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Data Analytics Solutions Senior Associate

JP Morgan Chase

Software and Technology Jobs

Data Analytics Solutions Senior Associate

full-timePosted: Nov 20, 2025

Job Description

Data Analytics Solutions Senior Associate

Location: Chicago, IL, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Commercial & Investment Bank Analytics team is pivotal in leveraging data and AI to transform business operations. As a Data Analytics Solutions Senior Associate based in Chicago, IL, you will join a dynamic group dedicated to identifying and implementing cutting-edge solutions that generate actionable insights. This role is ideal for a seasoned professional passionate about applying data science and artificial intelligence to uncover operational efficiencies, mitigate risks, and drive superior business performance in the fast-evolving landscape of commercial and investment banking. You will work closely with cross-functional teams to bridge the gap between complex financial data and strategic decision-making, contributing to JP Morgan's commitment to excellence in global financial services. In this position, your primary focus will be on developing and deploying AI-driven analytics solutions that address key challenges in areas such as trade finance, market risk analysis, and client portfolio optimization. You will analyze vast datasets from JP Morgan's proprietary systems to identify patterns and anomalies, then translate these findings into practical recommendations that enhance efficiency and profitability. Collaborating with business leaders, you will design scalable models using advanced tools, ensuring they align with the firm's rigorous standards for data security, regulatory compliance (e.g., Dodd-Frank, GDPR), and ethical AI practices. This hands-on role offers the opportunity to innovate within a supportive environment, where your expertise directly impacts the success of one of the world's leading financial institutions. JP Morgan Chase values diversity and inclusion, fostering a culture where innovative thinking thrives. As a Senior Associate, you will have access to world-class resources, including mentorship from industry experts and participation in high-impact projects that shape the future of banking. This position not only challenges you to push the boundaries of data analytics but also provides a platform for career growth in a prestigious organization renowned for its stability and global reach. If you are ready to apply your skills to real-world financial challenges and contribute to meaningful outcomes, join us in Chicago to help redefine what's possible in analytics for the Commercial & Investment Bank.

Key Responsibilities

  • Collaborate with the Commercial & Investment Bank Analytics team to identify data-driven solutions using AI and advanced analytics
  • Develop and implement AI models to generate actionable insights that enhance operational efficiency and business performance
  • Analyze complex datasets from financial operations to uncover trends and opportunities for improvement
  • Partner with business units to translate operational challenges into data analytics requirements
  • Design and deliver scalable analytics solutions, including dashboards and predictive models, tailored to investment banking needs
  • Ensure all analytics initiatives comply with JP Morgan Chase's risk management and regulatory standards
  • Monitor and optimize AI solutions to support real-time decision-making in commercial and investment activities
  • Conduct stakeholder presentations to communicate insights and recommend data-driven strategies
  • Stay abreast of emerging AI technologies and integrate them into JP Morgan's analytics framework
  • Mentor junior team members on best practices in data analytics within the financial services context

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; advanced degree preferred
  • 5+ years of experience in data analytics, AI implementation, or solutions delivery within financial services or a similar industry
  • Proven track record of using data and AI to drive operational insights and business efficiency
  • Strong understanding of financial markets, commercial banking, and investment banking operations
  • Experience with data visualization tools and analytics platforms in a high-stakes environment
  • Ability to collaborate with cross-functional teams including business stakeholders and technology groups
  • Familiarity with regulatory requirements in the financial sector, such as data privacy and compliance standards

Preferred Qualifications

  • Master's degree in Data Analytics, Machine Learning, or a quantitative field
  • Experience in the Commercial & Investment Bank sector at a major financial institution
  • Certification in AI/ML frameworks or data analytics (e.g., AWS Certified Machine Learning, Google Data Analytics)
  • Prior work with big data technologies in a cloud-based environment
  • Demonstrated leadership in analytics projects impacting business performance metrics

Required Skills

  • Proficiency in Python or R for data analysis and AI model development
  • Experience with machine learning frameworks like TensorFlow or PyTorch
  • SQL expertise for querying large financial datasets
  • Data visualization tools such as Tableau or Power BI
  • Knowledge of big data technologies including Hadoop, Spark, or cloud platforms like AWS or Azure
  • Strong analytical and problem-solving skills in a quantitative environment
  • Excellent communication skills for presenting insights to non-technical stakeholders
  • Project management abilities to deliver analytics solutions on time
  • Understanding of financial modeling and risk assessment techniques
  • Agile methodologies for collaborative solution delivery
  • Familiarity with AI ethics and bias mitigation in financial applications
  • Statistical analysis and predictive modeling expertise
  • Cross-functional collaboration and stakeholder management
  • Adaptability to fast-paced, regulated financial services settings
  • Attention to detail in data governance and compliance

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 other financial wellness benefits
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid office options in Chicago

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, US

Salary

Estimated Salary Rangehigh confidence

120,000 - 180,000 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 Python or R for data analysis and AI model developmentintermediate
  • Experience with machine learning frameworks like TensorFlow or PyTorchintermediate
  • SQL expertise for querying large financial datasetsintermediate
  • Data visualization tools such as Tableau or Power BIintermediate
  • Knowledge of big data technologies including Hadoop, Spark, or cloud platforms like AWS or Azureintermediate
  • Strong analytical and problem-solving skills in a quantitative environmentintermediate
  • Excellent communication skills for presenting insights to non-technical stakeholdersintermediate
  • Project management abilities to deliver analytics solutions on timeintermediate
  • Understanding of financial modeling and risk assessment techniquesintermediate
  • Agile methodologies for collaborative solution deliveryintermediate
  • Familiarity with AI ethics and bias mitigation in financial applicationsintermediate
  • Statistical analysis and predictive modeling expertiseintermediate
  • Cross-functional collaboration and stakeholder managementintermediate
  • Adaptability to fast-paced, regulated financial services settingsintermediate
  • Attention to detail in data governance and complianceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in data analytics, AI implementation, or solutions delivery within financial services or a similar industry (experience)
  • Proven track record of using data and AI to drive operational insights and business efficiency (experience)
  • Strong understanding of financial markets, commercial banking, and investment banking operations (experience)
  • Experience with data visualization tools and analytics platforms in a high-stakes environment (experience)
  • Ability to collaborate with cross-functional teams including business stakeholders and technology groups (experience)
  • Familiarity with regulatory requirements in the financial sector, such as data privacy and compliance standards (experience)

Preferred Qualifications

  • Master's degree in Data Analytics, Machine Learning, or a quantitative field (experience)
  • Experience in the Commercial & Investment Bank sector at a major financial institution (experience)
  • Certification in AI/ML frameworks or data analytics (e.g., AWS Certified Machine Learning, Google Data Analytics) (experience)
  • Prior work with big data technologies in a cloud-based environment (experience)
  • Demonstrated leadership in analytics projects impacting business performance metrics (experience)

Responsibilities

  • Collaborate with the Commercial & Investment Bank Analytics team to identify data-driven solutions using AI and advanced analytics
  • Develop and implement AI models to generate actionable insights that enhance operational efficiency and business performance
  • Analyze complex datasets from financial operations to uncover trends and opportunities for improvement
  • Partner with business units to translate operational challenges into data analytics requirements
  • Design and deliver scalable analytics solutions, including dashboards and predictive models, tailored to investment banking needs
  • Ensure all analytics initiatives comply with JP Morgan Chase's risk management and regulatory standards
  • Monitor and optimize AI solutions to support real-time decision-making in commercial and investment activities
  • Conduct stakeholder presentations to communicate insights and recommend data-driven strategies
  • Stay abreast of emerging AI technologies and integrate them into JP Morgan's analytics framework
  • Mentor junior team members on best practices in data analytics within the financial services context

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 other financial wellness benefits
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid office options in Chicago

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JP Morgan Chase logo

Data Analytics Solutions Senior Associate

JP Morgan Chase

Software and Technology Jobs

Data Analytics Solutions Senior Associate

full-timePosted: Nov 20, 2025

Job Description

Data Analytics Solutions Senior Associate

Location: Chicago, IL, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Commercial & Investment Bank Analytics team is pivotal in leveraging data and AI to transform business operations. As a Data Analytics Solutions Senior Associate based in Chicago, IL, you will join a dynamic group dedicated to identifying and implementing cutting-edge solutions that generate actionable insights. This role is ideal for a seasoned professional passionate about applying data science and artificial intelligence to uncover operational efficiencies, mitigate risks, and drive superior business performance in the fast-evolving landscape of commercial and investment banking. You will work closely with cross-functional teams to bridge the gap between complex financial data and strategic decision-making, contributing to JP Morgan's commitment to excellence in global financial services. In this position, your primary focus will be on developing and deploying AI-driven analytics solutions that address key challenges in areas such as trade finance, market risk analysis, and client portfolio optimization. You will analyze vast datasets from JP Morgan's proprietary systems to identify patterns and anomalies, then translate these findings into practical recommendations that enhance efficiency and profitability. Collaborating with business leaders, you will design scalable models using advanced tools, ensuring they align with the firm's rigorous standards for data security, regulatory compliance (e.g., Dodd-Frank, GDPR), and ethical AI practices. This hands-on role offers the opportunity to innovate within a supportive environment, where your expertise directly impacts the success of one of the world's leading financial institutions. JP Morgan Chase values diversity and inclusion, fostering a culture where innovative thinking thrives. As a Senior Associate, you will have access to world-class resources, including mentorship from industry experts and participation in high-impact projects that shape the future of banking. This position not only challenges you to push the boundaries of data analytics but also provides a platform for career growth in a prestigious organization renowned for its stability and global reach. If you are ready to apply your skills to real-world financial challenges and contribute to meaningful outcomes, join us in Chicago to help redefine what's possible in analytics for the Commercial & Investment Bank.

Key Responsibilities

  • Collaborate with the Commercial & Investment Bank Analytics team to identify data-driven solutions using AI and advanced analytics
  • Develop and implement AI models to generate actionable insights that enhance operational efficiency and business performance
  • Analyze complex datasets from financial operations to uncover trends and opportunities for improvement
  • Partner with business units to translate operational challenges into data analytics requirements
  • Design and deliver scalable analytics solutions, including dashboards and predictive models, tailored to investment banking needs
  • Ensure all analytics initiatives comply with JP Morgan Chase's risk management and regulatory standards
  • Monitor and optimize AI solutions to support real-time decision-making in commercial and investment activities
  • Conduct stakeholder presentations to communicate insights and recommend data-driven strategies
  • Stay abreast of emerging AI technologies and integrate them into JP Morgan's analytics framework
  • Mentor junior team members on best practices in data analytics within the financial services context

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; advanced degree preferred
  • 5+ years of experience in data analytics, AI implementation, or solutions delivery within financial services or a similar industry
  • Proven track record of using data and AI to drive operational insights and business efficiency
  • Strong understanding of financial markets, commercial banking, and investment banking operations
  • Experience with data visualization tools and analytics platforms in a high-stakes environment
  • Ability to collaborate with cross-functional teams including business stakeholders and technology groups
  • Familiarity with regulatory requirements in the financial sector, such as data privacy and compliance standards

Preferred Qualifications

  • Master's degree in Data Analytics, Machine Learning, or a quantitative field
  • Experience in the Commercial & Investment Bank sector at a major financial institution
  • Certification in AI/ML frameworks or data analytics (e.g., AWS Certified Machine Learning, Google Data Analytics)
  • Prior work with big data technologies in a cloud-based environment
  • Demonstrated leadership in analytics projects impacting business performance metrics

Required Skills

  • Proficiency in Python or R for data analysis and AI model development
  • Experience with machine learning frameworks like TensorFlow or PyTorch
  • SQL expertise for querying large financial datasets
  • Data visualization tools such as Tableau or Power BI
  • Knowledge of big data technologies including Hadoop, Spark, or cloud platforms like AWS or Azure
  • Strong analytical and problem-solving skills in a quantitative environment
  • Excellent communication skills for presenting insights to non-technical stakeholders
  • Project management abilities to deliver analytics solutions on time
  • Understanding of financial modeling and risk assessment techniques
  • Agile methodologies for collaborative solution delivery
  • Familiarity with AI ethics and bias mitigation in financial applications
  • Statistical analysis and predictive modeling expertise
  • Cross-functional collaboration and stakeholder management
  • Adaptability to fast-paced, regulated financial services settings
  • Attention to detail in data governance and compliance

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 other financial wellness benefits
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid office options in Chicago

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, US

Salary

Estimated Salary Rangehigh confidence

120,000 - 180,000 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 Python or R for data analysis and AI model developmentintermediate
  • Experience with machine learning frameworks like TensorFlow or PyTorchintermediate
  • SQL expertise for querying large financial datasetsintermediate
  • Data visualization tools such as Tableau or Power BIintermediate
  • Knowledge of big data technologies including Hadoop, Spark, or cloud platforms like AWS or Azureintermediate
  • Strong analytical and problem-solving skills in a quantitative environmentintermediate
  • Excellent communication skills for presenting insights to non-technical stakeholdersintermediate
  • Project management abilities to deliver analytics solutions on timeintermediate
  • Understanding of financial modeling and risk assessment techniquesintermediate
  • Agile methodologies for collaborative solution deliveryintermediate
  • Familiarity with AI ethics and bias mitigation in financial applicationsintermediate
  • Statistical analysis and predictive modeling expertiseintermediate
  • Cross-functional collaboration and stakeholder managementintermediate
  • Adaptability to fast-paced, regulated financial services settingsintermediate
  • Attention to detail in data governance and complianceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in data analytics, AI implementation, or solutions delivery within financial services or a similar industry (experience)
  • Proven track record of using data and AI to drive operational insights and business efficiency (experience)
  • Strong understanding of financial markets, commercial banking, and investment banking operations (experience)
  • Experience with data visualization tools and analytics platforms in a high-stakes environment (experience)
  • Ability to collaborate with cross-functional teams including business stakeholders and technology groups (experience)
  • Familiarity with regulatory requirements in the financial sector, such as data privacy and compliance standards (experience)

Preferred Qualifications

  • Master's degree in Data Analytics, Machine Learning, or a quantitative field (experience)
  • Experience in the Commercial & Investment Bank sector at a major financial institution (experience)
  • Certification in AI/ML frameworks or data analytics (e.g., AWS Certified Machine Learning, Google Data Analytics) (experience)
  • Prior work with big data technologies in a cloud-based environment (experience)
  • Demonstrated leadership in analytics projects impacting business performance metrics (experience)

Responsibilities

  • Collaborate with the Commercial & Investment Bank Analytics team to identify data-driven solutions using AI and advanced analytics
  • Develop and implement AI models to generate actionable insights that enhance operational efficiency and business performance
  • Analyze complex datasets from financial operations to uncover trends and opportunities for improvement
  • Partner with business units to translate operational challenges into data analytics requirements
  • Design and deliver scalable analytics solutions, including dashboards and predictive models, tailored to investment banking needs
  • Ensure all analytics initiatives comply with JP Morgan Chase's risk management and regulatory standards
  • Monitor and optimize AI solutions to support real-time decision-making in commercial and investment activities
  • Conduct stakeholder presentations to communicate insights and recommend data-driven strategies
  • Stay abreast of emerging AI technologies and integrate them into JP Morgan's analytics framework
  • Mentor junior team members on best practices in data analytics within the financial services context

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 other financial wellness benefits
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid office options in Chicago

Target Your Resume for "Data Analytics Solutions Senior Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Data Analytics Solutions Senior Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Data Analytics Solutions Senior 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

Analytics Solutions & DeliveryFinancial ServicesBankingJP MorganAnalytics Solutions & Delivery

Answer 10 quick questions to check your fit for Data Analytics Solutions Senior Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.