• American Express - Analyst - Risk Management II Jobs in Gurgaon,India

  • American Express
  • Save Job
  • 4 - 8 Years
  • Posted : above 1 month

Job Description:

Function Description

GCMA is responsible for targeting, acquiring, engaging and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) and Global Merchant Services (GMS)

Purpose of the Role

- In this role, the incumbent will be part of Commercial Data Quality & Data Products Analytics team of GCMA He/She will apply advanced analytics, machine learning and data science techniques to develop data products or data quality products for emerging business opportunities in the company

Responsibilities

Key Responsibilities include

- Define, Design, Create, and Implement data science & analytical solutions on data products and data quality of commercial data across prospects & customers including US and International markets

- Collaborate with Decision Science and Capabilities to manage, guide and build analytical solutions to improve coverage & accuracy of data including activities such as identification, arbitration, modeling , implementation and execution into business outcomes

- Explore the usage and implementation of latest big data/machine learning techniques and intelligently integrating traditional structured data with unstructured data to drive profitable growth in commercial acquisition and charge volume

- Introduce new approaches to transform complex customer behavioral data into data products that serve the entire Global Commercial organization

- Continually broaden and strengthen knowledge of analytical methods and tools

Critical Factors to Success

- Strong communication skills, able to explain complex algorithm and results to business partners in simple terms

- Ability to work in a dynamic, cross-functional environment, with a strong attention to detail

- Exceptional strategic and analytical thinking

- Should be comfortable with flexible shift timings

- Ability to work independently yet being a team player

Qualifications

Past Experience

- Hands-on experience in machine learning algorithm development or application

- Experience in large data processing and handling, deep understanding in data science is a plus

- Familiar with big data platform and its applications, such as Hadoop, Pig, Hive, and Spark

- Master at least one popular programming language (eg, Python/R, Java, Scala, C++)

Academic Background

- Advanced degree in quantitative field related to machine learning, such as Mathematics, Statistics, Machine Learning, Pattern Recognition, or Operation Research, is required

Functional Skills/Capabilities

- Hands-on experience in machine learning algorithm development or application

- Experience in large data processing and handling, deep understanding in data science is a plus

Technical Skills/Capabilities

- Familiar with big data platform and its applications, such as Hadoop, Pig, Hive, and Spark

- Master at least one popular programming language (eg, Python/R, Java, Scala, C++)

Knowledge of Platforms Familiar with big data platform and its applications, such as Hadoop, Pig, Hive, and Spark

Behavioral Skills/Capabilities

- Strong communication skills, able to explain complex algorithm and results to business partners in simple terms

- Ability to work in a dynamic, cross-functional environment, with a strong attention to detail

- Exceptional strategic and analytical thinking

- Should be comfortable with flexible shift timings

- Ability to work independently yet being a team player

Enterprise Leadership Behaviors

- Set The Agenda Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective

- Bring Others With You Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential

- Do It The Right Way Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

#NOLI

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 16th Mar 2020

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