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Strategic Analytics - Associate

JP Morgan Chase

Finance Jobs

Strategic Analytics - Associate

full-timePosted: Nov 26, 2025

Job Description

Strategic Analytics - Associate

Location: Columbus, OH, United States

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovative risk management and data-driven strategies. As a Strategic Analytics Associate in the Chase Auto division, you will play a pivotal role in supporting our auto lending portfolio by leveraging advanced analytics to optimize risk-based credit loss assessments. Based in Columbus, OH, this position within our Risk Analytics/Modeling team offers the opportunity to contribute to one of the largest consumer banking franchises in the world, where your work directly impacts millions of customers and drives sustainable business growth. You will collaborate with experts across risk, finance, and technology to develop models that enhance credit decisioning, mitigate losses, and ensure compliance with stringent regulatory frameworks like those from the Federal Reserve and OCC. Your day-to-day responsibilities will involve diving deep into complex datasets from Chase Auto's lending operations, applying statistical techniques to forecast credit losses, and refining strategies that balance risk and opportunity. You will build and validate predictive models using tools like Python, R, and SQL, while incorporating economic indicators and behavioral data to simulate various scenarios. This role demands a keen eye for detail in monitoring model performance and generating actionable insights through visualizations and reports, all while adhering to JPMorgan Chase's commitment to ethical analytics and data privacy. Opportunities for innovation abound, including the exploration of AI-driven enhancements to traditional risk models, positioning you at the intersection of finance and cutting-edge technology. Joining JPMorgan Chase means becoming part of a global leader that values diversity, inclusion, and professional growth. In this Associate-level role, you will have access to mentorship from seasoned risk professionals, ongoing training in emerging methodologies, and a collaborative culture that fosters bold ideas. If you are passionate about quantitative analysis in the financial services industry and eager to make a tangible impact on Chase Auto's risk optimization efforts, this position offers a dynamic platform to advance your career while contributing to our mission of powering the progress of individuals and communities worldwide.

Key Responsibilities

  • Analyze historical and real-time data to develop and refine risk-based credit loss assessment models for Chase Auto
  • Collaborate with cross-functional teams to optimize strategies for credit risk mitigation and portfolio performance
  • Perform statistical modeling and simulations to forecast potential credit losses under various economic scenarios
  • Monitor and validate model performance, ensuring compliance with internal policies and regulatory standards
  • Generate insights and recommendations to enhance decision-making in auto lending operations
  • Conduct ad-hoc analyses to support strategic initiatives in risk management and business growth
  • Develop dashboards and reports using advanced visualization tools to communicate key metrics to senior leadership
  • Stay abreast of industry trends, regulatory changes, and emerging technologies in risk analytics
  • Contribute to the documentation and peer review of analytical methodologies and models
  • Support the integration of AI and machine learning techniques to improve loss assessment accuracy

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field
  • Minimum of 3 years of experience in risk analytics, credit risk modeling, or data analysis within the financial services industry
  • Proficiency in statistical modeling and data analysis tools, with hands-on experience in predictive analytics
  • Strong understanding of credit risk assessment, loss forecasting, and regulatory requirements such as Basel III or CCAR
  • Experience working with large datasets and performing data manipulation for risk optimization
  • Ability to communicate complex analytical findings to non-technical stakeholders
  • U.S. work authorization without sponsorship required

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline
  • Experience in auto finance or consumer lending products at a major financial institution
  • Familiarity with JPMorgan Chase's risk management frameworks and tools
  • Certification in data analytics (e.g., SAS Certified Specialist) or risk management (e.g., FRM)
  • Prior exposure to machine learning applications in credit risk modeling

Required Skills

  • Proficiency in SQL for querying large financial datasets
  • Expertise in Python or R for statistical modeling and data analysis
  • Knowledge of SAS or similar tools for risk modeling in banking
  • Experience with machine learning libraries such as scikit-learn or TensorFlow
  • Strong analytical thinking and problem-solving abilities
  • Excellent communication skills for presenting data insights
  • Attention to detail in model validation and regulatory reporting
  • Proficiency in Excel and advanced data visualization tools like Tableau or Power BI
  • Understanding of econometric modeling and time-series analysis
  • Team collaboration and project management skills
  • Adaptability to fast-paced financial environments
  • Familiarity with big data technologies like Hadoop or Spark
  • Risk assessment and quantitative finance knowledge
  • Ethical judgment in handling sensitive financial data
  • Time management to meet deadlines in high-stakes projects

Benefits

  • Comprehensive medical, dental, and vision insurance plans with multiple coverage options
  • 401(k) retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick days, and parental leave
  • Professional development programs and tuition reimbursement for relevant certifications
  • Employee stock purchase plan and performance-based bonuses
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid options for eligible roles
  • Access to JPMorgan Chase's global mobility and career advancement opportunities

JP Morgan Chase is an equal opportunity employer.

Locations

  • Columbus, US

Salary

Estimated Salary Rangehigh confidence

95,000 - 145,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in SQL for querying large financial datasetsintermediate
  • Expertise in Python or R for statistical modeling and data analysisintermediate
  • Knowledge of SAS or similar tools for risk modeling in bankingintermediate
  • Experience with machine learning libraries such as scikit-learn or TensorFlowintermediate
  • Strong analytical thinking and problem-solving abilitiesintermediate
  • Excellent communication skills for presenting data insightsintermediate
  • Attention to detail in model validation and regulatory reportingintermediate
  • Proficiency in Excel and advanced data visualization tools like Tableau or Power BIintermediate
  • Understanding of econometric modeling and time-series analysisintermediate
  • Team collaboration and project management skillsintermediate
  • Adaptability to fast-paced financial environmentsintermediate
  • Familiarity with big data technologies like Hadoop or Sparkintermediate
  • Risk assessment and quantitative finance knowledgeintermediate
  • Ethical judgment in handling sensitive financial dataintermediate
  • Time management to meet deadlines in high-stakes projectsintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field (experience)
  • Minimum of 3 years of experience in risk analytics, credit risk modeling, or data analysis within the financial services industry (experience)
  • Proficiency in statistical modeling and data analysis tools, with hands-on experience in predictive analytics (experience)
  • Strong understanding of credit risk assessment, loss forecasting, and regulatory requirements such as Basel III or CCAR (experience)
  • Experience working with large datasets and performing data manipulation for risk optimization (experience)
  • Ability to communicate complex analytical findings to non-technical stakeholders (experience)
  • U.S. work authorization without sponsorship required (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline (experience)
  • Experience in auto finance or consumer lending products at a major financial institution (experience)
  • Familiarity with JPMorgan Chase's risk management frameworks and tools (experience)
  • Certification in data analytics (e.g., SAS Certified Specialist) or risk management (e.g., FRM) (experience)
  • Prior exposure to machine learning applications in credit risk modeling (experience)

Responsibilities

  • Analyze historical and real-time data to develop and refine risk-based credit loss assessment models for Chase Auto
  • Collaborate with cross-functional teams to optimize strategies for credit risk mitigation and portfolio performance
  • Perform statistical modeling and simulations to forecast potential credit losses under various economic scenarios
  • Monitor and validate model performance, ensuring compliance with internal policies and regulatory standards
  • Generate insights and recommendations to enhance decision-making in auto lending operations
  • Conduct ad-hoc analyses to support strategic initiatives in risk management and business growth
  • Develop dashboards and reports using advanced visualization tools to communicate key metrics to senior leadership
  • Stay abreast of industry trends, regulatory changes, and emerging technologies in risk analytics
  • Contribute to the documentation and peer review of analytical methodologies and models
  • Support the integration of AI and machine learning techniques to improve loss assessment accuracy

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans with multiple coverage options
  • 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 programs and tuition reimbursement for relevant certifications
  • general: Employee stock purchase plan and performance-based bonuses
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid options for eligible roles
  • general: Access to JPMorgan Chase's global mobility and career advancement opportunities

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JP Morgan Chase logo

Strategic Analytics - Associate

JP Morgan Chase

Finance Jobs

Strategic Analytics - Associate

full-timePosted: Nov 26, 2025

Job Description

Strategic Analytics - Associate

Location: Columbus, OH, United States

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovative risk management and data-driven strategies. As a Strategic Analytics Associate in the Chase Auto division, you will play a pivotal role in supporting our auto lending portfolio by leveraging advanced analytics to optimize risk-based credit loss assessments. Based in Columbus, OH, this position within our Risk Analytics/Modeling team offers the opportunity to contribute to one of the largest consumer banking franchises in the world, where your work directly impacts millions of customers and drives sustainable business growth. You will collaborate with experts across risk, finance, and technology to develop models that enhance credit decisioning, mitigate losses, and ensure compliance with stringent regulatory frameworks like those from the Federal Reserve and OCC. Your day-to-day responsibilities will involve diving deep into complex datasets from Chase Auto's lending operations, applying statistical techniques to forecast credit losses, and refining strategies that balance risk and opportunity. You will build and validate predictive models using tools like Python, R, and SQL, while incorporating economic indicators and behavioral data to simulate various scenarios. This role demands a keen eye for detail in monitoring model performance and generating actionable insights through visualizations and reports, all while adhering to JPMorgan Chase's commitment to ethical analytics and data privacy. Opportunities for innovation abound, including the exploration of AI-driven enhancements to traditional risk models, positioning you at the intersection of finance and cutting-edge technology. Joining JPMorgan Chase means becoming part of a global leader that values diversity, inclusion, and professional growth. In this Associate-level role, you will have access to mentorship from seasoned risk professionals, ongoing training in emerging methodologies, and a collaborative culture that fosters bold ideas. If you are passionate about quantitative analysis in the financial services industry and eager to make a tangible impact on Chase Auto's risk optimization efforts, this position offers a dynamic platform to advance your career while contributing to our mission of powering the progress of individuals and communities worldwide.

Key Responsibilities

  • Analyze historical and real-time data to develop and refine risk-based credit loss assessment models for Chase Auto
  • Collaborate with cross-functional teams to optimize strategies for credit risk mitigation and portfolio performance
  • Perform statistical modeling and simulations to forecast potential credit losses under various economic scenarios
  • Monitor and validate model performance, ensuring compliance with internal policies and regulatory standards
  • Generate insights and recommendations to enhance decision-making in auto lending operations
  • Conduct ad-hoc analyses to support strategic initiatives in risk management and business growth
  • Develop dashboards and reports using advanced visualization tools to communicate key metrics to senior leadership
  • Stay abreast of industry trends, regulatory changes, and emerging technologies in risk analytics
  • Contribute to the documentation and peer review of analytical methodologies and models
  • Support the integration of AI and machine learning techniques to improve loss assessment accuracy

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field
  • Minimum of 3 years of experience in risk analytics, credit risk modeling, or data analysis within the financial services industry
  • Proficiency in statistical modeling and data analysis tools, with hands-on experience in predictive analytics
  • Strong understanding of credit risk assessment, loss forecasting, and regulatory requirements such as Basel III or CCAR
  • Experience working with large datasets and performing data manipulation for risk optimization
  • Ability to communicate complex analytical findings to non-technical stakeholders
  • U.S. work authorization without sponsorship required

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline
  • Experience in auto finance or consumer lending products at a major financial institution
  • Familiarity with JPMorgan Chase's risk management frameworks and tools
  • Certification in data analytics (e.g., SAS Certified Specialist) or risk management (e.g., FRM)
  • Prior exposure to machine learning applications in credit risk modeling

Required Skills

  • Proficiency in SQL for querying large financial datasets
  • Expertise in Python or R for statistical modeling and data analysis
  • Knowledge of SAS or similar tools for risk modeling in banking
  • Experience with machine learning libraries such as scikit-learn or TensorFlow
  • Strong analytical thinking and problem-solving abilities
  • Excellent communication skills for presenting data insights
  • Attention to detail in model validation and regulatory reporting
  • Proficiency in Excel and advanced data visualization tools like Tableau or Power BI
  • Understanding of econometric modeling and time-series analysis
  • Team collaboration and project management skills
  • Adaptability to fast-paced financial environments
  • Familiarity with big data technologies like Hadoop or Spark
  • Risk assessment and quantitative finance knowledge
  • Ethical judgment in handling sensitive financial data
  • Time management to meet deadlines in high-stakes projects

Benefits

  • Comprehensive medical, dental, and vision insurance plans with multiple coverage options
  • 401(k) retirement savings plan with generous company matching contributions
  • Paid time off including vacation, sick days, and parental leave
  • Professional development programs and tuition reimbursement for relevant certifications
  • Employee stock purchase plan and performance-based bonuses
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid options for eligible roles
  • Access to JPMorgan Chase's global mobility and career advancement opportunities

JP Morgan Chase is an equal opportunity employer.

Locations

  • Columbus, US

Salary

Estimated Salary Rangehigh confidence

95,000 - 145,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Proficiency in SQL for querying large financial datasetsintermediate
  • Expertise in Python or R for statistical modeling and data analysisintermediate
  • Knowledge of SAS or similar tools for risk modeling in bankingintermediate
  • Experience with machine learning libraries such as scikit-learn or TensorFlowintermediate
  • Strong analytical thinking and problem-solving abilitiesintermediate
  • Excellent communication skills for presenting data insightsintermediate
  • Attention to detail in model validation and regulatory reportingintermediate
  • Proficiency in Excel and advanced data visualization tools like Tableau or Power BIintermediate
  • Understanding of econometric modeling and time-series analysisintermediate
  • Team collaboration and project management skillsintermediate
  • Adaptability to fast-paced financial environmentsintermediate
  • Familiarity with big data technologies like Hadoop or Sparkintermediate
  • Risk assessment and quantitative finance knowledgeintermediate
  • Ethical judgment in handling sensitive financial dataintermediate
  • Time management to meet deadlines in high-stakes projectsintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field (experience)
  • Minimum of 3 years of experience in risk analytics, credit risk modeling, or data analysis within the financial services industry (experience)
  • Proficiency in statistical modeling and data analysis tools, with hands-on experience in predictive analytics (experience)
  • Strong understanding of credit risk assessment, loss forecasting, and regulatory requirements such as Basel III or CCAR (experience)
  • Experience working with large datasets and performing data manipulation for risk optimization (experience)
  • Ability to communicate complex analytical findings to non-technical stakeholders (experience)
  • U.S. work authorization without sponsorship required (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline (experience)
  • Experience in auto finance or consumer lending products at a major financial institution (experience)
  • Familiarity with JPMorgan Chase's risk management frameworks and tools (experience)
  • Certification in data analytics (e.g., SAS Certified Specialist) or risk management (e.g., FRM) (experience)
  • Prior exposure to machine learning applications in credit risk modeling (experience)

Responsibilities

  • Analyze historical and real-time data to develop and refine risk-based credit loss assessment models for Chase Auto
  • Collaborate with cross-functional teams to optimize strategies for credit risk mitigation and portfolio performance
  • Perform statistical modeling and simulations to forecast potential credit losses under various economic scenarios
  • Monitor and validate model performance, ensuring compliance with internal policies and regulatory standards
  • Generate insights and recommendations to enhance decision-making in auto lending operations
  • Conduct ad-hoc analyses to support strategic initiatives in risk management and business growth
  • Develop dashboards and reports using advanced visualization tools to communicate key metrics to senior leadership
  • Stay abreast of industry trends, regulatory changes, and emerging technologies in risk analytics
  • Contribute to the documentation and peer review of analytical methodologies and models
  • Support the integration of AI and machine learning techniques to improve loss assessment accuracy

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans with multiple coverage options
  • 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 programs and tuition reimbursement for relevant certifications
  • general: Employee stock purchase plan and performance-based bonuses
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid options for eligible roles
  • general: Access to JPMorgan Chase's global mobility and career advancement opportunities

Target Your Resume for "Strategic Analytics - Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Strategic Analytics - Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Strategic 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

Risk Analytics/ModelingFinancial ServicesBankingJP MorganRisk Analytics/Modeling

Answer 10 quick questions to check your fit for Strategic Analytics - Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.