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2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions

JP Morgan Chase

Finance Jobs

2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions

full-timePosted: Oct 28, 2025

Job Description

2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions

Location: Chicago, IL, United States

Job Family: Data & Analytics Rotation

About the Role

Join the 2026 Focused Analytics Solutions Team (FAST) Full-Time Associate program at JP Morgan Chase, where you'll play a pivotal role in the Consumer and Community Bank Data and Analytics Team. This rotational position in Chicago, IL, is designed for recent graduates passionate about leveraging data to drive insights, gain a competitive edge, and solve intricate business queries in the dynamic financial services industry. As part of FAST, you'll rotate through various analytics-focused projects, gaining hands-on experience in consumer banking analytics, from transaction data analysis to customer behavior modeling, all while contributing to JP Morgan Chase's mission of empowering clients through innovative solutions. In this role, you'll collaborate with data scientists, business analysts, and banking experts to transform raw financial data into strategic recommendations. Expect to query vast datasets using SQL, build predictive models with Python, and create interactive visualizations in Tableau to uncover trends in areas like credit risk, fraud detection, and personalized banking services. Your work will directly impact JP Morgan Chase's ability to deliver superior customer experiences and maintain leadership in the competitive banking landscape, ensuring compliance with stringent regulatory standards such as those from the FDIC and OCC. The FAST program offers unparalleled professional growth, including mentorship from industry leaders, exposure to cutting-edge technologies, and opportunities to innovate within a supportive, inclusive culture. You'll thrive in a fast-paced environment that values curiosity, precision, and teamwork, ultimately positioning you for long-term success at one of the world's largest financial institutions. If you're ready to apply your analytical prowess to real-world financial challenges, this associate role is your gateway to a rewarding career at JP Morgan Chase.

Key Responsibilities

  • Develop and deploy analytics solutions to address key business challenges within the Consumer and Community Banking division
  • Collaborate with cross-functional teams to translate business requirements into data-driven insights
  • Analyze large-scale consumer financial datasets to identify trends and opportunities for competitive advantage
  • Build and maintain dashboards and reports using tools like Tableau to promote actionable insights
  • Support the FAST program's rotational structure by contributing to multiple analytics projects across teams
  • Leverage advanced analytics techniques, including predictive modeling, to solve complex queries
  • Ensure data integrity and compliance with JP Morgan Chase's risk and regulatory standards
  • Communicate findings and recommendations to senior stakeholders to drive strategic decisions
  • Participate in innovation initiatives to enhance data analytics capabilities in the financial services sector

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Strong analytical and problem-solving skills with the ability to handle complex datasets
  • Proficiency in SQL and at least one programming language such as Python or R
  • Experience with data visualization tools like Tableau or Power BI
  • Demonstrated ability to work collaboratively in team environments
  • Excellent communication skills to convey insights to non-technical stakeholders
  • Authorization to work in the United States without sponsorship

Preferred Qualifications

  • Prior internship or experience in financial services or banking analytics
  • Knowledge of machine learning concepts and frameworks like scikit-learn
  • Familiarity with big data technologies such as Hadoop or Spark
  • Experience in consumer banking data analysis or regulatory reporting
  • Advanced degree or coursework in data analytics or business intelligence

Required Skills

  • SQL querying and database management
  • Python or R programming for data analysis
  • Data visualization with Tableau or Power BI
  • Statistical analysis and modeling
  • Machine learning fundamentals
  • Big data tools like Hadoop or Spark
  • Problem-solving and critical thinking
  • Team collaboration and project management
  • Business acumen in financial services
  • Communication and presentation skills
  • Attention to detail and data accuracy
  • Regulatory compliance awareness
  • Agile methodologies
  • Excel advanced functions and pivot tables
  • Cloud platforms like AWS or Azure

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • 401(k) retirement savings plan with company matching contributions
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities through internal training and tuition reimbursement
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers and wellness initiatives at Chicago locations
  • Flexible work arrangements and hybrid work options where applicable

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, US

Salary

Estimated Salary Rangehigh confidence

120,000 - 160,000 USD / yearly

Source: ai estimated

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

Skills Required

  • SQL querying and database managementintermediate
  • Python or R programming for data analysisintermediate
  • Data visualization with Tableau or Power BIintermediate
  • Statistical analysis and modelingintermediate
  • Machine learning fundamentalsintermediate
  • Big data tools like Hadoop or Sparkintermediate
  • Problem-solving and critical thinkingintermediate
  • Team collaboration and project managementintermediate
  • Business acumen in financial servicesintermediate
  • Communication and presentation skillsintermediate
  • Attention to detail and data accuracyintermediate
  • Regulatory compliance awarenessintermediate
  • Agile methodologiesintermediate
  • Excel advanced functions and pivot tablesintermediate
  • Cloud platforms like AWS or Azureintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field (experience)
  • Strong analytical and problem-solving skills with the ability to handle complex datasets (experience)
  • Proficiency in SQL and at least one programming language such as Python or R (experience)
  • Experience with data visualization tools like Tableau or Power BI (experience)
  • Demonstrated ability to work collaboratively in team environments (experience)
  • Excellent communication skills to convey insights to non-technical stakeholders (experience)
  • Authorization to work in the United States without sponsorship (experience)

Preferred Qualifications

  • Prior internship or experience in financial services or banking analytics (experience)
  • Knowledge of machine learning concepts and frameworks like scikit-learn (experience)
  • Familiarity with big data technologies such as Hadoop or Spark (experience)
  • Experience in consumer banking data analysis or regulatory reporting (experience)
  • Advanced degree or coursework in data analytics or business intelligence (experience)

Responsibilities

  • Develop and deploy analytics solutions to address key business challenges within the Consumer and Community Banking division
  • Collaborate with cross-functional teams to translate business requirements into data-driven insights
  • Analyze large-scale consumer financial datasets to identify trends and opportunities for competitive advantage
  • Build and maintain dashboards and reports using tools like Tableau to promote actionable insights
  • Support the FAST program's rotational structure by contributing to multiple analytics projects across teams
  • Leverage advanced analytics techniques, including predictive modeling, to solve complex queries
  • Ensure data integrity and compliance with JP Morgan Chase's risk and regulatory standards
  • Communicate findings and recommendations to senior stakeholders to drive strategic decisions
  • Participate in innovation initiatives to enhance data analytics capabilities in the financial services sector

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: 401(k) retirement savings plan with company matching contributions
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities through internal training and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers and wellness initiatives at Chicago locations
  • general: Flexible work arrangements and hybrid work options where applicable

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JP Morgan Chase logo

2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions

JP Morgan Chase

Finance Jobs

2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions

full-timePosted: Oct 28, 2025

Job Description

2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions

Location: Chicago, IL, United States

Job Family: Data & Analytics Rotation

About the Role

Join the 2026 Focused Analytics Solutions Team (FAST) Full-Time Associate program at JP Morgan Chase, where you'll play a pivotal role in the Consumer and Community Bank Data and Analytics Team. This rotational position in Chicago, IL, is designed for recent graduates passionate about leveraging data to drive insights, gain a competitive edge, and solve intricate business queries in the dynamic financial services industry. As part of FAST, you'll rotate through various analytics-focused projects, gaining hands-on experience in consumer banking analytics, from transaction data analysis to customer behavior modeling, all while contributing to JP Morgan Chase's mission of empowering clients through innovative solutions. In this role, you'll collaborate with data scientists, business analysts, and banking experts to transform raw financial data into strategic recommendations. Expect to query vast datasets using SQL, build predictive models with Python, and create interactive visualizations in Tableau to uncover trends in areas like credit risk, fraud detection, and personalized banking services. Your work will directly impact JP Morgan Chase's ability to deliver superior customer experiences and maintain leadership in the competitive banking landscape, ensuring compliance with stringent regulatory standards such as those from the FDIC and OCC. The FAST program offers unparalleled professional growth, including mentorship from industry leaders, exposure to cutting-edge technologies, and opportunities to innovate within a supportive, inclusive culture. You'll thrive in a fast-paced environment that values curiosity, precision, and teamwork, ultimately positioning you for long-term success at one of the world's largest financial institutions. If you're ready to apply your analytical prowess to real-world financial challenges, this associate role is your gateway to a rewarding career at JP Morgan Chase.

Key Responsibilities

  • Develop and deploy analytics solutions to address key business challenges within the Consumer and Community Banking division
  • Collaborate with cross-functional teams to translate business requirements into data-driven insights
  • Analyze large-scale consumer financial datasets to identify trends and opportunities for competitive advantage
  • Build and maintain dashboards and reports using tools like Tableau to promote actionable insights
  • Support the FAST program's rotational structure by contributing to multiple analytics projects across teams
  • Leverage advanced analytics techniques, including predictive modeling, to solve complex queries
  • Ensure data integrity and compliance with JP Morgan Chase's risk and regulatory standards
  • Communicate findings and recommendations to senior stakeholders to drive strategic decisions
  • Participate in innovation initiatives to enhance data analytics capabilities in the financial services sector

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Strong analytical and problem-solving skills with the ability to handle complex datasets
  • Proficiency in SQL and at least one programming language such as Python or R
  • Experience with data visualization tools like Tableau or Power BI
  • Demonstrated ability to work collaboratively in team environments
  • Excellent communication skills to convey insights to non-technical stakeholders
  • Authorization to work in the United States without sponsorship

Preferred Qualifications

  • Prior internship or experience in financial services or banking analytics
  • Knowledge of machine learning concepts and frameworks like scikit-learn
  • Familiarity with big data technologies such as Hadoop or Spark
  • Experience in consumer banking data analysis or regulatory reporting
  • Advanced degree or coursework in data analytics or business intelligence

Required Skills

  • SQL querying and database management
  • Python or R programming for data analysis
  • Data visualization with Tableau or Power BI
  • Statistical analysis and modeling
  • Machine learning fundamentals
  • Big data tools like Hadoop or Spark
  • Problem-solving and critical thinking
  • Team collaboration and project management
  • Business acumen in financial services
  • Communication and presentation skills
  • Attention to detail and data accuracy
  • Regulatory compliance awareness
  • Agile methodologies
  • Excel advanced functions and pivot tables
  • Cloud platforms like AWS or Azure

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • 401(k) retirement savings plan with company matching contributions
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities through internal training and tuition reimbursement
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers and wellness initiatives at Chicago locations
  • Flexible work arrangements and hybrid work options where applicable

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, US

Salary

Estimated Salary Rangehigh confidence

120,000 - 160,000 USD / yearly

Source: ai estimated

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

Skills Required

  • SQL querying and database managementintermediate
  • Python or R programming for data analysisintermediate
  • Data visualization with Tableau or Power BIintermediate
  • Statistical analysis and modelingintermediate
  • Machine learning fundamentalsintermediate
  • Big data tools like Hadoop or Sparkintermediate
  • Problem-solving and critical thinkingintermediate
  • Team collaboration and project managementintermediate
  • Business acumen in financial servicesintermediate
  • Communication and presentation skillsintermediate
  • Attention to detail and data accuracyintermediate
  • Regulatory compliance awarenessintermediate
  • Agile methodologiesintermediate
  • Excel advanced functions and pivot tablesintermediate
  • Cloud platforms like AWS or Azureintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field (experience)
  • Strong analytical and problem-solving skills with the ability to handle complex datasets (experience)
  • Proficiency in SQL and at least one programming language such as Python or R (experience)
  • Experience with data visualization tools like Tableau or Power BI (experience)
  • Demonstrated ability to work collaboratively in team environments (experience)
  • Excellent communication skills to convey insights to non-technical stakeholders (experience)
  • Authorization to work in the United States without sponsorship (experience)

Preferred Qualifications

  • Prior internship or experience in financial services or banking analytics (experience)
  • Knowledge of machine learning concepts and frameworks like scikit-learn (experience)
  • Familiarity with big data technologies such as Hadoop or Spark (experience)
  • Experience in consumer banking data analysis or regulatory reporting (experience)
  • Advanced degree or coursework in data analytics or business intelligence (experience)

Responsibilities

  • Develop and deploy analytics solutions to address key business challenges within the Consumer and Community Banking division
  • Collaborate with cross-functional teams to translate business requirements into data-driven insights
  • Analyze large-scale consumer financial datasets to identify trends and opportunities for competitive advantage
  • Build and maintain dashboards and reports using tools like Tableau to promote actionable insights
  • Support the FAST program's rotational structure by contributing to multiple analytics projects across teams
  • Leverage advanced analytics techniques, including predictive modeling, to solve complex queries
  • Ensure data integrity and compliance with JP Morgan Chase's risk and regulatory standards
  • Communicate findings and recommendations to senior stakeholders to drive strategic decisions
  • Participate in innovation initiatives to enhance data analytics capabilities in the financial services sector

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: 401(k) retirement savings plan with company matching contributions
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities through internal training and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers and wellness initiatives at Chicago locations
  • general: Flexible work arrangements and hybrid work options where applicable

Target Your Resume for "2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for 2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions. Takes only 15 seconds!

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

Check Your ATS Score for "2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – 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

Data & Analytics RotationFinancial ServicesBankingJP MorganData & Analytics Rotation

Answer 10 quick questions to check your fit for 2026 Focused Analytics Solutions Team (FAST) Full-Time Associate – Analytics Solutions @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.