Amex is hiring for Analyst | Apply Now

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Role :Analyst

Location :Gurugram, Haryana, India • Bengaluru Urban, Karnataka, India

Job Description

People and corporations may achieve amazing things if given the proper support. As a member of Team Amex, you join a varied, international network of colleagues who are steadfastly committed to supporting one another, our communities, and our customers. Here, with perks, programs, and flexibility that support you both personally and professionally, you'll learn and grow as we work with you to create a career trajectory that's special and significant to you.

Every coworker at American Express has the chance to contribute to the company's success, and you will be acknowledged for your impact, leadership, and efforts. Working together to maintain our company's core values and strong support commitment to deliver the greatest customer experience possible every day, we can succeed as a team. We will carry out this task with the highest integrity in a setting where everyone is respected, heard, and given a sense of belonging. Join Team Amex so that we may both lead the way.

Responsibilities

  • Recognize AXP's primary business and the factors influencing different choices.
  • Generate novel solutions and gain business insights by conducting extensive data analysis.
  • Utilize the Amex network's closed loop capability to make more informed and pertinent judgments.
  • Focus your innovation on creating fresher, more effective methods with big data and machine learning solutions.
  • Giving the leadership and important partners a clear explanation and organization of the business results throughout the prospect and customer domain
  • Keep an open mind and be informed on advancements in the fields of finance, payments, analytics, etc.

Education Qualifications

  • Master's degree in computer science, statistics, economics, or a related discipline, such as an MBA

Skills

  • 0–30 months of big data workstream and analytics experience
  • Capacity to lead project deliverables in order to produce business outcomes
  • Capacity to function well in a group setting
  • strong interpersonal and communication abilities
  • creative problem solver with a rapid rate of learning and the capacity to operate autonomously on challenging, unstructured projects
  • Capability to Connect with Global Cross-Functional Business Partners
  • Hive, Spark, R, SAS, and SQL
  • Both supervised and unsupervised methods include: attribute engineering, graphical models, Gaussian processes, Bayesian models, neural models, active learning, transfer learning, neural models, decision trees, reinforcement learning, and Map Reduce approaches.

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  1. Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
  2. Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
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