Quantitative Analytics [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

23h•Onsite

About The Position

Duties: Develop and implement business intelligence tools, advanced analytical models, and data analysis to enhance credit card offerings, optimize customer experience, and drive product design and strategy. Analyze large datasets to identify trends and patterns to inform strategic decisions, such as determining which benefits to offer, assessing campaign performance, and conducting customer segmentation. Collaborate with cross-functional teams, including product managers, finance, and engineers to integrate data-driven insights into product development and marketing strategies. Design and conduct experiments to test hypotheses and validate models, ensuring that credit card products meet customer needs and comply with control and regulatory requirements. Present findings and recommendations to senior leadership, translating complex data insights into actionable business strategies that drive growth and profitability. 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.

Requirements

Master's degree in Business Analytics, Electronic Engineering, Computer Science, or related field of study plus 2 years (24 months) of experience in the job offered or as Quantitative Analytics, Data Scientist, Application Developer, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Electronic Engineering, Computer Science, or related field of study plus 5 years (60 months) of experience in the job offered or as Quantitative Analytics, Data Scientist, Application Developer, or related occupation.
One (1) year of experience with the following: Manipulating and analyzing datasets using SQL and programming languages such as R, Python, or Julia to derive insights through exploratory data analysis
Creating and interpreting technical documentation and metadata to communicate designs, analyses, and procedures to stakeholders
Maintaining analytical tools or code
Creating datasets and end-to-end machine learning models using ETL, data modeling, and statistical analysis for predictive analytics and segmentation
Developing business intelligence tools and dashboards using Tableau or Power BI

Responsibilities

Develop and implement business intelligence tools, advanced analytical models, and data analysis
Analyze large datasets to identify trends and patterns
Collaborate with cross-functional teams to integrate data-driven insights
Design and conduct experiments to test hypotheses and validate models
Present findings and recommendations to senior leadership