and technology teams to build robust predictive models that address key challenges such as client retention, risk assessment, and investment performance. You will design sophisticated algorithms to uncover hidden patterns in financial data, enabling the Private Bank to offer tailored recommendations that align with clients' unique goals and risk profiles. By integrating machine learning with JPMorgan Chase's proprietary data platforms, you will contribute to initiatives that enhance operational efficiency, ensure regulatory compliance, and foster innovation in wealth management—ultimately helping to solidify our position as a leader in the global private banking sector. We seek a passionate data scientist who thrives in a collaborative, high-stakes environment and is committed to ethical data practices. This role demands not only technical expertise but also the ability to translate complex analyses into strategic business value, making a tangible difference for our clients and the firm. Join JPMorgan Chase's Private Bank and be part of a team that's shaping the future of personalized finance through data-driven excellence.

Key Responsibilities

  • Develop and implement advanced predictive models and machine learning algorithms to analyze client data and forecast trends in the Private Bank
  • Collaborate with business leaders to identify key data-driven opportunities that enhance client outcomes and drive strategic initiatives
  • Design and execute data pipelines for extracting, transforming, and loading large datasets from diverse financial sources
  • Create interactive dashboards and visualizations using tools like Tableau or Power BI to communicate insights to senior executives
  • Conduct statistical analysis and A/B testing to optimize private banking products, services, and client engagement strategies
  • Ensure compliance with regulatory standards (e.g., GDPR, SEC) and JPMorgan Chase's data governance policies in all analytics projects
  • Partner with technology teams to integrate AI/ML solutions into core Private Bank platforms, improving operational efficiency
  • Monitor model performance, perform ongoing validation, and iterate based on business feedback and emerging data patterns
  • Mentor junior team members and contribute to the development of best practices for business intelligence within the Private Bank
  • Stay abreast of industry trends in fintech, AI, and private banking to recommend innovative analytics approaches

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 5+ years of experience in data science, business intelligence, or advanced analytics roles within the financial services industry
  • Proven track record of developing and deploying predictive models and machine learning algorithms to drive business decisions
  • Strong proficiency in SQL, Python, and R for data manipulation, analysis, and visualization
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Knowledge of financial products, risk management, and regulatory requirements in private banking
  • Excellent communication skills with the ability to present complex data insights to non-technical stakeholders

Preferred Qualifications

  • Experience working in a private banking or wealth management environment at a major financial institution
  • Familiarity with JPMorgan Chase's data platforms and tools, such as internal analytics ecosystems
  • Certifications in data science (e.g., AWS Certified Data Analytics, Google Data Analytics Professional) or machine learning
  • Background in developing AI-driven solutions for client personalization and portfolio optimization
  • Prior leadership experience mentoring junior data scientists or cross-functional teams

Required Skills

  • Advanced proficiency in Python and R for data analysis and modeling
  • Expertise in SQL for querying large-scale financial databases
  • Machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch
  • Data visualization tools like Tableau, Power BI, or Matplotlib
  • Big data processing with Apache Spark, Hadoop, or similar technologies
  • Statistical modeling and hypothesis testing techniques
  • Knowledge of financial modeling, risk analytics, and portfolio optimization
  • Cloud computing experience with AWS, Azure, or Google Cloud
  • Strong problem-solving and analytical thinking
  • Excellent verbal and written communication skills
  • Project management and agile methodologies
  • Attention to detail and data accuracy
  • Ability to handle confidential client information ethically
  • Collaborative teamwork in cross-functional environments
  • Adaptability to fast-paced financial industry demands

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching contributions
  • 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 access to financial wellness resources
  • Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • Commuter benefits and relocation assistance for eligible roles

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced proficiency in Python and R for data analysis and modelingintermediate
  • Expertise in SQL for querying large-scale financial databasesintermediate
  • Machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorchintermediate
  • Data visualization tools like Tableau, Power BI, or Matplotlibintermediate
  • Big data processing with Apache Spark, Hadoop, or similar technologiesintermediate
  • Statistical modeling and hypothesis testing techniquesintermediate
  • Knowledge of financial modeling, risk analytics, and portfolio optimizationintermediate
  • Cloud computing experience with AWS, Azure, or Google Cloudintermediate
  • Strong problem-solving and analytical thinkingintermediate
  • Excellent verbal and written communication skillsintermediate
  • Project management and agile methodologiesintermediate
  • Attention to detail and data accuracyintermediate
  • Ability to handle confidential client information ethicallyintermediate
  • Collaborative teamwork in cross-functional environmentsintermediate
  • Adaptability to fast-paced financial industry demandsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 5+ years of experience in data science, business intelligence, or advanced analytics roles within the financial services industry (experience)
  • Proven track record of developing and deploying predictive models and machine learning algorithms to drive business decisions (experience)
  • Strong proficiency in SQL, Python, and R for data manipulation, analysis, and visualization (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Knowledge of financial products, risk management, and regulatory requirements in private banking (experience)
  • Excellent communication skills with the ability to present complex data insights to non-technical stakeholders (experience)

Preferred Qualifications

  • Experience working in a private banking or wealth management environment at a major financial institution (experience)
  • Familiarity with JPMorgan Chase's data platforms and tools, such as internal analytics ecosystems (experience)
  • Certifications in data science (e.g., AWS Certified Data Analytics, Google Data Analytics Professional) or machine learning (experience)
  • Background in developing AI-driven solutions for client personalization and portfolio optimization (experience)
  • Prior leadership experience mentoring junior data scientists or cross-functional teams (experience)

Responsibilities

  • Develop and implement advanced predictive models and machine learning algorithms to analyze client data and forecast trends in the Private Bank
  • Collaborate with business leaders to identify key data-driven opportunities that enhance client outcomes and drive strategic initiatives
  • Design and execute data pipelines for extracting, transforming, and loading large datasets from diverse financial sources
  • Create interactive dashboards and visualizations using tools like Tableau or Power BI to communicate insights to senior executives
  • Conduct statistical analysis and A/B testing to optimize private banking products, services, and client engagement strategies
  • Ensure compliance with regulatory standards (e.g., GDPR, SEC) and JPMorgan Chase's data governance policies in all analytics projects
  • Partner with technology teams to integrate AI/ML solutions into core Private Bank platforms, improving operational efficiency
  • Monitor model performance, perform ongoing validation, and iterate based on business feedback and emerging data patterns
  • Mentor junior team members and contribute to the development of best practices for business intelligence within the Private Bank
  • Stay abreast of industry trends in fintech, AI, and private banking to recommend innovative analytics approaches

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching contributions
  • 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 access to financial wellness resources
  • general: Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • general: Commuter benefits and relocation assistance for eligible roles

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JP Morgan Chase logo

Business Intelligence Data Scientist - Private Bank - Vice President

JP Morgan Chase

Software and Technology Jobs

Business Intelligence Data Scientist - Private Bank - Vice President

full-timePosted: Dec 2, 2025

Job Description

Business Intelligence Data Scientist - Private Bank - Vice President

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of redefining private banking through innovative data science. As a Business Intelligence Data Scientist - Private Bank - Vice President in our New York office, you will play a pivotal role in leveraging advanced analytics to drive business strategy and enhance client outcomes. Reporting to the Head of Analytics for the Private Bank, you will harness vast datasets from client portfolios, market trends, and behavioral patterns to deliver actionable insights that inform personalized wealth management solutions. This position within the Predictive Science category offers the opportunity to work on high-impact projects that directly influence the success of ultra-high-net-worth clients, utilizing cutting-edge technologies to predict market shifts and optimize advisory services in a dynamic financial landscape. Your day-to-day responsibilities will involve collaborating closely with private bankers, investment strategists, and technology teams to build robust predictive models that address key challenges such as client retention, risk assessment, and investment performance. You will design sophisticated algorithms to uncover hidden patterns in financial data, enabling the Private Bank to offer tailored recommendations that align with clients' unique goals and risk profiles. By integrating machine learning with JPMorgan Chase's proprietary data platforms, you will contribute to initiatives that enhance operational efficiency, ensure regulatory compliance, and foster innovation in wealth management—ultimately helping to solidify our position as a leader in the global private banking sector. We seek a passionate data scientist who thrives in a collaborative, high-stakes environment and is committed to ethical data practices. This role demands not only technical expertise but also the ability to translate complex analyses into strategic business value, making a tangible difference for our clients and the firm. Join JPMorgan Chase's Private Bank and be part of a team that's shaping the future of personalized finance through data-driven excellence.

Key Responsibilities

  • Develop and implement advanced predictive models and machine learning algorithms to analyze client data and forecast trends in the Private Bank
  • Collaborate with business leaders to identify key data-driven opportunities that enhance client outcomes and drive strategic initiatives
  • Design and execute data pipelines for extracting, transforming, and loading large datasets from diverse financial sources
  • Create interactive dashboards and visualizations using tools like Tableau or Power BI to communicate insights to senior executives
  • Conduct statistical analysis and A/B testing to optimize private banking products, services, and client engagement strategies
  • Ensure compliance with regulatory standards (e.g., GDPR, SEC) and JPMorgan Chase's data governance policies in all analytics projects
  • Partner with technology teams to integrate AI/ML solutions into core Private Bank platforms, improving operational efficiency
  • Monitor model performance, perform ongoing validation, and iterate based on business feedback and emerging data patterns
  • Mentor junior team members and contribute to the development of best practices for business intelligence within the Private Bank
  • Stay abreast of industry trends in fintech, AI, and private banking to recommend innovative analytics approaches

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
  • 5+ years of experience in data science, business intelligence, or advanced analytics roles within the financial services industry
  • Proven track record of developing and deploying predictive models and machine learning algorithms to drive business decisions
  • Strong proficiency in SQL, Python, and R for data manipulation, analysis, and visualization
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Knowledge of financial products, risk management, and regulatory requirements in private banking
  • Excellent communication skills with the ability to present complex data insights to non-technical stakeholders

Preferred Qualifications

  • Experience working in a private banking or wealth management environment at a major financial institution
  • Familiarity with JPMorgan Chase's data platforms and tools, such as internal analytics ecosystems
  • Certifications in data science (e.g., AWS Certified Data Analytics, Google Data Analytics Professional) or machine learning
  • Background in developing AI-driven solutions for client personalization and portfolio optimization
  • Prior leadership experience mentoring junior data scientists or cross-functional teams

Required Skills

  • Advanced proficiency in Python and R for data analysis and modeling
  • Expertise in SQL for querying large-scale financial databases
  • Machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch
  • Data visualization tools like Tableau, Power BI, or Matplotlib
  • Big data processing with Apache Spark, Hadoop, or similar technologies
  • Statistical modeling and hypothesis testing techniques
  • Knowledge of financial modeling, risk analytics, and portfolio optimization
  • Cloud computing experience with AWS, Azure, or Google Cloud
  • Strong problem-solving and analytical thinking
  • Excellent verbal and written communication skills
  • Project management and agile methodologies
  • Attention to detail and data accuracy
  • Ability to handle confidential client information ethically
  • Collaborative teamwork in cross-functional environments
  • Adaptability to fast-paced financial industry demands

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching contributions
  • 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 access to financial wellness resources
  • Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • Commuter benefits and relocation assistance for eligible roles

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

250,000 - 400,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced proficiency in Python and R for data analysis and modelingintermediate
  • Expertise in SQL for querying large-scale financial databasesintermediate
  • Machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorchintermediate
  • Data visualization tools like Tableau, Power BI, or Matplotlibintermediate
  • Big data processing with Apache Spark, Hadoop, or similar technologiesintermediate
  • Statistical modeling and hypothesis testing techniquesintermediate
  • Knowledge of financial modeling, risk analytics, and portfolio optimizationintermediate
  • Cloud computing experience with AWS, Azure, or Google Cloudintermediate
  • Strong problem-solving and analytical thinkingintermediate
  • Excellent verbal and written communication skillsintermediate
  • Project management and agile methodologiesintermediate
  • Attention to detail and data accuracyintermediate
  • Ability to handle confidential client information ethicallyintermediate
  • Collaborative teamwork in cross-functional environmentsintermediate
  • Adaptability to fast-paced financial industry demandsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 5+ years of experience in data science, business intelligence, or advanced analytics roles within the financial services industry (experience)
  • Proven track record of developing and deploying predictive models and machine learning algorithms to drive business decisions (experience)
  • Strong proficiency in SQL, Python, and R for data manipulation, analysis, and visualization (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Knowledge of financial products, risk management, and regulatory requirements in private banking (experience)
  • Excellent communication skills with the ability to present complex data insights to non-technical stakeholders (experience)

Preferred Qualifications

  • Experience working in a private banking or wealth management environment at a major financial institution (experience)
  • Familiarity with JPMorgan Chase's data platforms and tools, such as internal analytics ecosystems (experience)
  • Certifications in data science (e.g., AWS Certified Data Analytics, Google Data Analytics Professional) or machine learning (experience)
  • Background in developing AI-driven solutions for client personalization and portfolio optimization (experience)
  • Prior leadership experience mentoring junior data scientists or cross-functional teams (experience)

Responsibilities

  • Develop and implement advanced predictive models and machine learning algorithms to analyze client data and forecast trends in the Private Bank
  • Collaborate with business leaders to identify key data-driven opportunities that enhance client outcomes and drive strategic initiatives
  • Design and execute data pipelines for extracting, transforming, and loading large datasets from diverse financial sources
  • Create interactive dashboards and visualizations using tools like Tableau or Power BI to communicate insights to senior executives
  • Conduct statistical analysis and A/B testing to optimize private banking products, services, and client engagement strategies
  • Ensure compliance with regulatory standards (e.g., GDPR, SEC) and JPMorgan Chase's data governance policies in all analytics projects
  • Partner with technology teams to integrate AI/ML solutions into core Private Bank platforms, improving operational efficiency
  • Monitor model performance, perform ongoing validation, and iterate based on business feedback and emerging data patterns
  • Mentor junior team members and contribute to the development of best practices for business intelligence within the Private Bank
  • Stay abreast of industry trends in fintech, AI, and private banking to recommend innovative analytics approaches

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching contributions
  • 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 access to financial wellness resources
  • general: Wellness programs including gym memberships, mental health support, and onsite fitness facilities in New York
  • general: Commuter benefits and relocation assistance for eligible roles

Target Your Resume for "Business Intelligence Data Scientist - Private Bank - Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Business Intelligence Data Scientist - Private Bank - Vice President. Takes only 15 seconds!

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

Check Your ATS Score for "Business Intelligence Data Scientist - Private Bank - Vice President" , 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 Intelligence Data Scientist - Private Bank - Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.