Analyst-Data Science

American Express India
Posted on
American Express India logo

Experience
Up to 3 yrs
Salary (CTC)
₹18.5L - ₹20.4L
Job Location
Manesar, India
Vacancy
1
Designation
Data Science Analyst
Job Type
Not specified

Job Description

Overview of the Business:

Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.

A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That s where our Credit Fraud Risk (CFR) Analytics Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics data science. We help the company grow its business profitably while delivering the worlds best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.

As a part of the team, you ll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry s top leaders in analytics, data science and machine learning. If you re passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.

Description on the role

Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.

MBA, Master s Degree In Economics, Statistics, Computer Science Or related fields
0-30 months of experience in analytics
Ability to drive project deliverables to achieve business results
Ability to work effectively in a team environment
Strong communication and interpersonal skills
Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
Ability to Integrate with Cross-Functional Business Partners Worldwide

Understand the core business of AXP and the levers behind various decisions
Analyze large amounts of data to derive business insights and create innovative solutions
Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
Innovate with a focus on developing newer and better approaches using big data machine learning solution
Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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