JPMorgan Quant Analytics Associate - SAS SQL Python 

India, Karnataka, Bengaluru 

794187036

As a Quant Analytics Associate within the Card Acquisitions Forecasting & Offers Analytics team, you will transform data into actionable insights that drive investment strategies for credit card acquisitions. With a strong analytical background, proficiency in data processing and visualization, and the ability and willingness to collaborate effectively with multiple partners, you will be a key member of the team that drives sustainable growth in the Card business.

Job responsibilities

• Will own and support marketing analytics for spend engagement for all card products.A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
• Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
• Develop and maintain operational dashboards to assist business functions
• Partner with cross functional teams such as Finance, Strategy, Product and Customer Care to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations to business owners
• Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.
• Perform advanced analytics (eg: develop customer segmentation) leveraging statistical techniques 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
• Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment

Required qualifications, capabilities, and skills

• BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance) with minimum 4 years of relevant experience.
• Expert in SAS/SQL. Proficiency with programming languages such as R/Python
• Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)
• Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
• Strong oral and written communication skills
• Experience in summarizing data and building presentations using Powerpoint

Preferred qualifications, capabilities, and skills

• Intermediate to expert experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
• Experience in credit cards and/or retail banking
• Understanding of credit card P&L is preferred
• Understanding of digital marketing tools (Google Analytics, Adobe Analytics) is preferred