Bulge Bracket Investment Banks

Quant Analytics Associate - SAS/SQL, R/Python

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 17 hours ago

No clicks

Compensation: Not specified
City: Bengaluru
Country: India

Join the Co-Branded Cards analytics team to drive marketing effectiveness and business growth for card products through quantitative analysis. You will evaluate campaign performance, perform P&L analysis, build customer segmentation and data models, and translate large datasets into actionable recommendations. The role partners closely with business units to support growth targets and improve marketing efficiencies using tools like SAS, SQL, Python or R. Familiarity with advanced statistics and machine learning techniques is beneficial.

Location: Bengaluru, Karnataka, India

Join us to shape impactful marketing strategies and accelerate your career in analytics and business growth.

As a Quant Analytics Associate in the Co-Branded Cards team, you will solve complex business problems using quantitative and qualitative analysis to influence growth initiatives. You will partner with business units to deliver actionable insights that drive marketing effectiveness and business performance.

Job 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 analysis

Synthesize large volumes of data into meaningful insights and actionable strategies

Develop customer segmentation frameworks using advanced modeling tools

Collaborate with business units to understand goals and devise customer-focused strategies

Provide timely analytics for key trends to support business growth targets

Drive marketing efficiencies through data-driven recommendations

Required qualifications, capabilities, and skills

BS/BA/MS in an analytical field such as Statistics, Applied Mathematics, Computer Science, or Finance

Four years of experience in analytics or related field

Expert in SAS and SQL

Proficient in programming languages such as Python or R

Working knowledge of advanced statistical concepts

Experience manipulating large and complex databases and developing data models

Strong oral and written communication skills

Preferred qualifications, capabilities, and skills

Familiarity with machine learning techniques

Understanding of credit card P&L

Drive growth and marketing analytics for co-branded card products through data-driven business strategies.

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