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Analytic Associate Vice President

JP Morgan Chase

Finance Jobs

Analytic Associate Vice President

full-timePosted: Nov 27, 2025

Job Description

Analytic Associate Vice President

Location: OH, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Firmwide Analytic Solutions team plays a pivotal role in harnessing data to drive business success. As an Analytic Associate Vice President in the Analytics Solutions & Delivery category, you will lead the development of cutting-edge analytic frameworks that support our global operations in investment banking, consumer banking, and asset management. Based in Columbus, OH, this role offers the opportunity to work on high-stakes projects that influence firmwide strategies, leveraging vast datasets to uncover insights on market trends, risk exposures, and customer behaviors. You will partner with cross-functional teams to deliver solutions that enhance decision-making, optimize operations, and ensure regulatory compliance in a dynamic financial landscape. In this position, you will spearhead the creation of scalable analytic models using advanced tools and methodologies, from predictive analytics for trading desks to real-time risk monitoring systems. Your expertise will be crucial in integrating disparate data sources across JP Morgan Chase's ecosystem, ensuring accuracy and efficiency in our analytic pipelines. You will also mentor emerging talent, contribute to thought leadership on industry best practices, and collaborate with senior executives to translate data-driven insights into strategic initiatives. This role demands a blend of technical prowess and business acumen, as you navigate complex challenges in a highly regulated environment while fostering innovation. Joining JP Morgan Chase means becoming part of a world-class institution committed to excellence and inclusion. We offer unparalleled opportunities for growth, with access to top-tier resources and a supportive culture that values diverse perspectives. If you are passionate about analytics in finance and ready to make an impact at one of the largest banks in the world, this Analytic Associate Vice President role is your chance to shape the future of our firmwide solutions.

Key Responsibilities

  • Lead the design and implementation of firmwide analytic solutions to support strategic decision-making across JP Morgan Chase's lines of business
  • Develop and maintain advanced data models and algorithms to analyze financial datasets, including market risk, credit risk, and operational metrics
  • Collaborate with stakeholders in Analytics Solutions & Delivery to deliver scalable, high-impact analytic platforms
  • Conduct data quality assessments and ensure compliance with regulatory standards such as Basel III and Dodd-Frank
  • Mentor junior analysts and associates, fostering a culture of innovation and excellence in quantitative analysis
  • Integrate machine learning techniques to enhance predictive analytics for trading, portfolio management, and client services
  • Monitor and optimize analytic pipelines for performance, scalability, and cost-efficiency in cloud environments
  • Present findings and recommendations to senior leadership, translating complex data insights into actionable business strategies
  • Stay abreast of emerging technologies and industry trends to drive continuous improvement in analytic capabilities
  • Support ad-hoc analytic projects related to firmwide initiatives, such as ESG analytics or digital transformation efforts

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Finance, or a related field; advanced degree preferred
  • 5+ years of experience in analytics, data modeling, or quantitative analysis within the financial services industry
  • Proficiency in SQL, Python, R, or similar programming languages for data manipulation and analysis
  • Strong understanding of financial data structures, risk modeling, and regulatory reporting requirements
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Demonstrated ability to work with cross-functional teams in a fast-paced environment
  • Excellent problem-solving skills and attention to detail

Preferred Qualifications

  • Master's degree or MBA in a quantitative field
  • Experience in developing analytic solutions for investment banking or asset management at a major financial institution
  • Familiarity with machine learning frameworks like TensorFlow or scikit-learn
  • Prior exposure to JP Morgan Chase's internal tools or similar enterprise systems
  • Certifications such as CFA, FRM, or AWS Certified Data Analytics

Required Skills

  • Advanced SQL querying and database management
  • Python or R programming for data analysis and scripting
  • Machine learning and statistical modeling
  • Data visualization tools like Tableau or Power BI
  • Big data processing with Hadoop, Spark, or Kafka
  • Financial modeling and risk assessment
  • Cloud computing platforms (AWS, Azure, GCP)
  • Agile methodologies and project management
  • Strong communication and presentation skills
  • Problem-solving and critical thinking
  • Attention to detail and analytical mindset
  • Team collaboration and leadership
  • Knowledge of regulatory compliance in finance
  • Time management in high-pressure environments
  • Adaptability to emerging technologies

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 programs, including tuition reimbursement and access to internal training
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.

Locations

  • OH, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 280,000 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 SQL querying and database managementintermediate
  • Python or R programming for data analysis and scriptingintermediate
  • Machine learning and statistical modelingintermediate
  • Data visualization tools like Tableau or Power BIintermediate
  • Big data processing with Hadoop, Spark, or Kafkaintermediate
  • Financial modeling and risk assessmentintermediate
  • Cloud computing platforms (AWS, Azure, GCP)intermediate
  • Agile methodologies and project managementintermediate
  • Strong communication and presentation skillsintermediate
  • Problem-solving and critical thinkingintermediate
  • Attention to detail and analytical mindsetintermediate
  • Team collaboration and leadershipintermediate
  • Knowledge of regulatory compliance in financeintermediate
  • Time management in high-pressure environmentsintermediate
  • Adaptability to emerging technologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Finance, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in analytics, data modeling, or quantitative analysis within the financial services industry (experience)
  • Proficiency in SQL, Python, R, or similar programming languages for data manipulation and analysis (experience)
  • Strong understanding of financial data structures, risk modeling, and regulatory reporting requirements (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Demonstrated ability to work with cross-functional teams in a fast-paced environment (experience)
  • Excellent problem-solving skills and attention to detail (experience)

Preferred Qualifications

  • Master's degree or MBA in a quantitative field (experience)
  • Experience in developing analytic solutions for investment banking or asset management at a major financial institution (experience)
  • Familiarity with machine learning frameworks like TensorFlow or scikit-learn (experience)
  • Prior exposure to JP Morgan Chase's internal tools or similar enterprise systems (experience)
  • Certifications such as CFA, FRM, or AWS Certified Data Analytics (experience)

Responsibilities

  • Lead the design and implementation of firmwide analytic solutions to support strategic decision-making across JP Morgan Chase's lines of business
  • Develop and maintain advanced data models and algorithms to analyze financial datasets, including market risk, credit risk, and operational metrics
  • Collaborate with stakeholders in Analytics Solutions & Delivery to deliver scalable, high-impact analytic platforms
  • Conduct data quality assessments and ensure compliance with regulatory standards such as Basel III and Dodd-Frank
  • Mentor junior analysts and associates, fostering a culture of innovation and excellence in quantitative analysis
  • Integrate machine learning techniques to enhance predictive analytics for trading, portfolio management, and client services
  • Monitor and optimize analytic pipelines for performance, scalability, and cost-efficiency in cloud environments
  • Present findings and recommendations to senior leadership, translating complex data insights into actionable business strategies
  • Stay abreast of emerging technologies and industry trends to drive continuous improvement in analytic capabilities
  • Support ad-hoc analytic projects related to firmwide initiatives, such as ESG analytics or digital transformation efforts

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 programs, including tuition reimbursement and access to internal training
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Columbus, OH

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JP Morgan Chase logo

Analytic Associate Vice President

JP Morgan Chase

Finance Jobs

Analytic Associate Vice President

full-timePosted: Nov 27, 2025

Job Description

Analytic Associate Vice President

Location: OH, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Firmwide Analytic Solutions team plays a pivotal role in harnessing data to drive business success. As an Analytic Associate Vice President in the Analytics Solutions & Delivery category, you will lead the development of cutting-edge analytic frameworks that support our global operations in investment banking, consumer banking, and asset management. Based in Columbus, OH, this role offers the opportunity to work on high-stakes projects that influence firmwide strategies, leveraging vast datasets to uncover insights on market trends, risk exposures, and customer behaviors. You will partner with cross-functional teams to deliver solutions that enhance decision-making, optimize operations, and ensure regulatory compliance in a dynamic financial landscape. In this position, you will spearhead the creation of scalable analytic models using advanced tools and methodologies, from predictive analytics for trading desks to real-time risk monitoring systems. Your expertise will be crucial in integrating disparate data sources across JP Morgan Chase's ecosystem, ensuring accuracy and efficiency in our analytic pipelines. You will also mentor emerging talent, contribute to thought leadership on industry best practices, and collaborate with senior executives to translate data-driven insights into strategic initiatives. This role demands a blend of technical prowess and business acumen, as you navigate complex challenges in a highly regulated environment while fostering innovation. Joining JP Morgan Chase means becoming part of a world-class institution committed to excellence and inclusion. We offer unparalleled opportunities for growth, with access to top-tier resources and a supportive culture that values diverse perspectives. If you are passionate about analytics in finance and ready to make an impact at one of the largest banks in the world, this Analytic Associate Vice President role is your chance to shape the future of our firmwide solutions.

Key Responsibilities

  • Lead the design and implementation of firmwide analytic solutions to support strategic decision-making across JP Morgan Chase's lines of business
  • Develop and maintain advanced data models and algorithms to analyze financial datasets, including market risk, credit risk, and operational metrics
  • Collaborate with stakeholders in Analytics Solutions & Delivery to deliver scalable, high-impact analytic platforms
  • Conduct data quality assessments and ensure compliance with regulatory standards such as Basel III and Dodd-Frank
  • Mentor junior analysts and associates, fostering a culture of innovation and excellence in quantitative analysis
  • Integrate machine learning techniques to enhance predictive analytics for trading, portfolio management, and client services
  • Monitor and optimize analytic pipelines for performance, scalability, and cost-efficiency in cloud environments
  • Present findings and recommendations to senior leadership, translating complex data insights into actionable business strategies
  • Stay abreast of emerging technologies and industry trends to drive continuous improvement in analytic capabilities
  • Support ad-hoc analytic projects related to firmwide initiatives, such as ESG analytics or digital transformation efforts

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Finance, or a related field; advanced degree preferred
  • 5+ years of experience in analytics, data modeling, or quantitative analysis within the financial services industry
  • Proficiency in SQL, Python, R, or similar programming languages for data manipulation and analysis
  • Strong understanding of financial data structures, risk modeling, and regulatory reporting requirements
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
  • Demonstrated ability to work with cross-functional teams in a fast-paced environment
  • Excellent problem-solving skills and attention to detail

Preferred Qualifications

  • Master's degree or MBA in a quantitative field
  • Experience in developing analytic solutions for investment banking or asset management at a major financial institution
  • Familiarity with machine learning frameworks like TensorFlow or scikit-learn
  • Prior exposure to JP Morgan Chase's internal tools or similar enterprise systems
  • Certifications such as CFA, FRM, or AWS Certified Data Analytics

Required Skills

  • Advanced SQL querying and database management
  • Python or R programming for data analysis and scripting
  • Machine learning and statistical modeling
  • Data visualization tools like Tableau or Power BI
  • Big data processing with Hadoop, Spark, or Kafka
  • Financial modeling and risk assessment
  • Cloud computing platforms (AWS, Azure, GCP)
  • Agile methodologies and project management
  • Strong communication and presentation skills
  • Problem-solving and critical thinking
  • Attention to detail and analytical mindset
  • Team collaboration and leadership
  • Knowledge of regulatory compliance in finance
  • Time management in high-pressure environments
  • Adaptability to emerging technologies

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 programs, including tuition reimbursement and access to internal training
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.

Locations

  • OH, US

Salary

Estimated Salary Rangehigh confidence

180,000 - 280,000 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 SQL querying and database managementintermediate
  • Python or R programming for data analysis and scriptingintermediate
  • Machine learning and statistical modelingintermediate
  • Data visualization tools like Tableau or Power BIintermediate
  • Big data processing with Hadoop, Spark, or Kafkaintermediate
  • Financial modeling and risk assessmentintermediate
  • Cloud computing platforms (AWS, Azure, GCP)intermediate
  • Agile methodologies and project managementintermediate
  • Strong communication and presentation skillsintermediate
  • Problem-solving and critical thinkingintermediate
  • Attention to detail and analytical mindsetintermediate
  • Team collaboration and leadershipintermediate
  • Knowledge of regulatory compliance in financeintermediate
  • Time management in high-pressure environmentsintermediate
  • Adaptability to emerging technologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Finance, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in analytics, data modeling, or quantitative analysis within the financial services industry (experience)
  • Proficiency in SQL, Python, R, or similar programming languages for data manipulation and analysis (experience)
  • Strong understanding of financial data structures, risk modeling, and regulatory reporting requirements (experience)
  • Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure (experience)
  • Demonstrated ability to work with cross-functional teams in a fast-paced environment (experience)
  • Excellent problem-solving skills and attention to detail (experience)

Preferred Qualifications

  • Master's degree or MBA in a quantitative field (experience)
  • Experience in developing analytic solutions for investment banking or asset management at a major financial institution (experience)
  • Familiarity with machine learning frameworks like TensorFlow or scikit-learn (experience)
  • Prior exposure to JP Morgan Chase's internal tools or similar enterprise systems (experience)
  • Certifications such as CFA, FRM, or AWS Certified Data Analytics (experience)

Responsibilities

  • Lead the design and implementation of firmwide analytic solutions to support strategic decision-making across JP Morgan Chase's lines of business
  • Develop and maintain advanced data models and algorithms to analyze financial datasets, including market risk, credit risk, and operational metrics
  • Collaborate with stakeholders in Analytics Solutions & Delivery to deliver scalable, high-impact analytic platforms
  • Conduct data quality assessments and ensure compliance with regulatory standards such as Basel III and Dodd-Frank
  • Mentor junior analysts and associates, fostering a culture of innovation and excellence in quantitative analysis
  • Integrate machine learning techniques to enhance predictive analytics for trading, portfolio management, and client services
  • Monitor and optimize analytic pipelines for performance, scalability, and cost-efficiency in cloud environments
  • Present findings and recommendations to senior leadership, translating complex data insights into actionable business strategies
  • Stay abreast of emerging technologies and industry trends to drive continuous improvement in analytic capabilities
  • Support ad-hoc analytic projects related to firmwide initiatives, such as ESG analytics or digital transformation efforts

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 programs, including tuition reimbursement and access to internal training
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Columbus, OH

Target Your Resume for "Analytic Associate Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Analytic Associate Vice President. Takes only 15 seconds!

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

Check Your ATS Score for "Analytic Associate 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

Analytics Solutions & DeliveryFinancial ServicesBankingJP MorganAnalytics Solutions & Delivery

Answer 10 quick questions to check your fit for Analytic Associate Vice President @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.