At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let’s lead the way together.

 

Job Designation :  Software Engineer Associate -Digital Product Management

Salary : 10 LPA – 15 LPA

Qualification : Bachelor’s degree

Experience : Freshers / 0 – 2 years

Skill Set :

  1. Strong Hive, SQL skills, knowledge of Big data and related technologies
  2. Hands on experience on Hadoop & Shell Scripting is a plus
  3. Understanding of Data Architecture & Data Engineering concepts
  4. Strong verbal and written communication skills, with the ability to cater to versatile technical and non-technical audience
  5. Willingness to Collaborate with Cross-Functional teams to drive validation and project execution
  6. Good to have skills – Python / Py-Spark
  7. Excellent Analytical & critical thinking with attention to detail
  8. Excellent planning and organizations skills including ability to manage inter-dependencies and execute under stringent deadlines
  9. Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities

Job Description : 

The AML Data Capabilities team was established with a mission to own and govern data across products – raw data, derivations, organized views to cater for analytics and production use cases and to manage the end-to-end data quality. This team comprises of risk data experts with deep SME knowledge of risk data, systems and processes covering all aspects of customer life cycle.

  1. Develop and Maintain Organized Data Layers to cater for both Production use cases and Analytics for Transaction Monitoring of Anti-Money Laundering rules.
  2. Manage end to end Big Data Integration processes for building key variables from disparate source systems with 100% accuracy and 100% on time delivery
  3. Partner closely with Strategy and Modeling teams in building incremental intelligence, with strong emphasis on maintaining globalization and standardization of attribute calculations across portfolios.
  4. Partner with Tech teams in designing and building next generation data quality controls.
  5. Drive automation initiatives within existing processes and fully optimize delivery effort and processing time
  6. Effectively manage relationship with stakeholders across multiple geographies
  7. Contribute into evaluating and/or developing right tools, common components, and capabilities
  8. Follow industry best agile practices to deliver on key priorities
  9. Ensuring process and actions are logged and support regulatory reporting, documenting the analysis and the rule build in form of qualitative document for relevant stakeholders.

Location : Gurugram, Haryana, India

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