American Express Careers

Business Analyst /Assistant Manager-RIM CoE

Gurgaon, India
Operations Risk Management

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Job Description

 The candidate would be placed in the Risk & Information Management -Centre ofExcellence in a Decision Science/Strategy role and would be required to work onUS or International Card portfolios.

SpecificJob responsibilities would be following:
·        Develop and enhanceexisting American Express statistical Models by leveraging best-in-classmodeling techniques. Models could belong to Acquisition, Underwriting orCustomer Management stages of the card member lifecycle
·        Lead the analytics fordriving billing, revenue growth and profitability through diverse analyticalprojects spanning across Line Management, Yield Management, Lending on Charge andCentral Lending Capabilities
·        Enhance the economiclogic, optimization models and business rules to maximize through the Cyclereturns for all business functions
·        Application of machinelearning techniques to complement existing conventional prediction framework
·        Exploration of newInformation sources to create predictive attributes that provide incrementaldiscrimination over and above existing framework
·        Partnering with otherTeams to develop System Capabilities and other predictive logic(s) that willhelp in more optimal downstream decisioning


-- Masters Degree In Business Administration, Statistics, Mathematics, Economics, Engineering Or related fields from Premium Institutes only

- 0-4 years of Post graduation experience in Analytical/Modelling Skills

- 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 and ability to work effectively in a team environment

--Candidates with prior experience In SAS/SQL programming and/or statistical modeling will be preferred

Shift Timings: Mon-Wed- (1:30-9:30pm)

Thur- Fri (8am-5pm)/ (11am-7pm)

ReqID: 17006724
Schedule (Full-Time/Part-Time): Full-time
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