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Business Intelligence Data Scientist for the International Private Bank

JP Morgan Chase

Software and Technology Jobs

Business Intelligence Data Scientist for the International Private Bank

internshipPosted: Nov 26, 2025

Job Description

Business Intelligence Data Scientist for the International Private Bank

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client focus. Our International Private Bank serves high-net-worth individuals and families worldwide, delivering personalized wealth management solutions. We are seeking an experienced Business Intelligence Data Scientist to join our Predictive Science team in London, United Kingdom. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to drive actionable insights that enhance client experiences and business outcomes in the competitive private banking landscape. As part of our dynamic team, you will contribute to JP Morgan's commitment to technological excellence and regulatory compliance in an international setting. Your primary focus will be on developing sophisticated predictive models to forecast client needs, optimize investment portfolios, and mitigate risks in real-time. You will analyze vast datasets from diverse sources, including market data, transaction histories, and client interactions, to uncover patterns that inform strategic decisions. Collaborating closely with portfolio managers, relationship advisors, and technology teams, you will translate complex data findings into intuitive business intelligence tools and recommendations. This position offers the opportunity to work on cutting-edge projects that directly impact JP Morgan's global private banking operations, ensuring our solutions remain at the forefront of the financial services industry. We value professionals who thrive in a collaborative, high-stakes environment and are passionate about using data science to create value. The role demands a blend of technical expertise and business acumen, with a strong emphasis on ethical data handling and adherence to standards like GDPR. Join JP Morgan Chase in London to advance your career while contributing to our mission of empowering clients through innovative, data-driven wealth management strategies.

Key Responsibilities

  • Develop and implement predictive models using machine learning to analyze client behavior and optimize investment strategies for JP Morgan's International Private Bank
  • Conduct advanced statistical analysis on large datasets to identify trends in wealth management and risk assessment
  • Collaborate with cross-functional teams including portfolio managers and compliance officers to integrate data-driven insights into business decisions
  • Design and deploy business intelligence dashboards using tools like Tableau or Power BI to visualize key performance metrics for private banking clients
  • Perform data mining and feature engineering on financial datasets to enhance model accuracy and predictive power
  • Ensure all analytical solutions comply with JP Morgan's data governance policies and international regulatory requirements
  • Lead A/B testing and experimentation to validate the impact of data science initiatives on client retention and portfolio performance
  • Stay abreast of emerging technologies in AI and machine learning, applying them to solve complex problems in private banking
  • Mentor junior data scientists and contribute to the development of best practices for data science within the organization

Required Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
  • Minimum of 3-5 years of professional experience as a Data Scientist in the financial services industry, preferably in private banking or wealth management
  • Proven expertise in advanced analytics, machine learning algorithms, and statistical modeling techniques
  • Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
  • Experience working with large-scale datasets and cloud-based data platforms in a regulated financial environment
  • Familiarity with data privacy regulations such as GDPR and financial compliance standards relevant to international banking

Preferred Qualifications

  • Advanced degree (PhD) in a quantitative discipline with a focus on machine learning or predictive analytics
  • Prior experience at a global financial institution like JP Morgan Chase, involving client data analytics for high-net-worth individuals
  • Certification in machine learning (e.g., from Coursera or AWS) or data science tools
  • Knowledge of natural language processing (NLP) for analyzing unstructured financial data such as client communications

Required Skills

  • Proficiency in Python and R for statistical modeling and machine learning
  • Expertise in SQL for querying large financial databases
  • Knowledge of machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch
  • Experience with big data tools like Hadoop, Spark, or AWS services
  • Strong analytical and problem-solving skills for complex financial datasets
  • Excellent communication skills to present insights to non-technical stakeholders in private banking
  • Attention to detail and accuracy in handling sensitive client data
  • Project management abilities to lead data science initiatives from inception to deployment
  • Understanding of financial concepts including asset allocation, risk modeling, and portfolio optimization
  • Familiarity with visualization tools like Tableau, Power BI, or Matplotlib
  • Adaptability to fast-paced environments in global financial services
  • Team collaboration skills in multicultural, international teams
  • Ethical judgment in data privacy and compliance matters

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JP Morgan's global compensation structure
  • Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • Generous retirement savings plan with employer matching contributions up to 6% of salary
  • Paid time off including 25+ vacation days, parental leave, and flexible working arrangements
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Global mobility support for international roles, including relocation assistance to London
  • Wellness programs featuring gym memberships, mental health support, and onsite facilities in JP Morgan offices

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python and R for statistical modeling and machine learningintermediate
  • Expertise in SQL for querying large financial databasesintermediate
  • Knowledge of machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorchintermediate
  • Experience with big data tools like Hadoop, Spark, or AWS servicesintermediate
  • Strong analytical and problem-solving skills for complex financial datasetsintermediate
  • Excellent communication skills to present insights to non-technical stakeholders in private bankingintermediate
  • Attention to detail and accuracy in handling sensitive client dataintermediate
  • Project management abilities to lead data science initiatives from inception to deploymentintermediate
  • Understanding of financial concepts including asset allocation, risk modeling, and portfolio optimizationintermediate
  • Familiarity with visualization tools like Tableau, Power BI, or Matplotlibintermediate
  • Adaptability to fast-paced environments in global financial servicesintermediate
  • Team collaboration skills in multicultural, international teamsintermediate
  • Ethical judgment in data privacy and compliance mattersintermediate

Required Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (experience)
  • Minimum of 3-5 years of professional experience as a Data Scientist in the financial services industry, preferably in private banking or wealth management (experience)
  • Proven expertise in advanced analytics, machine learning algorithms, and statistical modeling techniques (experience)
  • Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis (experience)
  • Experience working with large-scale datasets and cloud-based data platforms in a regulated financial environment (experience)
  • Familiarity with data privacy regulations such as GDPR and financial compliance standards relevant to international banking (experience)

Preferred Qualifications

  • Advanced degree (PhD) in a quantitative discipline with a focus on machine learning or predictive analytics (experience)
  • Prior experience at a global financial institution like JP Morgan Chase, involving client data analytics for high-net-worth individuals (experience)
  • Certification in machine learning (e.g., from Coursera or AWS) or data science tools (experience)
  • Knowledge of natural language processing (NLP) for analyzing unstructured financial data such as client communications (experience)

Responsibilities

  • Develop and implement predictive models using machine learning to analyze client behavior and optimize investment strategies for JP Morgan's International Private Bank
  • Conduct advanced statistical analysis on large datasets to identify trends in wealth management and risk assessment
  • Collaborate with cross-functional teams including portfolio managers and compliance officers to integrate data-driven insights into business decisions
  • Design and deploy business intelligence dashboards using tools like Tableau or Power BI to visualize key performance metrics for private banking clients
  • Perform data mining and feature engineering on financial datasets to enhance model accuracy and predictive power
  • Ensure all analytical solutions comply with JP Morgan's data governance policies and international regulatory requirements
  • Lead A/B testing and experimentation to validate the impact of data science initiatives on client retention and portfolio performance
  • Stay abreast of emerging technologies in AI and machine learning, applying them to solve complex problems in private banking
  • Mentor junior data scientists and contribute to the development of best practices for data science within the organization

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JP Morgan's global compensation structure
  • general: Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • general: Generous retirement savings plan with employer matching contributions up to 6% of salary
  • general: Paid time off including 25+ vacation days, parental leave, and flexible working arrangements
  • 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: Global mobility support for international roles, including relocation assistance to London
  • general: Wellness programs featuring gym memberships, mental health support, and onsite facilities in JP Morgan offices

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JP Morgan Chase logo

Business Intelligence Data Scientist for the International Private Bank

JP Morgan Chase

Software and Technology Jobs

Business Intelligence Data Scientist for the International Private Bank

internshipPosted: Nov 26, 2025

Job Description

Business Intelligence Data Scientist for the International Private Bank

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client focus. Our International Private Bank serves high-net-worth individuals and families worldwide, delivering personalized wealth management solutions. We are seeking an experienced Business Intelligence Data Scientist to join our Predictive Science team in London, United Kingdom. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to drive actionable insights that enhance client experiences and business outcomes in the competitive private banking landscape. As part of our dynamic team, you will contribute to JP Morgan's commitment to technological excellence and regulatory compliance in an international setting. Your primary focus will be on developing sophisticated predictive models to forecast client needs, optimize investment portfolios, and mitigate risks in real-time. You will analyze vast datasets from diverse sources, including market data, transaction histories, and client interactions, to uncover patterns that inform strategic decisions. Collaborating closely with portfolio managers, relationship advisors, and technology teams, you will translate complex data findings into intuitive business intelligence tools and recommendations. This position offers the opportunity to work on cutting-edge projects that directly impact JP Morgan's global private banking operations, ensuring our solutions remain at the forefront of the financial services industry. We value professionals who thrive in a collaborative, high-stakes environment and are passionate about using data science to create value. The role demands a blend of technical expertise and business acumen, with a strong emphasis on ethical data handling and adherence to standards like GDPR. Join JP Morgan Chase in London to advance your career while contributing to our mission of empowering clients through innovative, data-driven wealth management strategies.

Key Responsibilities

  • Develop and implement predictive models using machine learning to analyze client behavior and optimize investment strategies for JP Morgan's International Private Bank
  • Conduct advanced statistical analysis on large datasets to identify trends in wealth management and risk assessment
  • Collaborate with cross-functional teams including portfolio managers and compliance officers to integrate data-driven insights into business decisions
  • Design and deploy business intelligence dashboards using tools like Tableau or Power BI to visualize key performance metrics for private banking clients
  • Perform data mining and feature engineering on financial datasets to enhance model accuracy and predictive power
  • Ensure all analytical solutions comply with JP Morgan's data governance policies and international regulatory requirements
  • Lead A/B testing and experimentation to validate the impact of data science initiatives on client retention and portfolio performance
  • Stay abreast of emerging technologies in AI and machine learning, applying them to solve complex problems in private banking
  • Mentor junior data scientists and contribute to the development of best practices for data science within the organization

Required Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
  • Minimum of 3-5 years of professional experience as a Data Scientist in the financial services industry, preferably in private banking or wealth management
  • Proven expertise in advanced analytics, machine learning algorithms, and statistical modeling techniques
  • Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
  • Experience working with large-scale datasets and cloud-based data platforms in a regulated financial environment
  • Familiarity with data privacy regulations such as GDPR and financial compliance standards relevant to international banking

Preferred Qualifications

  • Advanced degree (PhD) in a quantitative discipline with a focus on machine learning or predictive analytics
  • Prior experience at a global financial institution like JP Morgan Chase, involving client data analytics for high-net-worth individuals
  • Certification in machine learning (e.g., from Coursera or AWS) or data science tools
  • Knowledge of natural language processing (NLP) for analyzing unstructured financial data such as client communications

Required Skills

  • Proficiency in Python and R for statistical modeling and machine learning
  • Expertise in SQL for querying large financial databases
  • Knowledge of machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch
  • Experience with big data tools like Hadoop, Spark, or AWS services
  • Strong analytical and problem-solving skills for complex financial datasets
  • Excellent communication skills to present insights to non-technical stakeholders in private banking
  • Attention to detail and accuracy in handling sensitive client data
  • Project management abilities to lead data science initiatives from inception to deployment
  • Understanding of financial concepts including asset allocation, risk modeling, and portfolio optimization
  • Familiarity with visualization tools like Tableau, Power BI, or Matplotlib
  • Adaptability to fast-paced environments in global financial services
  • Team collaboration skills in multicultural, international teams
  • Ethical judgment in data privacy and compliance matters

Benefits

  • Competitive base salary and performance-based annual bonuses aligned with JP Morgan's global compensation structure
  • Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • Generous retirement savings plan with employer matching contributions up to 6% of salary
  • Paid time off including 25+ vacation days, parental leave, and flexible working arrangements
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and access to financial wellness resources
  • Global mobility support for international roles, including relocation assistance to London
  • Wellness programs featuring gym memberships, mental health support, and onsite facilities in JP Morgan offices

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in Python and R for statistical modeling and machine learningintermediate
  • Expertise in SQL for querying large financial databasesintermediate
  • Knowledge of machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorchintermediate
  • Experience with big data tools like Hadoop, Spark, or AWS servicesintermediate
  • Strong analytical and problem-solving skills for complex financial datasetsintermediate
  • Excellent communication skills to present insights to non-technical stakeholders in private bankingintermediate
  • Attention to detail and accuracy in handling sensitive client dataintermediate
  • Project management abilities to lead data science initiatives from inception to deploymentintermediate
  • Understanding of financial concepts including asset allocation, risk modeling, and portfolio optimizationintermediate
  • Familiarity with visualization tools like Tableau, Power BI, or Matplotlibintermediate
  • Adaptability to fast-paced environments in global financial servicesintermediate
  • Team collaboration skills in multicultural, international teamsintermediate
  • Ethical judgment in data privacy and compliance mattersintermediate

Required Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (experience)
  • Minimum of 3-5 years of professional experience as a Data Scientist in the financial services industry, preferably in private banking or wealth management (experience)
  • Proven expertise in advanced analytics, machine learning algorithms, and statistical modeling techniques (experience)
  • Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis (experience)
  • Experience working with large-scale datasets and cloud-based data platforms in a regulated financial environment (experience)
  • Familiarity with data privacy regulations such as GDPR and financial compliance standards relevant to international banking (experience)

Preferred Qualifications

  • Advanced degree (PhD) in a quantitative discipline with a focus on machine learning or predictive analytics (experience)
  • Prior experience at a global financial institution like JP Morgan Chase, involving client data analytics for high-net-worth individuals (experience)
  • Certification in machine learning (e.g., from Coursera or AWS) or data science tools (experience)
  • Knowledge of natural language processing (NLP) for analyzing unstructured financial data such as client communications (experience)

Responsibilities

  • Develop and implement predictive models using machine learning to analyze client behavior and optimize investment strategies for JP Morgan's International Private Bank
  • Conduct advanced statistical analysis on large datasets to identify trends in wealth management and risk assessment
  • Collaborate with cross-functional teams including portfolio managers and compliance officers to integrate data-driven insights into business decisions
  • Design and deploy business intelligence dashboards using tools like Tableau or Power BI to visualize key performance metrics for private banking clients
  • Perform data mining and feature engineering on financial datasets to enhance model accuracy and predictive power
  • Ensure all analytical solutions comply with JP Morgan's data governance policies and international regulatory requirements
  • Lead A/B testing and experimentation to validate the impact of data science initiatives on client retention and portfolio performance
  • Stay abreast of emerging technologies in AI and machine learning, applying them to solve complex problems in private banking
  • Mentor junior data scientists and contribute to the development of best practices for data science within the organization

Benefits

  • general: Competitive base salary and performance-based annual bonuses aligned with JP Morgan's global compensation structure
  • general: Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
  • general: Generous retirement savings plan with employer matching contributions up to 6% of salary
  • general: Paid time off including 25+ vacation days, parental leave, and flexible working arrangements
  • 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: Global mobility support for international roles, including relocation assistance to London
  • general: Wellness programs featuring gym memberships, mental health support, and onsite facilities in JP Morgan offices

Target Your Resume for "Business Intelligence Data Scientist for the International Private Bank" , JP Morgan Chase

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

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

Check Your ATS Score for "Business Intelligence Data Scientist for the International Private Bank" , 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 for the International Private Bank @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.