American Express - Business Analyst/Assistant Manager - Credit & Fraud Risk Management - Decision Science

Location : Gurgaon

Open positions : Multiple

Experience : 0 - 3 Yrs

Skillset : SAS, R, SQL, Machine Learning, Python

- Business Analyst/Assistant Manager - Credit & Fraud Risk Management

- The candidate would be placed in the Credit Fraud Risk (CFR) or Global Risk Banking and Compliance (GRBC), Centre of Excellence in a Decision Science role.

- The incumbent would get the opportunity to work on our global portfolios across different markets.

- Develop and enhance existing American Express statistical Models by leveraging best-in-class modeling techniques and data across various stages of card member lifecycle.

Specific Job responsibilities would be following:

- Develop and enhance existing American Express statistical Models by leveraging best-in-class modeling techniques. Models could belong to 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

Qualification :

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

- 0-3 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)