Job Location: Gurgaon
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.
How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path.
Purpose of the Role:
- This is an onboarding data steward position. The analyst will play a central role in owning the data in Cornerstone for global credit risk spanning across all markets and portfolios.
Responsibilities:
- End to end ownership of all Onboarding Risk (Credit & Fraud) data across platforms and processes
- Ingestion of SOR data of all Onboarding Risk data sources
- Develop and Maintain onboarding data assets like Organized Data Layers, TPDG (Third Party Data Gateway), RDE (Risk Decision Engine) to cater for both production use cases and analytical needs
- Collaborate with cross-functional partners across different risk capability teams to design innovative solutions, capture requirements and drive a common future vision.
- Partner closely with Strategy and Modeling teams in building incremental intelligence, with strong emphasis on maintaining globalization and standardization of attribute calculations across markets and portfolios.
- Define and manage Data quality control measures for Onboarding data.
- Co-ordinate with cross functional business groups in driving Onboarding data assets development.
- Partner with Tech teams in designing and building next generation data quality controls.
- Transformation of critical data process on the POD platforms to Cornerstone and integrate them into RDM (Risk Data Management)
- End to end ownership of Modeling Data Capabilities for all markets and portfolios
Qualification
Critical Factors to Success:
Business Outcomes:
- Develop, enhance, and maintain risk capabilities for business intelligence & automated data quality by enhancing modelling and credit bureau capabilities across customer life cycle
- Drive capabilities innovation & resultant business growth by applying existing & emerging technologies to deliver against customer goals
- Lead the development of Cornerstone implementation by being the data steward for centralized data definitions providing the next generation of data warehouse for the company.
Leadership Outcomes:
- Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Lead with an external perspective, challenge status quo, and bring continuous innovation to our existing offerings
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity
- Lead with a digital mindset and deliver the world’s best customer experiences every day.
Past Experience:
- 0-2 years of experience
Academic Background:
- Minimum of Master’s/Bachelor’s degree in mathematics, statistics, engineering, computer science, or another related field of study.
Functional Skills/Capabilities:
- Deep expertise in onboarding risk management encompassing knowledge of data, processes, and systems
- Ability to build strong relationships, operate effectively within large cross-functional teams, and influence business partners to drive change
- Demonstrated ability to think outside the box and design industry leading solutions
Technical Skills/Capabilities:
- Expertise in Big Data, Hive, SQL and Agile development.
- Good programming skills – Java, Python, Spark and Hadoop Knowledge of Platforms:
- Hadoop
- Big Data
- Amex Database – Cornerstone, IDN, RDM
Behavioral Skills/Capabilities:
- 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.
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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