at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Senior Associate Data Scientist - Customer Analytics** is driving strategic decision-making in Chase's Consumer Bank by responsibly leveraging data. This role develops and executes complex analyses, optimizes BAU processes using AI tools, and consults with business partners. You'll require a Master's degree or equivalent experience in a quantitative discipline, along with 3+ years in data science/analytics, proficiency in SQL, Python/R, and experience with Tableau. Strong communication and strategic thinking skills are also crucial.
- Compensation
- Not specified USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: OH, United States
The Consumer Community Banking (CCB) Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data, building competitive advantages for our businesses while providing value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science, and machine learning. We are actively engaged in ensuring impact at the front line and with customers through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with cutting-edge data and analytics infrastructure. The team also offers significant learning and mobility opportunities for career development and future growth.
As a Data Scientist Senior Associate within the Affluent, Core, and Emerging (ACE) Analytics team, supporting Affluent Customer Analytics within our Consumer Bank Decision Sciences team you unify data and analytics talent across Chase to responsibly leverage data, building competitive advantages for our businesses while providing value and protection for customers. You will work on measuring the effectiveness of and driving Chases Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques.
Job responsibilities:
- Develop reporting and conduct complex analyses in partnership with Consumer Bank product and finance teams, including product and servicing channel performance analyses, client engagement and attrition analyses, customer segmentation work, and more.Utilize AI tools to build efficiencies in BAU processes, uncover actionable insights from large/complex datasets, and accelerate analysis and decision-making through responsible, well-governed automation and experimentationConsult with business partners on analytical needs and make strategy recommendations.Solve unstructured business problems and develop deep dive analyses of customer behavior using a variety of analytic, statistical, and machine learning tools/techniques.Break down complex analytic results and concepts into relevant and digestible takeaways, and present them to stakeholders and senior management.Continuously develop skills to provide best-in-class analytics to the business.Required qualifications, skills, and capabilities:
- Masters degree in a quantitative discipline or a Bachelors degree and 3+ years of experience in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields).3+ years of experience in applying statistical and machine learning methods to real-world problems.3+ years of experience with SQL and at least one of the following analytical tools: SAS, Python, R (Python preferred).Experience with visualization techniques for data analysis and presentations (Tableau preferred).Superior written, oral communication, and presentation skills with experience communicating concisely and effectively with all levels of management and partners.
Preferred qualifications, skills, and capabilities:- Intellectually curious and eager to learn new things.Strategic thinkers with the ability to focus on business goals.Excellent at solving unstructured problems independently.Highly organized and able to prioritize multiple tasks.Strong communicators and able to build relationships with key stakeholders.
Sr. Associate Data Scientist, Consumer Bank Customer Analyticssupports Affluent team; builds reporting and advanced analyses.
Data Scientist, Senior Associate - Customer Analytics
Compensation
Not specified USD
City: Not specified
Country: United States
ExperiencedNo visa sponsorship**Senior Associate Data Scientist - Customer Analytics** is driving strategic decision-making in Chase's Consumer Bank by responsibly leveraging data. This role develops and executes complex analyses, optimizes BAU processes using AI tools, and consults with business partners. You'll require a Master's degree or equivalent experience in a quantitative discipline, along with 3+ years in data science/analytics, proficiency in SQL, Python/R, and experience with Tableau. Strong communication and strategic thinking skills are also crucial.
Full Job Description
Location: OH, United States
The Consumer Community Banking (CCB) Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data, building competitive advantages for our businesses while providing value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science, and machine learning. We are actively engaged in ensuring impact at the front line and with customers through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with cutting-edge data and analytics infrastructure. The team also offers significant learning and mobility opportunities for career development and future growth.As a Data Scientist Senior Associate within the Affluent, Core, and Emerging (ACE) Analytics team, supporting Affluent Customer Analytics within our Consumer Bank Decision Sciences team you unify data and analytics talent across Chase to responsibly leverage data, building competitive advantages for our businesses while providing value and protection for customers. You will work on measuring the effectiveness of and driving Chases Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques.Job responsibilities:
- Develop reporting and conduct complex analyses in partnership with Consumer Bank product and finance teams, including product and servicing channel performance analyses, client engagement and attrition analyses, customer segmentation work, and more.Utilize AI tools to build efficiencies in BAU processes, uncover actionable insights from large/complex datasets, and accelerate analysis and decision-making through responsible, well-governed automation and experimentationConsult with business partners on analytical needs and make strategy recommendations.Solve unstructured business problems and develop deep dive analyses of customer behavior using a variety of analytic, statistical, and machine learning tools/techniques.Break down complex analytic results and concepts into relevant and digestible takeaways, and present them to stakeholders and senior management.Continuously develop skills to provide best-in-class analytics to the business.Required qualifications, skills, and capabilities:
- Masters degree in a quantitative discipline or a Bachelors degree and 3+ years of experience in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields).3+ years of experience in applying statistical and machine learning methods to real-world problems.3+ years of experience with SQL and at least one of the following analytical tools: SAS, Python, R (Python preferred).Experience with visualization techniques for data analysis and presentations (Tableau preferred).Superior written, oral communication, and presentation skills with experience communicating concisely and effectively with all levels of management and partners.
Preferred qualifications, skills, and capabilities:- Intellectually curious and eager to learn new things.Strategic thinkers with the ability to focus on business goals.Excellent at solving unstructured problems independently.Highly organized and able to prioritize multiple tasks.Strong communicators and able to build relationships with key stakeholders.
Sr. Associate Data Scientist, Consumer Bank Customer Analyticssupports Affluent team; builds reporting and advanced analyses.CareersResources
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