Quant Senior Associate [Multiple Positions Available]

JPMorgan Chase & Co.•Wilmington, DE

16h•Onsite

About The Position

This role involves end-to-end analytical tasks with minimal guidance, including problem identification, data analysis, and formulating actionable recommendations. The position focuses on developing and maintaining periodic analytics to provide management with insights into emerging trends, product strategy performance, and recommending new lending strategies. Responsibilities include developing project proposals, performing data mining, building predictive models (clustering, decision tree analyses) to understand customer behavior and enhance segmentation for targeted marketing. The role requires conducting strategic analysis, generating recommendations, building and optimizing lending strategies, and collaborating with partners for implementation. It also supports marketing campaign analytics, translates analytical findings into business solutions, designs experiments, and manages project timelines independently. The Quant Senior Associate will apply mathematical or statistical theory to collect, organize, interpret, and summarize numerical data from multiple sources, utilize efficient data warehousing for scalable analytics, and contribute to developing industry-leading lending strategies through segmentation. Communication with Executive stakeholders on lending initiatives, discussing solutions, and seeking approval is key. The role requires a deep understanding of key performance metrics and profitability drivers to deliver insights across the full account lifecycle, visualize data, and present findings to executives. Developing strong working relationships with leaders in Marketing, Finance, and Risk is also essential.

Requirements

Master's degree in Management of Technology, Management Information Systems, Statistics, Economics, Finance, or related field of study
1 year of experience in the job offered or as Risk Strategic Analytics, Strategic Analytics, or related occupation
Conducting analytical and strategic projects from end to end for the development of credit card line management products
Performing strategic analysis of marketing campaigns utilizing Industry-specific credit card knowledge and trends including Credit card line management and engagement strategies
Developing and implementing lending strategies for increasing customer engagement, product take rates, and improved business outcomes
Performing data warehousing and manipulation
Performing data analysis
Creating decision trees and segmentations
Extracting key insights using Snowflake, SAS Viya, SQL, and Python
Structuring and interpreting data analyses and translating findings into actionable business recommendations
Creating Tableau dashboards for stakeholders to explore analytics results
Evaluating the impact of customer segments on customer experiences and engagement
Handling stakeholder relationships and presenting findings and lending initiatives to executive stakeholders

Responsibilities

Complete analytical tasks from end-to-end with minimal guidance, starting with problem identification, analysis of data, and formulating concise conclusions with actionable recommendations.
Develop and maintain periodic analytics to provide management with full insight into emerging trends including the performance of lending product strategies and recommend new portfolio lending strategies.
Develop project proposals, perform data mining, and build predictive models such as clustering and decision tree analyses to uncover customer behavior patterns and enhance customer segmentation for targeted marketing.
Conduct strategic analysis and generating thoughtful recommendations, build and optimize lending strategies, and work with partners to get strategies implemented.
Support marketing campaign analytics.
Translate analytical findings into actionable business solutions, design experiments, and manage project timelines independently.
Develop and apply mathematical or statistical theory to collect, organize, interpret, and summarize numerical data from multiple sources.
Use efficient data warehousing for scalable analytics, contribute to the development of industry-leading lending strategies through segmentation techniques.
Communicate with Executive stakeholders on lending initiatives, discuss solutions, and seek approval.
Use detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle.
Visualize data and present findings to Executive stakeholders on lending initiatives and solution discussion.
Develop deep and productive working relationship with the leaders across Marketing, Finance, and Risk.