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Data Engineer for Credit and Fraud Risk Management

1 month ago


Gurgaon, Haryana, India AMEX Full time
About American Express

At American Express, we're committed to delivering the world's best customer experience every day. Our teams work together to drive profitable business growth by reducing the risk of fraud and maintaining our customers' confidence in the security of our products.

The Role

We're seeking a highly skilled Data Engineer to join our Credit & Fraud Risk team. As a Data Engineer, you'll play a critical role in developing and deploying risk management automation that is durable, scalable, easy to deploy, and transparent to business strategy partners in real-time and batch environments.

Key Responsibilities:
  1. Develop and deploy risk products like Business Logic Management, Data Derivation/Ingestion, Data Quality, and Business Intelligence.
  2. Work on proprietary Cornerstone/Risk platforms using Big Data Tools and Frameworks, including Hive, ETL, SQL, GCP, and Python.
  3. Correlate requirements to the impact of logic on card members and perform unit and end-to-end testing.
  4. Contribute to evaluating and/or developing right tools, common components, and capabilities, and identify opportunities to adopt innovative technologies.
  5. Develop a deep understanding of business logic, intent, and long-term objectives to align priorities and develop long-life solutions.
Critical Factors to Success:Business Outcomes:
  1. Drive capabilities innovation and resultant business growth by applying existing and emerging technologies to deliver against customer goals.
  2. Ability to display abstract thinking while solving complex business problems.
Leadership Outcomes:
  1. Put enterprise thinking first, connect the roles agenda to enterprise priorities, and balance the needs of customers, partners, colleagues, and shareholders.
  2. Lead with an external perspective, challenge status quo, and bring continuous innovation to our existing offerings.
  3. Strong communication skills and outcome-driven approach.
Requirements:
  • Bachelor's or Master's degree in Engineering, Computer Science, MBA, or other relevant qualification.
  • Relevant experience: 1-4 years.
  • Advanced data manipulation techniques.
  • Understanding of data/modelling/analytics/ETL concepts.
Benefits:

We offer a competitive base salary of $120,000 - $150,000 per year, plus bonus incentives, support for financial well-being and retirement, comprehensive medical, dental, vision, life insurance, and disability benefits, flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need, generous paid parental leave policies, free access to global on-site wellness centers staffed with nurses and doctors, free and confidential counseling support through our Healthy Minds program, and career development and training opportunities.

We are an equal opportunity employer and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.