American Express Off Campus Drive 2021 For Management Trainee

Company Name: American Express (Off Campus Jobs 2021)

The Credit & Fraud Risk (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 aviable way.
Experienced professional in a team member role, well versed in statistical modeling techniques. Nature of work is similar to Analyst 1 but level of supervision is lower. Position requires higher levels of knowledge and skill. Assigned tasks are of low to medium complexity.

Develop and enhance existing American Express risk strategies / statistical models by leveraging best-in class modeling
techniques and data across various stages of card member lifecycle
Critical Factors to Success: Business Outcomes:
Drive billing, revenue growth and profitability through advanced analytical techniques
Maximize business returns by institutionalizing efficient and accurate models.
Innovate Modeling Techniques and Variable creation
Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning Leadership

Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from Top Tier Institutes
Analytics & Insights & Targeting
SAS, R, Python ,Hive, Pyspark, SQL
Advanced Statistical Techniques
Hands on programming and ability to design
Data Science/Machine Learning/Artificial Intelligence
Expertise in Coding, Algorithm, High Performance Computing
Unsupervised and supervised techniques:- active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques Gradient boosting machines, self-reinforcing algorithmsnctional & Technical Skills/Capabilities
Knowledge of Platforms: Big Data – Cornerstone, Teradata, BlueLight

Also Check Off Campus Drive Exam Syllabus 2021

AFCAT Syllabus 2021	Click here
DSSSB PGT, TGT PRT/Nursery Teacher Syllabus 2021	Click here
PGCIL Diploma Trainee Syllabus 2021	Click here
L&T Syllabus 2021	Click here

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