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Recruitment Lead at American Express
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American Express - Business Analyst - SAS/SQL/Statistics - IIM/IIT/DSE/XLRI/NITIE/MDI/FMS (0-3 yrs)
"I began working at American Express in 2007 through a campus recruitment program. I now lead a team managing business intelligence tools and platforms, creating data capabilities and insights for measuring the performance of acquisition channels, marketing campaigns, cobrand products & Digital experience channels. It’s been exciting and rewarding!"
Neha Singh
Vice President, Enterprise Business Intelligence Engineering
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Job Description :
The candidate would be placed in the Risk & Information Management -Centre of Excellence in a Decision Science/Strategy role and would be required to work on US or International Card portfolios.
- Develop and enhance existing statistical models by leveraging best-in-class modeling techniques. Models could belong to Customer Acquisition, Underwriting or Customer Management stages of the card member lifecycle.
- Lead the analytics for driving billing, revenue growth and profitability through diverse analytical projects spanning across Line Management, Yield Management, Lending on Charge and Central Lending Capabilities.
- Enhance the economic logic, optimization models and business rules to maximize through the Cycle returns for all business functions.
- Application of machine learning techniques to complement existing conventional prediction framework.
- Exploration of new Information sources to create predictive attributes that provide incremental discrimination over and above existing framework.
- Partnering with other Teams to develop System Capabilities and other predictive logic(s) that will help in more optimal downstream decisioning.
Qualifications :
- Post Graduate/Masters Degree In Business Administration, Statistics, Mathematics, Economics, Engineering Or related fields from tier 1 premium institutes only (IIM, IIT, DSE, XLRI, NITIE,MDI,FMS etc)
- (2013, 2014 and 2015 batch only)
- Prior experience In SAS/SQL programming and/or statistical modeling would be preferred
- Ability to learn quickly and work independently with complex, unstructured initiatives
- Flexibility and adaptability to work within tight deadlines and changing priorities
- Strong communication & interpersonal skills with ability to work effectively in a team environment
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