About Us

JPMorgan Chase is a leading financial services firm, helping nearly half of America™s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants™ and employees™ religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

Organization Description

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We™re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction.

The Team: Data & Analytics- Customer Segmentation

The Data & Analytics- Customer Segmentation Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data strategy/partnerships to behavioral and journey analytics, data science and machine learning. We are actively engaged in ensuring the customer is placed at the epicenter of each conversation to continually improve the customers™ holistic experience across all channels. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting-edge data and analytics infrastructure. Joining Data & Analytics means you sit in the engine that powers JP Morgan Chase with insights, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth.

CCB Data & Analytics is searching for Customer Experience and Journey Quant Analytics Associates and Sr. Associates who will be key members of the Product Customer Experience & Journey Analytics organization. As a member of the team, you will:

Work as a key member of our cross-functional team to improve the online and offline experiences for our customers through data driven strategies and approaches
Deliver Customer First analysis to meet our customers™ spectrum of needs and business objectives
Develop analytic code to explore behavioral, transactional, operational and attitudinal datasets to identify areas of friction and actionable recommendations
Work with Product, Design, Customer Experience and Development teams to identify areas of opportunity for key initiatives and drive strategic projects.

Associate Essential Functions & Responsibilities:

Execute Customer centric analytical approaches to identify and evaluate the Customers™ experience across online and offline channels and product touchpoints.
Write code to efficiently analyze data from a variety of sources, perform data cleaning and exploratory analysis
Identify and communicate impactful data driven insights to improve our customers™ experience
Effectively communicate and collaborate with key stakeholders, and program managers in an agile environment
Contribute to sharing and documenting analytical approaches, code and resulting knowledge across the enterprise

Associate Qualifications

A passion to understand customers™ varying needs, behaviors and experiences via quantitative and qualitative analysis
Bachelor™s in Statistics, Data Analytics or related quantitative degree plus 2+ years of working experience in data analytics
Experience writing efficient SQL, Python or R code capable of processing millions of records
Exceptional problem solving and analysis skills, combined with the ability to troubleshoot and resolve data issues
Keen attention to detail, quality output and timelines
Ability to communicate findings via effective communication among fellow analysts and across business stakeholders

Sr. Associate Essential Functions & Responsibilities:

Deliver Customer centric analytical approaches to identify and evaluate the Customers™ experience across online and offline channels and product touchpoints.
Write production ready code to efficiently analyze data from a variety of sources, perform data cleaning and exploratory analysis
Develop hypothesis to craft and deliver impactful insights with data driven actions through data visualization techniques
Effectively communicate and collaborate with key stakeholders, and program managers in an agile environment
Contribute to reviewing and sharing and documenting analytical approaches, code and resulting knowledge across the enterprise in addition to building out our teams analytic capabilities and organizational impact
Adhere to data governance, and transparency

Sr. Associate Qualifications

A passion to understand customers™ varying needs, behaviors and experiences via quantitative and qualitative analysis
Bachelor™s in Statistics, Data Analytics or related quantitative degree plus 4+ years of working experience in data analytics
Experience working with Customer Experience and Customer Journey platforms and methodologies of data capture, transformation and measurement such as Bryter CX, Adobe Customer Journey Analytics
Experience joining with click-stream (Adobe Analytics or Google Analytics), journey, and additional datasets such as transactional, attitudinal or operational together to identify unique customer insights driven by behavior and outcomes
Experience writing production ready, optimized code in SQL and/or Python in large data environments
Firm understanding of statistical analysis and common analytical techniques such as A/B testing, causal analysis, regression etc¦
Experience working with distributed data systems to augment the collection and manipulation of large data sets with traditional analytical toolsets (Python, SQL, R)
Exceptional problem solving and analysis skills, combined with the ability to troubleshoot and resolve data issues
Keen attention to detail, quality output and timelines
Strong ability to communicate findings via effective communication among fellow analysts and across business stakeholders
Ability to effectively communicate technical and analytical approaches to management

Experience with Agile methodologies

CCB Data & Analytics

Keyword: card%20services

About Us

JPMorgan Chase is a leading financial services firm, helping nearly half of America™s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants™ and employees™ religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

Organization Description

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We™re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction.

The Team: Data & Analytics- Customer Segmentation

The Data & Analytics- Customer Segmentation Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data strategy/partnerships to behavioral and journey analytics, data science and machine learning. We are actively engaged in ensuring the customer is placed at the epicenter of each conversation to continually improve the customers™ holistic experience across all channels. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting-edge data and analytics infrastructure. Joining Data & Analytics means you sit in the engine that powers JP Morgan Chase with insights, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth.

CCB Data & Analytics is searching for Customer Experience and Journey Quant Analytics Associates and Sr. Associates who will be key members of the Product Customer Experience & Journey Analytics organization. As a member of the team, you will:

Work as a key member of our cross-functional team to improve the online and offline experiences for our customers through data driven strategies and approaches
Deliver Customer First analysis to meet our customers™ spectrum of needs and business objectives
Develop analytic code to explore behavioral, transactional, operational and attitudinal datasets to identify areas of friction and actionable recommendations
Work with Product, Design, Customer Experience and Development teams to identify areas of opportunity for key initiatives and drive strategic projects.

Associate Essential Functions & Responsibilities:

Execute Customer centric analytical approaches to identify and evaluate the Customers™ experience across online and offline channels and product touchpoints.
Write code to efficiently analyze data from a variety of sources, perform data cleaning and exploratory analysis
Identify and communicate impactful data driven insights to improve our customers™ experience
Effectively communicate and collaborate with key stakeholders, and program managers in an agile environment
Contribute to sharing and documenting analytical approaches, code and resulting knowledge across the enterprise

Associate Qualifications

A passion to understand customers™ varying needs, behaviors and experiences via quantitative and qualitative analysis
Bachelor™s in Statistics, Data Analytics or related quantitative degree plus 2+ years of working experience in data analytics
Experience writing efficient SQL, Python or R code capable of processing millions of records
Exceptional problem solving and analysis skills, combined with the ability to troubleshoot and resolve data issues
Keen attention to detail, quality output and timelines
Ability to communicate findings via effective communication among fellow analysts and across business stakeholders

Sr. Associate Essential Functions & Responsibilities:

Deliver Customer centric analytical approaches to identify and evaluate the Customers™ experience across online and offline channels and product touchpoints.
Write production ready code to efficiently analyze data from a variety of sources, perform data cleaning and exploratory analysis
Develop hypothesis to craft and deliver impactful insights with data driven actions through data visualization techniques
Effectively communicate and collaborate with key stakeholders, and program managers in an agile environment
Contribute to reviewing and sharing and documenting analytical approaches, code and resulting knowledge across the enterprise in addition to building out our teams analytic capabilities and organizational impact
Adhere to data governance, and transparency

Sr. Associate Qualifications

A passion to understand customers™ varying needs, behaviors and experiences via quantitative and qualitative analysis
Bachelor™s in Statistics, Data Analytics or related quantitative degree plus 4+ years of working experience in data analytics
Experience working with Customer Experience and Customer Journey platforms and methodologies of data capture, transformation and measurement such as Bryter CX, Adobe Customer Journey Analytics
Experience joining with click-stream (Adobe Analytics or Google Analytics), journey, and additional datasets such as transactional, attitudinal or operational together to identify unique customer insights driven by behavior and outcomes
Experience writing production ready, optimized code in SQL and/or Python in large data environments
Firm understanding of statistical analysis and common analytical techniques such as A/B testing, causal analysis, regression etc¦
Experience working with distributed data systems to augment the collection and manipulation of large data sets with traditional analytical toolsets (Python, SQL, R)
Exceptional problem solving and analysis skills, combined with the ability to troubleshoot and resolve data issues
Keen attention to detail, quality output and timelines
Strong ability to communicate findings via effective communication among fellow analysts and across business stakeholders
Ability to effectively communicate technical and analytical approaches to management

Experience with Agile methodologies

CCB Data & Analytics

Keyword: card%20services