Amex
Gurgaon
Financial Transaction Processing
You Lead the Way. We’ve Got Your Back.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
Functional Description:
This position will be part of a fast-paced & innovative team within Enterprise Digital and Data Solutions (EDDS). EDDS team drives innovation, delivering products and solutions across the entire lifecycle of customers, partnering with other Business Units and Centers of Excellence and advancing our goal of becoming an essential part of our customers’ digital lives. A key part to accomplishing this vision, is knowing our customers (individuals and businesses) and having a holistic understanding of them. The role is an integral part of EDDS and supports Customer 360, an AXP-wide capability that provides a global enterprise view of entities (that have or had an American Express relationship with at least one product or service globally), comprehensive insights and linkages. This is fundamentally reshaping our ecosystem and the way we engage with our customers by leveraging industry leading Amex data assets, next-gen machine learning algorithms and Big Data environment.
Purpose of the Role:
We are seeking a data science professional and problem-solver to serve as AnalystData Science and Analytics, C360. Key responsibilities for this role would be development of advanced matching algorithms/frameworks and arbitration strategies as well as serving analytical needs for C360. Part of this role will be to work with platform owners for deployment of data science solutions to improve customer matching globally, enrich data and enhance accuracy to drive Amex economics in various areas – marketing, new accounts acquisition and onboarding, risk management, customer servicing, customer management, credit & collections etc.
Job Responsibilities
- Conceptualize and develop advanced matching algorithms and frameworks for entity resolution (Individual and Business) globally
- Create frameworks and solutions to capture cross-customer linkages and networks
- E2E ownership of analytical needs for the product
- Monitor and analyze data quality and intelligence that is generated by algorithms
- Develop systematic way to identify gaps in existing algorithms and processes
- Provide thought leadership to product owners and tech leads on platform architecture to ensure seamless deployment of data science solutions
- Partner with product owners and tech leads to deploy data science solutions in an Agile environment
- Maintain an external lens to inform decisions and business strategies
- Lead new initiatives, prepare project plans and other supporting information.
Academic Background:
Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.)
Past Experience:
- 0-2 years of hands-on experiences in ML/AI modeling or application.
- 0-2 years of practical experience in designing and managing automation process
- Team player with strong communication skills
Behavioural areas:
Enterprise Leadership Behaviours
- 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
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.
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