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CCB Quant Analytics Manager - Digital Products

JP Morgan Chase

Finance Jobs

CCB Quant Analytics Manager - Digital Products

full-timePosted: Sep 23, 2025

Job Description

CCB Quant Analytics Manager - Digital Products

Location: Jersey City, NJ, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of redefining digital banking for millions of customers through innovative Consumer & Community Banking (CCB) products. As a CCB Quant Analytics Manager - Digital Products, you will play a pivotal role in our Jersey City, NJ team, leading quantitative efforts to enhance our digital ecosystem. This position within the Quant Analytics category demands a blend of advanced analytical expertise and strategic leadership to drive data-informed decisions that elevate customer experiences in mobile banking, online platforms, and payment solutions. You will report to senior analytics leadership and collaborate across CCB to leverage cutting-edge techniques in machine learning and predictive modeling, ensuring our digital offerings remain competitive in the evolving financial services landscape. Your core responsibilities will include spearheading the development of sophisticated analytics models to analyze customer interactions, predict behaviors, and optimize digital product features. You will manage a team of talented quants, guiding them in building scalable solutions that address key challenges like personalization, fraud prevention, and engagement metrics. By integrating quantitative insights with business strategy, you will contribute to high-impact initiatives that support JP Morgan Chase's commitment to innovation and customer-centricity. This role requires a deep understanding of financial regulations and ethical data practices, ensuring all analytics align with our rigorous compliance standards while delivering measurable value to the organization. We seek a dynamic leader passionate about the intersection of finance and technology, with a proven track record in quantitative analytics within banking. In this role, you will have opportunities to influence JP Morgan's digital transformation, mentor emerging talent, and grow your career in a supportive environment that values diversity and inclusion. Join us to make a tangible difference in how the world banks digitally.

Key Responsibilities

  • Lead a team of quantitative analysts to develop and implement advanced analytics models for JP Morgan Chase's digital products, focusing on customer engagement and personalization
  • Design and execute data-driven strategies to optimize digital banking experiences, including fraud detection, recommendation engines, and user retention models
  • Collaborate with product managers, engineers, and risk teams to integrate analytics into digital platforms, ensuring alignment with business objectives and regulatory standards
  • Conduct in-depth statistical analysis of customer data to uncover insights that drive innovation in CCB (Consumer & Community Banking) digital offerings
  • Manage end-to-end analytics projects, from data collection and model building to deployment and performance monitoring
  • Mentor junior analysts and foster a culture of quantitative excellence within the team
  • Stay abreast of emerging trends in fintech, AI, and digital analytics to recommend enhancements to JP Morgan's digital ecosystem
  • Prepare executive-level reports and presentations on analytics outcomes, quantifying impact on key metrics like customer acquisition and revenue growth
  • Ensure data privacy and ethical AI practices in all analytics initiatives, complying with JP Morgan's governance frameworks

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred
  • 5+ years of experience in quantitative analytics, data science, or financial modeling within the banking or financial services industry
  • Proficiency in statistical modeling, machine learning, and predictive analytics applied to digital products and customer behavior
  • Strong programming skills in Python, R, SQL, and experience with big data tools like Hadoop or Spark
  • Demonstrated experience leading analytics teams and managing projects in a fast-paced financial environment
  • Knowledge of regulatory requirements in financial services, such as GDPR, CCPA, and banking compliance standards
  • Excellent communication skills with the ability to present complex quantitative insights to non-technical stakeholders

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Background in digital banking products, including mobile apps, online platforms, and payment systems
  • Certifications in data science (e.g., CFA, FRM) or machine learning (e.g., Google Data Analytics Professional)
  • Familiarity with A/B testing, experimentation frameworks, and digital metrics optimization
  • Prior leadership in cross-functional teams involving product, engineering, and risk management

Required Skills

  • Quantitative modeling and statistical analysis
  • Machine learning algorithms (e.g., regression, clustering, neural networks)
  • Programming in Python, R, and SQL
  • Big data technologies (Hadoop, Spark, AWS or Azure)
  • Data visualization tools (Tableau, Power BI)
  • Financial domain knowledge in banking and digital products
  • Project management and agile methodologies
  • Leadership and team management
  • Communication and stakeholder engagement
  • Problem-solving and critical thinking
  • Regulatory compliance awareness
  • A/B testing and experimentation design
  • Customer behavior analytics
  • Risk assessment in financial models
  • Ethical data handling and privacy principles

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 contributions
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • 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 Jersey City, NJ

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

200,000 - 350,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Quantitative modeling and statistical analysisintermediate
  • Machine learning algorithms (e.g., regression, clustering, neural networks)intermediate
  • Programming in Python, R, and SQLintermediate
  • Big data technologies (Hadoop, Spark, AWS or Azure)intermediate
  • Data visualization tools (Tableau, Power BI)intermediate
  • Financial domain knowledge in banking and digital productsintermediate
  • Project management and agile methodologiesintermediate
  • Leadership and team managementintermediate
  • Communication and stakeholder engagementintermediate
  • Problem-solving and critical thinkingintermediate
  • Regulatory compliance awarenessintermediate
  • A/B testing and experimentation designintermediate
  • Customer behavior analyticsintermediate
  • Risk assessment in financial modelsintermediate
  • Ethical data handling and privacy principlesintermediate

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred (experience)
  • 5+ years of experience in quantitative analytics, data science, or financial modeling within the banking or financial services industry (experience)
  • Proficiency in statistical modeling, machine learning, and predictive analytics applied to digital products and customer behavior (experience)
  • Strong programming skills in Python, R, SQL, and experience with big data tools like Hadoop or Spark (experience)
  • Demonstrated experience leading analytics teams and managing projects in a fast-paced financial environment (experience)
  • Knowledge of regulatory requirements in financial services, such as GDPR, CCPA, and banking compliance standards (experience)
  • Excellent communication skills with the ability to present complex quantitative insights to non-technical stakeholders (experience)

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Background in digital banking products, including mobile apps, online platforms, and payment systems (experience)
  • Certifications in data science (e.g., CFA, FRM) or machine learning (e.g., Google Data Analytics Professional) (experience)
  • Familiarity with A/B testing, experimentation frameworks, and digital metrics optimization (experience)
  • Prior leadership in cross-functional teams involving product, engineering, and risk management (experience)

Responsibilities

  • Lead a team of quantitative analysts to develop and implement advanced analytics models for JP Morgan Chase's digital products, focusing on customer engagement and personalization
  • Design and execute data-driven strategies to optimize digital banking experiences, including fraud detection, recommendation engines, and user retention models
  • Collaborate with product managers, engineers, and risk teams to integrate analytics into digital platforms, ensuring alignment with business objectives and regulatory standards
  • Conduct in-depth statistical analysis of customer data to uncover insights that drive innovation in CCB (Consumer & Community Banking) digital offerings
  • Manage end-to-end analytics projects, from data collection and model building to deployment and performance monitoring
  • Mentor junior analysts and foster a culture of quantitative excellence within the team
  • Stay abreast of emerging trends in fintech, AI, and digital analytics to recommend enhancements to JP Morgan's digital ecosystem
  • Prepare executive-level reports and presentations on analytics outcomes, quantifying impact on key metrics like customer acquisition and revenue growth
  • Ensure data privacy and ethical AI practices in all analytics initiatives, complying with JP Morgan's governance frameworks

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 contributions
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • 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 Jersey City, NJ

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JP Morgan Chase logo

CCB Quant Analytics Manager - Digital Products

JP Morgan Chase

Finance Jobs

CCB Quant Analytics Manager - Digital Products

full-timePosted: Sep 23, 2025

Job Description

CCB Quant Analytics Manager - Digital Products

Location: Jersey City, NJ, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of redefining digital banking for millions of customers through innovative Consumer & Community Banking (CCB) products. As a CCB Quant Analytics Manager - Digital Products, you will play a pivotal role in our Jersey City, NJ team, leading quantitative efforts to enhance our digital ecosystem. This position within the Quant Analytics category demands a blend of advanced analytical expertise and strategic leadership to drive data-informed decisions that elevate customer experiences in mobile banking, online platforms, and payment solutions. You will report to senior analytics leadership and collaborate across CCB to leverage cutting-edge techniques in machine learning and predictive modeling, ensuring our digital offerings remain competitive in the evolving financial services landscape. Your core responsibilities will include spearheading the development of sophisticated analytics models to analyze customer interactions, predict behaviors, and optimize digital product features. You will manage a team of talented quants, guiding them in building scalable solutions that address key challenges like personalization, fraud prevention, and engagement metrics. By integrating quantitative insights with business strategy, you will contribute to high-impact initiatives that support JP Morgan Chase's commitment to innovation and customer-centricity. This role requires a deep understanding of financial regulations and ethical data practices, ensuring all analytics align with our rigorous compliance standards while delivering measurable value to the organization. We seek a dynamic leader passionate about the intersection of finance and technology, with a proven track record in quantitative analytics within banking. In this role, you will have opportunities to influence JP Morgan's digital transformation, mentor emerging talent, and grow your career in a supportive environment that values diversity and inclusion. Join us to make a tangible difference in how the world banks digitally.

Key Responsibilities

  • Lead a team of quantitative analysts to develop and implement advanced analytics models for JP Morgan Chase's digital products, focusing on customer engagement and personalization
  • Design and execute data-driven strategies to optimize digital banking experiences, including fraud detection, recommendation engines, and user retention models
  • Collaborate with product managers, engineers, and risk teams to integrate analytics into digital platforms, ensuring alignment with business objectives and regulatory standards
  • Conduct in-depth statistical analysis of customer data to uncover insights that drive innovation in CCB (Consumer & Community Banking) digital offerings
  • Manage end-to-end analytics projects, from data collection and model building to deployment and performance monitoring
  • Mentor junior analysts and foster a culture of quantitative excellence within the team
  • Stay abreast of emerging trends in fintech, AI, and digital analytics to recommend enhancements to JP Morgan's digital ecosystem
  • Prepare executive-level reports and presentations on analytics outcomes, quantifying impact on key metrics like customer acquisition and revenue growth
  • Ensure data privacy and ethical AI practices in all analytics initiatives, complying with JP Morgan's governance frameworks

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred
  • 5+ years of experience in quantitative analytics, data science, or financial modeling within the banking or financial services industry
  • Proficiency in statistical modeling, machine learning, and predictive analytics applied to digital products and customer behavior
  • Strong programming skills in Python, R, SQL, and experience with big data tools like Hadoop or Spark
  • Demonstrated experience leading analytics teams and managing projects in a fast-paced financial environment
  • Knowledge of regulatory requirements in financial services, such as GDPR, CCPA, and banking compliance standards
  • Excellent communication skills with the ability to present complex quantitative insights to non-technical stakeholders

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Background in digital banking products, including mobile apps, online platforms, and payment systems
  • Certifications in data science (e.g., CFA, FRM) or machine learning (e.g., Google Data Analytics Professional)
  • Familiarity with A/B testing, experimentation frameworks, and digital metrics optimization
  • Prior leadership in cross-functional teams involving product, engineering, and risk management

Required Skills

  • Quantitative modeling and statistical analysis
  • Machine learning algorithms (e.g., regression, clustering, neural networks)
  • Programming in Python, R, and SQL
  • Big data technologies (Hadoop, Spark, AWS or Azure)
  • Data visualization tools (Tableau, Power BI)
  • Financial domain knowledge in banking and digital products
  • Project management and agile methodologies
  • Leadership and team management
  • Communication and stakeholder engagement
  • Problem-solving and critical thinking
  • Regulatory compliance awareness
  • A/B testing and experimentation design
  • Customer behavior analytics
  • Risk assessment in financial models
  • Ethical data handling and privacy principles

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 contributions
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • 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 Jersey City, NJ

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

200,000 - 350,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Quantitative modeling and statistical analysisintermediate
  • Machine learning algorithms (e.g., regression, clustering, neural networks)intermediate
  • Programming in Python, R, and SQLintermediate
  • Big data technologies (Hadoop, Spark, AWS or Azure)intermediate
  • Data visualization tools (Tableau, Power BI)intermediate
  • Financial domain knowledge in banking and digital productsintermediate
  • Project management and agile methodologiesintermediate
  • Leadership and team managementintermediate
  • Communication and stakeholder engagementintermediate
  • Problem-solving and critical thinkingintermediate
  • Regulatory compliance awarenessintermediate
  • A/B testing and experimentation designintermediate
  • Customer behavior analyticsintermediate
  • Risk assessment in financial modelsintermediate
  • Ethical data handling and privacy principlesintermediate

Required Qualifications

  • Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) preferred (experience)
  • 5+ years of experience in quantitative analytics, data science, or financial modeling within the banking or financial services industry (experience)
  • Proficiency in statistical modeling, machine learning, and predictive analytics applied to digital products and customer behavior (experience)
  • Strong programming skills in Python, R, SQL, and experience with big data tools like Hadoop or Spark (experience)
  • Demonstrated experience leading analytics teams and managing projects in a fast-paced financial environment (experience)
  • Knowledge of regulatory requirements in financial services, such as GDPR, CCPA, and banking compliance standards (experience)
  • Excellent communication skills with the ability to present complex quantitative insights to non-technical stakeholders (experience)

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Background in digital banking products, including mobile apps, online platforms, and payment systems (experience)
  • Certifications in data science (e.g., CFA, FRM) or machine learning (e.g., Google Data Analytics Professional) (experience)
  • Familiarity with A/B testing, experimentation frameworks, and digital metrics optimization (experience)
  • Prior leadership in cross-functional teams involving product, engineering, and risk management (experience)

Responsibilities

  • Lead a team of quantitative analysts to develop and implement advanced analytics models for JP Morgan Chase's digital products, focusing on customer engagement and personalization
  • Design and execute data-driven strategies to optimize digital banking experiences, including fraud detection, recommendation engines, and user retention models
  • Collaborate with product managers, engineers, and risk teams to integrate analytics into digital platforms, ensuring alignment with business objectives and regulatory standards
  • Conduct in-depth statistical analysis of customer data to uncover insights that drive innovation in CCB (Consumer & Community Banking) digital offerings
  • Manage end-to-end analytics projects, from data collection and model building to deployment and performance monitoring
  • Mentor junior analysts and foster a culture of quantitative excellence within the team
  • Stay abreast of emerging trends in fintech, AI, and digital analytics to recommend enhancements to JP Morgan's digital ecosystem
  • Prepare executive-level reports and presentations on analytics outcomes, quantifying impact on key metrics like customer acquisition and revenue growth
  • Ensure data privacy and ethical AI practices in all analytics initiatives, complying with JP Morgan's governance frameworks

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 contributions
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • 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 Jersey City, NJ

Target Your Resume for "CCB Quant Analytics Manager - Digital Products" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for CCB Quant Analytics Manager - Digital Products. Takes only 15 seconds!

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

Check Your ATS Score for "CCB Quant Analytics Manager - Digital Products" , 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 CCB Quant Analytics Manager - Digital Products @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.