Quant Analytics Associate – Card Analytics
Company Name:-
JPMorgan Chase Bank, N.A.
Job Location:-
Bengaluru, Karnataka
Job Summary:-
J PMorgan Chase & Co.
(NYSE: JPM) is a leading global financial services firm with assets of $2.
6 trillion and operations worldwide.
The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management.
A component of the Dow Jones Industrial Average, JPMorgan Chase & Co.
serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.
P.
Morgan and Chase brands.
Information about JPMorgan Chase & Co.
is available at www.jpmorganchase.com .
In this position the candidate will be responsible for solving complex business problems through deep quantitative and qualitative analysis to influence growth and marketing initiatives of consumer branded cards businesses including Freedom, Slate & Sapphire.
The ideal candidate will be an expert in synthesizing data to drive business decisions with a passion for business strategy and analytics
Key responsibilities include:Will own and support marketing analytics for card product/s to solve for business problems and enable business growth.
A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
Candidate has to have advanced working knowledge of tools like SAS, Python, SQL to perform data engineering.
Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.
Perform advanced analytics to develop customer segmentation leveraging modeling tools to develop framework for differentiated offering strategies to drive marketing efficiencies.
Interact regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer focused analysis and performance to realize growth opportunities.
Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis.
Qualifications:BS/BA/MS in an analytical field (e.g.
, Statistics, Applied Mathematics, Computer Science, Finance).
Expert in SAS/SQL.
Proficiency with programming language
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