• American Express - Business Analyst - Credit & Fraud Risk Jobs in Gurgaon,India - 23808049

  • American Express
  • Save Job
  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

Job Description

Why American Express?

Theres a difference between having a job and making a differenceAmerican Express has been making a difference in peoples lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards

Weve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community And when theyre ready to take on a new career path, were right there with them, giving them the guidance and momentum into the best future they envision

Because we believe that the best way to back our customers is to back our people

The powerful backing of American Express

Dont make a difference without it

Dont live life without it

Function 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

- The candidate would be part of the Global Credit Bust-Out (CBO) Modeling Team in Global Fraud Risk Management

- The candidate will be responsible for developing, validation, implementation and maintenance of next generation of CBO models

- In doing so, this person will work very closely with other members of the team in Gurgaon and Phoenix as well as various international market partners

Responsibilities

- Develop and enhance existing profitability based Credit Bust-out (CBO) risk management logic by leveraging best-in-class analytical techniques and data across Underwriting and Customer Management stages of the card member lifecycle

- Application of machine learning techniques to create improvements and efficiencies in the existing processes

- Exploration of new Information sources to improve our risk discrimination and / or improve our economics over and above existing framework

- Partner with other teams across the globe to develop System Capabilities and other logic(s) that will help in more optimal decision

Critical Factors to Success

- Business Outcomes Drive Revenue growth and profitability through advanced analytical techniques;

Innovation in use of Modeling Techniques and Variable creation

- Leadership Outcomes Put enterprise thinking first - connect the roles agenda to enterprise priorities and balance the needs of customers, partners, collegaues; Lead with an external perspective - challenge status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition

Qualifications

Past Experience

- 0-3 years with relevant experience in Analytcial/Modeling Skills

Preferred Experience in R/Python programming and/or Statistical Modeling

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

Knowledge of Platforms

- R, Python, SAS, SQL; Advanced Excel and Powerpoint

Behavioral Skills/Capabilities

- Clear and candid communication (oral and written)

- Attention to detail and high-quality execution;

- Build collaborative and trusting relationships;

- Manage multiple projects concurrently in an environment of tight deadlines

Job type- Permanent

Industry Type - Operations

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Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 13th Apr 2020

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