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Assistant Vice President - Data Analytics Solutions

JP Morgan Chase

Finance Jobs

Assistant Vice President - Data Analytics Solutions

full-timePosted: Nov 10, 2025

Job Description

Assistant Vice President - Data Analytics Solutions

Location: Hyderabad, Telangana, India

Job Family: Analytics Solutions & Delivery

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge data analytics to empower our global operations in investment banking, consumer banking, and asset management. As an Assistant Vice President - Data Analytics Solutions in our Hyderabad office, you will play a pivotal role in the Analytics Solutions & Delivery team, driving the creation of robust data platforms that inform critical business decisions. This position offers the opportunity to work on high-impact projects that enhance risk management, customer insights, and operational efficiency in one of the world's leading financial institutions. Reporting to the Vice President of Data Analytics, you will contribute to a dynamic environment where data-driven strategies shape the future of finance. Your primary focus will be on architecting end-to-end analytics solutions tailored to the complexities of the financial services sector. This includes gathering requirements from diverse business units, such as Commercial Banking and Corporate, to design data models that comply with stringent regulations like Basel III and anti-money laundering standards. You will utilize advanced tools to process vast datasets from market transactions and client portfolios, ensuring seamless integration with JPMorgan's proprietary systems. By leading agile teams, you will deliver scalable solutions that not only meet immediate needs but also anticipate emerging trends in fintech and digital transformation. In this role, collaboration is key—you will partner with data scientists, engineers, and compliance experts to innovate while upholding JPMorgan Chase's commitment to ethical data practices. The position demands a blend of technical expertise and business acumen to translate complex financial data into strategic insights, ultimately supporting our mission to deliver superior value to clients worldwide. Join us in Hyderabad, a hub of technological excellence, and advance your career in a supportive culture that values diversity, inclusion, and continuous learning.

Key Responsibilities

  • Design and implement scalable data analytics solutions to support business intelligence needs in investment banking and asset management
  • Collaborate with stakeholders across JPMorgan Chase to identify data requirements and translate them into actionable analytics deliverables
  • Develop and maintain data pipelines using ETL processes to ensure high-quality data for financial reporting and risk assessment
  • Lead the delivery of analytics projects, from inception to deployment, ensuring alignment with regulatory standards and internal policies
  • Perform advanced data analysis to uncover insights that drive strategic decisions in areas like market trends and customer behavior
  • Mentor junior analysts and oversee team performance to foster a culture of innovation in data solutions
  • Monitor and optimize data systems for performance, scalability, and security in a high-volume financial environment
  • Conduct regular reviews of analytics tools and recommend enhancements to improve efficiency in global operations
  • Ensure compliance with data privacy laws and JPMorgan's ethical standards in all analytics initiatives
  • Present findings and recommendations to senior leadership to influence business strategies

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred
  • 5+ years of experience in data analytics, data engineering, or solutions delivery within the financial services industry
  • Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, Basel III)
  • Demonstrated ability to lead cross-functional teams in delivering analytics projects
  • Excellent problem-solving skills with a track record of optimizing data pipelines for financial applications

Preferred Qualifications

  • Advanced certification in data analytics (e.g., Google Data Analytics Professional Certificate or AWS Certified Data Analytics)
  • Experience in financial modeling, risk analytics, or fraud detection within a banking environment
  • Knowledge of machine learning frameworks like TensorFlow or scikit-learn applied to financial datasets
  • Prior work at a global financial institution with exposure to agile methodologies
  • Familiarity with JPMorgan Chase's internal tools and data platforms

Required Skills

  • SQL and database management
  • Python or R for data analysis
  • Data visualization (Tableau, Power BI)
  • Big data tools (Hadoop, Spark)
  • Cloud computing (AWS, Azure, GCP)
  • Machine learning basics
  • Financial domain knowledge (risk, compliance)
  • ETL processes and data modeling
  • Agile project management
  • Problem-solving and analytical thinking
  • Communication and stakeholder management
  • Leadership and team collaboration
  • Regulatory awareness (GDPR, SOX)
  • Statistical analysis
  • Scripting for automation

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 programs and tuition reimbursement for advanced certifications
  • Employee wellness initiatives, including gym memberships and mental health support
  • Stock purchase plan and employee stock ownership opportunities
  • Flexible work arrangements and hybrid office options in Hyderabad

JP Morgan Chase is an equal opportunity employer.

Locations

  • Hyderabad, IN

Salary

Estimated Salary Rangehigh confidence

3,500,000 - 5,500,000 INR / yearly

Source: ai estimated

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

Skills Required

  • SQL and database managementintermediate
  • Python or R for data analysisintermediate
  • Data visualization (Tableau, Power BI)intermediate
  • Big data tools (Hadoop, Spark)intermediate
  • Cloud computing (AWS, Azure, GCP)intermediate
  • Machine learning basicsintermediate
  • Financial domain knowledge (risk, compliance)intermediate
  • ETL processes and data modelingintermediate
  • Agile project managementintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and stakeholder managementintermediate
  • Leadership and team collaborationintermediate
  • Regulatory awareness (GDPR, SOX)intermediate
  • Statistical analysisintermediate
  • Scripting for automationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred (experience)
  • 5+ years of experience in data analytics, data engineering, or solutions delivery within the financial services industry (experience)
  • Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, Basel III) (experience)
  • Demonstrated ability to lead cross-functional teams in delivering analytics projects (experience)
  • Excellent problem-solving skills with a track record of optimizing data pipelines for financial applications (experience)

Preferred Qualifications

  • Advanced certification in data analytics (e.g., Google Data Analytics Professional Certificate or AWS Certified Data Analytics) (experience)
  • Experience in financial modeling, risk analytics, or fraud detection within a banking environment (experience)
  • Knowledge of machine learning frameworks like TensorFlow or scikit-learn applied to financial datasets (experience)
  • Prior work at a global financial institution with exposure to agile methodologies (experience)
  • Familiarity with JPMorgan Chase's internal tools and data platforms (experience)

Responsibilities

  • Design and implement scalable data analytics solutions to support business intelligence needs in investment banking and asset management
  • Collaborate with stakeholders across JPMorgan Chase to identify data requirements and translate them into actionable analytics deliverables
  • Develop and maintain data pipelines using ETL processes to ensure high-quality data for financial reporting and risk assessment
  • Lead the delivery of analytics projects, from inception to deployment, ensuring alignment with regulatory standards and internal policies
  • Perform advanced data analysis to uncover insights that drive strategic decisions in areas like market trends and customer behavior
  • Mentor junior analysts and oversee team performance to foster a culture of innovation in data solutions
  • Monitor and optimize data systems for performance, scalability, and security in a high-volume financial environment
  • Conduct regular reviews of analytics tools and recommend enhancements to improve efficiency in global operations
  • Ensure compliance with data privacy laws and JPMorgan's ethical standards in all analytics initiatives
  • Present findings and recommendations to senior leadership to influence business strategies

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 programs and tuition reimbursement for advanced certifications
  • general: Employee wellness initiatives, including gym memberships and mental health support
  • general: Stock purchase plan and employee stock ownership opportunities
  • general: Flexible work arrangements and hybrid office options in Hyderabad

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JP Morgan Chase logo

Assistant Vice President - Data Analytics Solutions

JP Morgan Chase

Finance Jobs

Assistant Vice President - Data Analytics Solutions

full-timePosted: Nov 10, 2025

Job Description

Assistant Vice President - Data Analytics Solutions

Location: Hyderabad, Telangana, India

Job Family: Analytics Solutions & Delivery

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge data analytics to empower our global operations in investment banking, consumer banking, and asset management. As an Assistant Vice President - Data Analytics Solutions in our Hyderabad office, you will play a pivotal role in the Analytics Solutions & Delivery team, driving the creation of robust data platforms that inform critical business decisions. This position offers the opportunity to work on high-impact projects that enhance risk management, customer insights, and operational efficiency in one of the world's leading financial institutions. Reporting to the Vice President of Data Analytics, you will contribute to a dynamic environment where data-driven strategies shape the future of finance. Your primary focus will be on architecting end-to-end analytics solutions tailored to the complexities of the financial services sector. This includes gathering requirements from diverse business units, such as Commercial Banking and Corporate, to design data models that comply with stringent regulations like Basel III and anti-money laundering standards. You will utilize advanced tools to process vast datasets from market transactions and client portfolios, ensuring seamless integration with JPMorgan's proprietary systems. By leading agile teams, you will deliver scalable solutions that not only meet immediate needs but also anticipate emerging trends in fintech and digital transformation. In this role, collaboration is key—you will partner with data scientists, engineers, and compliance experts to innovate while upholding JPMorgan Chase's commitment to ethical data practices. The position demands a blend of technical expertise and business acumen to translate complex financial data into strategic insights, ultimately supporting our mission to deliver superior value to clients worldwide. Join us in Hyderabad, a hub of technological excellence, and advance your career in a supportive culture that values diversity, inclusion, and continuous learning.

Key Responsibilities

  • Design and implement scalable data analytics solutions to support business intelligence needs in investment banking and asset management
  • Collaborate with stakeholders across JPMorgan Chase to identify data requirements and translate them into actionable analytics deliverables
  • Develop and maintain data pipelines using ETL processes to ensure high-quality data for financial reporting and risk assessment
  • Lead the delivery of analytics projects, from inception to deployment, ensuring alignment with regulatory standards and internal policies
  • Perform advanced data analysis to uncover insights that drive strategic decisions in areas like market trends and customer behavior
  • Mentor junior analysts and oversee team performance to foster a culture of innovation in data solutions
  • Monitor and optimize data systems for performance, scalability, and security in a high-volume financial environment
  • Conduct regular reviews of analytics tools and recommend enhancements to improve efficiency in global operations
  • Ensure compliance with data privacy laws and JPMorgan's ethical standards in all analytics initiatives
  • Present findings and recommendations to senior leadership to influence business strategies

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred
  • 5+ years of experience in data analytics, data engineering, or solutions delivery within the financial services industry
  • Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, Basel III)
  • Demonstrated ability to lead cross-functional teams in delivering analytics projects
  • Excellent problem-solving skills with a track record of optimizing data pipelines for financial applications

Preferred Qualifications

  • Advanced certification in data analytics (e.g., Google Data Analytics Professional Certificate or AWS Certified Data Analytics)
  • Experience in financial modeling, risk analytics, or fraud detection within a banking environment
  • Knowledge of machine learning frameworks like TensorFlow or scikit-learn applied to financial datasets
  • Prior work at a global financial institution with exposure to agile methodologies
  • Familiarity with JPMorgan Chase's internal tools and data platforms

Required Skills

  • SQL and database management
  • Python or R for data analysis
  • Data visualization (Tableau, Power BI)
  • Big data tools (Hadoop, Spark)
  • Cloud computing (AWS, Azure, GCP)
  • Machine learning basics
  • Financial domain knowledge (risk, compliance)
  • ETL processes and data modeling
  • Agile project management
  • Problem-solving and analytical thinking
  • Communication and stakeholder management
  • Leadership and team collaboration
  • Regulatory awareness (GDPR, SOX)
  • Statistical analysis
  • Scripting for automation

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 programs and tuition reimbursement for advanced certifications
  • Employee wellness initiatives, including gym memberships and mental health support
  • Stock purchase plan and employee stock ownership opportunities
  • Flexible work arrangements and hybrid office options in Hyderabad

JP Morgan Chase is an equal opportunity employer.

Locations

  • Hyderabad, IN

Salary

Estimated Salary Rangehigh confidence

3,500,000 - 5,500,000 INR / yearly

Source: ai estimated

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

Skills Required

  • SQL and database managementintermediate
  • Python or R for data analysisintermediate
  • Data visualization (Tableau, Power BI)intermediate
  • Big data tools (Hadoop, Spark)intermediate
  • Cloud computing (AWS, Azure, GCP)intermediate
  • Machine learning basicsintermediate
  • Financial domain knowledge (risk, compliance)intermediate
  • ETL processes and data modelingintermediate
  • Agile project managementintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and stakeholder managementintermediate
  • Leadership and team collaborationintermediate
  • Regulatory awareness (GDPR, SOX)intermediate
  • Statistical analysisintermediate
  • Scripting for automationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred (experience)
  • 5+ years of experience in data analytics, data engineering, or solutions delivery within the financial services industry (experience)
  • Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Strong understanding of data governance, compliance, and regulatory requirements in banking (e.g., GDPR, Basel III) (experience)
  • Demonstrated ability to lead cross-functional teams in delivering analytics projects (experience)
  • Excellent problem-solving skills with a track record of optimizing data pipelines for financial applications (experience)

Preferred Qualifications

  • Advanced certification in data analytics (e.g., Google Data Analytics Professional Certificate or AWS Certified Data Analytics) (experience)
  • Experience in financial modeling, risk analytics, or fraud detection within a banking environment (experience)
  • Knowledge of machine learning frameworks like TensorFlow or scikit-learn applied to financial datasets (experience)
  • Prior work at a global financial institution with exposure to agile methodologies (experience)
  • Familiarity with JPMorgan Chase's internal tools and data platforms (experience)

Responsibilities

  • Design and implement scalable data analytics solutions to support business intelligence needs in investment banking and asset management
  • Collaborate with stakeholders across JPMorgan Chase to identify data requirements and translate them into actionable analytics deliverables
  • Develop and maintain data pipelines using ETL processes to ensure high-quality data for financial reporting and risk assessment
  • Lead the delivery of analytics projects, from inception to deployment, ensuring alignment with regulatory standards and internal policies
  • Perform advanced data analysis to uncover insights that drive strategic decisions in areas like market trends and customer behavior
  • Mentor junior analysts and oversee team performance to foster a culture of innovation in data solutions
  • Monitor and optimize data systems for performance, scalability, and security in a high-volume financial environment
  • Conduct regular reviews of analytics tools and recommend enhancements to improve efficiency in global operations
  • Ensure compliance with data privacy laws and JPMorgan's ethical standards in all analytics initiatives
  • Present findings and recommendations to senior leadership to influence business strategies

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 programs and tuition reimbursement for advanced certifications
  • general: Employee wellness initiatives, including gym memberships and mental health support
  • general: Stock purchase plan and employee stock ownership opportunities
  • general: Flexible work arrangements and hybrid office options in Hyderabad

Target Your Resume for "Assistant Vice President - Data Analytics Solutions" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Assistant Vice President - Data Analytics Solutions. Takes only 15 seconds!

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

Check Your ATS Score for "Assistant Vice President - Data Analytics Solutions" , 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

Analytics Solutions & DeliveryFinancial ServicesBankingJP MorganAnalytics Solutions & Delivery

Answer 10 quick questions to check your fit for Assistant Vice President - Data Analytics Solutions @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.