American Express Jobs in Gurgaon for Manager Risk Management

Manager-Risk Management

 

Functional Description

The CFR team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers’ confidence in the security of our products. It utilizes 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 service and risk management as well as enable commerce and drive innovation. CFR is responsible for developing and monitoring statistical models for predicting individual and commercial’ behaviors such as credit risk, fraud risk, spending and revolve. These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth. Underpinning our growth as a company are the tools and capabilities that ensure we prudently take and manage risk in a viable way

Purpose of the Role:

As part of the Accertify Decision Sciences team in CFR, the incumbent will be primarily responsible for leading a team of decision scientists in developing new and enhancing existing Decision Science Solutions and Data Products for Accertify and InAuth by leveraging best-in-class modeling techniques and available data

Responsibilites:

Develop and Nurture a high performing team of decision scientists to:
– Build new and enhance existing Fraud Prevention Models by leveraging best-in-class analytical techniques and data across Clients (Online Merchants)
– Apply machine learning techniques to create Data Prodcuts
– Mine client data to improve model’s risk discrimination or improve economics over and above existing framework
– Use device related information to come up with Device ID and device related fraud risk attributes
Partner with Accertify and InAuth collegaues to implement models & develop Capablities that will help in more optimal decision and drive revenue

Minimum Qualifications
Past Experience:

4+ years with relevant experience in Analytcial/Modeling Skills

Preferred: Experience in R/Python programming and/or Statistical Modeling. Prior experience in Fraud modeling and/or device related work is a plus.

Academic Background:

Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management

Functional Skills/Capabilities:

Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees, Nearest Neighbour

Technical Skills/Capabilities:

Analytics & Insights: Advanced Statistical Techniques; Data Correlation; GINI, Concordance, Precision, Recall; Deck Mechanics

Location: Gurgaon

 

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