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Voice Product Analytics Team - Senior Quantitative Analytics Associate

JP Morgan Chase

Finance Jobs

Voice Product Analytics Team - Senior Quantitative Analytics Associate

full-timePosted: Nov 12, 2025

Job Description

Voice Product Analytics Team - Senior Quantitative Analytics Associate

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, uniting data and analytics talent across the firm to drive excellence in data science, reporting, quantitative analytics, and data governance. As a Senior Quantitative Analytics Associate in the Voice Product Analytics Team, you will play a pivotal role in enhancing our voice-enabled financial services within the Consumer & Community Banking division. Based in Wilmington, DE, this position offers the opportunity to leverage cutting-edge analytics to optimize customer interactions through voice technologies, contributing to personalized banking experiences while ensuring compliance with industry regulations. You will join a dynamic team dedicated to transforming raw data into strategic insights that power JP Morgan Chase's global operations and support sustainable growth in the financial services sector. In this role, you will develop sophisticated quantitative models to analyze voice product metrics, such as user engagement, transaction efficiency, and fraud prevention, using advanced statistical and machine learning techniques. Collaborating with cross-functional partners including product developers, data engineers, and risk management experts, you will uncover actionable patterns in vast datasets to inform product enhancements and business strategies. Your work will directly impact how millions of customers interact with our digital platforms, fostering trust and innovation in a highly regulated environment. Expect to engage in end-to-end analytics workflows, from data ingestion and cleaning to visualization and presentation of findings to senior leadership. We seek a proactive professional with a passion for quantitative finance and a track record of delivering high-impact analytics in fast-paced settings. At JP Morgan Chase, you will benefit from world-class resources, mentorship from industry leaders, and exposure to diverse challenges that shape the future of banking. This position not only offers professional growth but also the chance to contribute to initiatives that promote financial inclusion and technological advancement, all while thriving in a supportive culture that values work-life balance and continuous learning.

Key Responsibilities

  • Develop and maintain advanced quantitative models to analyze voice product performance and customer engagement metrics across JP Morgan Chase's digital platforms
  • Collaborate with data science and engineering teams to integrate analytics into voice-enabled financial services, enhancing user experience and operational efficiency
  • Conduct in-depth statistical analysis of large datasets to identify trends, anomalies, and opportunities for product optimization in areas like fraud detection and personalized banking
  • Generate actionable insights and reports for senior stakeholders, supporting strategic decisions in the Consumer & Community Banking division
  • Utilize machine learning algorithms to predict customer behavior and improve voice interaction outcomes in compliance with regulatory standards
  • Partner with cross-functional teams including product managers and compliance officers to ensure data governance and ethical AI practices
  • Monitor and evaluate key performance indicators (KPIs) for voice products, recommending data-driven enhancements to drive business growth
  • Contribute to the firm's broader data and analytics initiatives, spanning reporting, quantitative analytics, and governance
  • Stay abreast of emerging technologies in voice analytics and financial services, proposing innovative solutions to maintain JP Morgan Chase's competitive edge

Required Qualifications

  • Bachelor's degree in quantitative field such as Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred
  • Minimum of 3-5 years of experience in quantitative analytics, data science, or financial modeling within the financial services industry
  • Proficiency in statistical analysis and machine learning techniques applied to large-scale datasets
  • Strong programming skills in Python, R, or SQL for data manipulation and analysis
  • Experience with data visualization tools like Tableau or Power BI
  • Knowledge of financial products, risk management, and regulatory requirements in banking
  • Ability to work collaboratively in a fast-paced, cross-functional team environment

Preferred Qualifications

  • Master's or PhD in a quantitative discipline with a focus on financial analytics
  • Prior experience at a major financial institution like JP Morgan Chase, analyzing voice-enabled products or customer interaction data
  • Familiarity with AI/ML frameworks such as TensorFlow or scikit-learn for predictive modeling
  • Certifications in data analytics (e.g., CFA, FRM) or cloud platforms (e.g., AWS, Azure)
  • Experience with big data technologies like Hadoop or Spark in a financial context

Required Skills

  • Advanced statistical modeling and hypothesis testing
  • Machine learning and predictive analytics
  • Programming in Python, R, and SQL
  • Data visualization with Tableau or Power BI
  • Big data handling with Hadoop or Spark
  • Financial product knowledge and risk assessment
  • Regulatory compliance in financial services
  • Analytical problem-solving and critical thinking
  • Effective communication and stakeholder management
  • Team collaboration and project management
  • Attention to detail and data accuracy
  • Adaptability to emerging technologies
  • Ethical data handling and governance
  • Quantitative research methodologies
  • Business acumen in banking and fintech

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements and relocation assistance for eligible roles

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced statistical modeling and hypothesis testingintermediate
  • Machine learning and predictive analyticsintermediate
  • Programming in Python, R, and SQLintermediate
  • Data visualization with Tableau or Power BIintermediate
  • Big data handling with Hadoop or Sparkintermediate
  • Financial product knowledge and risk assessmentintermediate
  • Regulatory compliance in financial servicesintermediate
  • Analytical problem-solving and critical thinkingintermediate
  • Effective communication and stakeholder managementintermediate
  • Team collaboration and project managementintermediate
  • Attention to detail and data accuracyintermediate
  • Adaptability to emerging technologiesintermediate
  • Ethical data handling and governanceintermediate
  • Quantitative research methodologiesintermediate
  • Business acumen in banking and fintechintermediate

Required Qualifications

  • Bachelor's degree in quantitative field such as Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred (experience)
  • Minimum of 3-5 years of experience in quantitative analytics, data science, or financial modeling within the financial services industry (experience)
  • Proficiency in statistical analysis and machine learning techniques applied to large-scale datasets (experience)
  • Strong programming skills in Python, R, or SQL for data manipulation and analysis (experience)
  • Experience with data visualization tools like Tableau or Power BI (experience)
  • Knowledge of financial products, risk management, and regulatory requirements in banking (experience)
  • Ability to work collaboratively in a fast-paced, cross-functional team environment (experience)

Preferred Qualifications

  • Master's or PhD in a quantitative discipline with a focus on financial analytics (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, analyzing voice-enabled products or customer interaction data (experience)
  • Familiarity with AI/ML frameworks such as TensorFlow or scikit-learn for predictive modeling (experience)
  • Certifications in data analytics (e.g., CFA, FRM) or cloud platforms (e.g., AWS, Azure) (experience)
  • Experience with big data technologies like Hadoop or Spark in a financial context (experience)

Responsibilities

  • Develop and maintain advanced quantitative models to analyze voice product performance and customer engagement metrics across JP Morgan Chase's digital platforms
  • Collaborate with data science and engineering teams to integrate analytics into voice-enabled financial services, enhancing user experience and operational efficiency
  • Conduct in-depth statistical analysis of large datasets to identify trends, anomalies, and opportunities for product optimization in areas like fraud detection and personalized banking
  • Generate actionable insights and reports for senior stakeholders, supporting strategic decisions in the Consumer & Community Banking division
  • Utilize machine learning algorithms to predict customer behavior and improve voice interaction outcomes in compliance with regulatory standards
  • Partner with cross-functional teams including product managers and compliance officers to ensure data governance and ethical AI practices
  • Monitor and evaluate key performance indicators (KPIs) for voice products, recommending data-driven enhancements to drive business growth
  • Contribute to the firm's broader data and analytics initiatives, spanning reporting, quantitative analytics, and governance
  • Stay abreast of emerging technologies in voice analytics and financial services, proposing innovative solutions to maintain JP Morgan Chase's competitive edge

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements and relocation assistance for eligible roles

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JP Morgan Chase logo

Voice Product Analytics Team - Senior Quantitative Analytics Associate

JP Morgan Chase

Finance Jobs

Voice Product Analytics Team - Senior Quantitative Analytics Associate

full-timePosted: Nov 12, 2025

Job Description

Voice Product Analytics Team - Senior Quantitative Analytics Associate

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, uniting data and analytics talent across the firm to drive excellence in data science, reporting, quantitative analytics, and data governance. As a Senior Quantitative Analytics Associate in the Voice Product Analytics Team, you will play a pivotal role in enhancing our voice-enabled financial services within the Consumer & Community Banking division. Based in Wilmington, DE, this position offers the opportunity to leverage cutting-edge analytics to optimize customer interactions through voice technologies, contributing to personalized banking experiences while ensuring compliance with industry regulations. You will join a dynamic team dedicated to transforming raw data into strategic insights that power JP Morgan Chase's global operations and support sustainable growth in the financial services sector. In this role, you will develop sophisticated quantitative models to analyze voice product metrics, such as user engagement, transaction efficiency, and fraud prevention, using advanced statistical and machine learning techniques. Collaborating with cross-functional partners including product developers, data engineers, and risk management experts, you will uncover actionable patterns in vast datasets to inform product enhancements and business strategies. Your work will directly impact how millions of customers interact with our digital platforms, fostering trust and innovation in a highly regulated environment. Expect to engage in end-to-end analytics workflows, from data ingestion and cleaning to visualization and presentation of findings to senior leadership. We seek a proactive professional with a passion for quantitative finance and a track record of delivering high-impact analytics in fast-paced settings. At JP Morgan Chase, you will benefit from world-class resources, mentorship from industry leaders, and exposure to diverse challenges that shape the future of banking. This position not only offers professional growth but also the chance to contribute to initiatives that promote financial inclusion and technological advancement, all while thriving in a supportive culture that values work-life balance and continuous learning.

Key Responsibilities

  • Develop and maintain advanced quantitative models to analyze voice product performance and customer engagement metrics across JP Morgan Chase's digital platforms
  • Collaborate with data science and engineering teams to integrate analytics into voice-enabled financial services, enhancing user experience and operational efficiency
  • Conduct in-depth statistical analysis of large datasets to identify trends, anomalies, and opportunities for product optimization in areas like fraud detection and personalized banking
  • Generate actionable insights and reports for senior stakeholders, supporting strategic decisions in the Consumer & Community Banking division
  • Utilize machine learning algorithms to predict customer behavior and improve voice interaction outcomes in compliance with regulatory standards
  • Partner with cross-functional teams including product managers and compliance officers to ensure data governance and ethical AI practices
  • Monitor and evaluate key performance indicators (KPIs) for voice products, recommending data-driven enhancements to drive business growth
  • Contribute to the firm's broader data and analytics initiatives, spanning reporting, quantitative analytics, and governance
  • Stay abreast of emerging technologies in voice analytics and financial services, proposing innovative solutions to maintain JP Morgan Chase's competitive edge

Required Qualifications

  • Bachelor's degree in quantitative field such as Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred
  • Minimum of 3-5 years of experience in quantitative analytics, data science, or financial modeling within the financial services industry
  • Proficiency in statistical analysis and machine learning techniques applied to large-scale datasets
  • Strong programming skills in Python, R, or SQL for data manipulation and analysis
  • Experience with data visualization tools like Tableau or Power BI
  • Knowledge of financial products, risk management, and regulatory requirements in banking
  • Ability to work collaboratively in a fast-paced, cross-functional team environment

Preferred Qualifications

  • Master's or PhD in a quantitative discipline with a focus on financial analytics
  • Prior experience at a major financial institution like JP Morgan Chase, analyzing voice-enabled products or customer interaction data
  • Familiarity with AI/ML frameworks such as TensorFlow or scikit-learn for predictive modeling
  • Certifications in data analytics (e.g., CFA, FRM) or cloud platforms (e.g., AWS, Azure)
  • Experience with big data technologies like Hadoop or Spark in a financial context

Required Skills

  • Advanced statistical modeling and hypothesis testing
  • Machine learning and predictive analytics
  • Programming in Python, R, and SQL
  • Data visualization with Tableau or Power BI
  • Big data handling with Hadoop or Spark
  • Financial product knowledge and risk assessment
  • Regulatory compliance in financial services
  • Analytical problem-solving and critical thinking
  • Effective communication and stakeholder management
  • Team collaboration and project management
  • Attention to detail and data accuracy
  • Adaptability to emerging technologies
  • Ethical data handling and governance
  • Quantitative research methodologies
  • Business acumen in banking and fintech

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements and relocation assistance for eligible roles

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Advanced statistical modeling and hypothesis testingintermediate
  • Machine learning and predictive analyticsintermediate
  • Programming in Python, R, and SQLintermediate
  • Data visualization with Tableau or Power BIintermediate
  • Big data handling with Hadoop or Sparkintermediate
  • Financial product knowledge and risk assessmentintermediate
  • Regulatory compliance in financial servicesintermediate
  • Analytical problem-solving and critical thinkingintermediate
  • Effective communication and stakeholder managementintermediate
  • Team collaboration and project managementintermediate
  • Attention to detail and data accuracyintermediate
  • Adaptability to emerging technologiesintermediate
  • Ethical data handling and governanceintermediate
  • Quantitative research methodologiesintermediate
  • Business acumen in banking and fintechintermediate

Required Qualifications

  • Bachelor's degree in quantitative field such as Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred (experience)
  • Minimum of 3-5 years of experience in quantitative analytics, data science, or financial modeling within the financial services industry (experience)
  • Proficiency in statistical analysis and machine learning techniques applied to large-scale datasets (experience)
  • Strong programming skills in Python, R, or SQL for data manipulation and analysis (experience)
  • Experience with data visualization tools like Tableau or Power BI (experience)
  • Knowledge of financial products, risk management, and regulatory requirements in banking (experience)
  • Ability to work collaboratively in a fast-paced, cross-functional team environment (experience)

Preferred Qualifications

  • Master's or PhD in a quantitative discipline with a focus on financial analytics (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, analyzing voice-enabled products or customer interaction data (experience)
  • Familiarity with AI/ML frameworks such as TensorFlow or scikit-learn for predictive modeling (experience)
  • Certifications in data analytics (e.g., CFA, FRM) or cloud platforms (e.g., AWS, Azure) (experience)
  • Experience with big data technologies like Hadoop or Spark in a financial context (experience)

Responsibilities

  • Develop and maintain advanced quantitative models to analyze voice product performance and customer engagement metrics across JP Morgan Chase's digital platforms
  • Collaborate with data science and engineering teams to integrate analytics into voice-enabled financial services, enhancing user experience and operational efficiency
  • Conduct in-depth statistical analysis of large datasets to identify trends, anomalies, and opportunities for product optimization in areas like fraud detection and personalized banking
  • Generate actionable insights and reports for senior stakeholders, supporting strategic decisions in the Consumer & Community Banking division
  • Utilize machine learning algorithms to predict customer behavior and improve voice interaction outcomes in compliance with regulatory standards
  • Partner with cross-functional teams including product managers and compliance officers to ensure data governance and ethical AI practices
  • Monitor and evaluate key performance indicators (KPIs) for voice products, recommending data-driven enhancements to drive business growth
  • Contribute to the firm's broader data and analytics initiatives, spanning reporting, quantitative analytics, and governance
  • Stay abreast of emerging technologies in voice analytics and financial services, proposing innovative solutions to maintain JP Morgan Chase's competitive edge

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements and relocation assistance for eligible roles

Target Your Resume for "Voice Product Analytics Team - Senior Quantitative Analytics Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Voice Product Analytics Team - Senior Quantitative Analytics Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Voice Product Analytics Team - Senior Quantitative Analytics Associate" , 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

Quant AnalyticsFinancial ServicesBankingJP MorganQuant Analytics

Answer 10 quick questions to check your fit for Voice Product Analytics Team - Senior Quantitative Analytics Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.