JPMorgan & Chase Recruitment Drive; Hiring Associate – Apply Now

Quant Analytics Associate - Credit cards Job Openings in Bangalore & Mumbai 2025!!!

JPMorgan & Chase announced job vacancy for the post of Quant Analytics Associate - Credit cards. The place of posting will be at Bangalore & Mumbai. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	JPMorgan & Chase
Required Qualifications	Graduate / Post Graduate
Category	Quant Analytics
Job Posted On	29.July.2025
Closing Date	15.August.2025

As a Quant Analytics Associate at JPMorgan Chase within Data Analytics team, you will solve complex business problems through deep quantitative and qualitative analysis to influence growth and marketing initiatives of consumer branded cards businesses including Freedom, Slate & Sapphire. You will synthesize data to drive business decisions with a passion for business strategy and analytics.

Θ Positions: Quant Analytics Associate - Credit cards

Θ Job Location: Bangalore & Mumbai

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: 210648931

Roles and Responsibilities:

• Own and support marketing analytics for card products to solve business problems and enable growth.
• Evaluate effectiveness of marketing campaigns and perform P&L evaluation.
• Utilize advanced tools like SAS, Python, SQL for data engineering and synthesize large volumes of data into meaningful insights.
• Perform advanced analytics to develop customer segmentation and differentiated offering strategies.
• Interact with business units to devise strategies with customer-focused analysis and performance.
• Support business growth targets by providing concise, insightful, and timely analytics for key trends.

Required Skills & Qualifications:

• BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance).
• Expert in SAS/SQL with proficiency in programming languages such as R/Python.
• Proficient in visualization tools like Tableau.
• Working knowledge of advanced statistical concepts and machine learning techniques.
• Experience with manipulating large and complex databases and developing data models.
• Strong oral and written communication skills.
• Understanding of credit card P&L.

 

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