"I began working at American Express in 2007 through a campus recruitment program. I now lead a team managing business intelligence tools and platforms, creating data capabilities and insights for measuring the performance of acquisition channels, marketing campaigns, cobrand products & Digital experience channels. It’s been exciting and rewarding!"

Neha Singh
Vice President, Enterprise Business Intelligence Engineering

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American Express - Analyst/Senior Analyst

Analyst / Senior Analyst - Product Development (Ref: 22002889)

You Lead the Way. Weve 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 were 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 whats possible ; and were 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. We back our colleagues with the support they need to thrive, professionally and personally.

- Thats why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

- As part of Credit and Fraud Risk capabilities Team, we help drive profitable business growth by reducing the risk of fraud and maintaining our customers' confidence in the security of our products. It utilizes an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience.

- This exciting position is within the Credit & Fraud Risk Capabilities, Gurgaon, as the member responsible for building and maintaining the in-house applications that support best-in-class model implementation journeys for Credit and Fraud Risk models ; globally to mitigate risks to the AXP brand, customer experience and Bank Holding Company status.

- The Business Logic Management within Risk Products & Data Strategy implements Strategies across Onboarding (Credit & Fraud), Customer Management & Authorization, in addition to managing the structured Risk Data from internal as well as external sources.

- This team is responsible for defining and driving the transformation and modernization of risk management products across risk technology platforms. Our teams have technical and communication skills that enable them to work with cross-functional teams in various domains across the company including Risk Strategy, Servicing, Product Management, Decision Sciences and Technology.

- We develop, and design logic used in risk management automation that is durable, scalable, easy to deploy and transparent to business strategy partners in real-time and batch environments.

- The Risk Data team within Risk Products & Data strategy develops and maintains risk data to cater to strategies across Onboarding (Credit & Fraud), Customer Management & Authorization, regulatory in addition to managing the structured Risk Data from internal as well as external sources.

- The team is responsible for applying data engineering principles to data requirements with a strong focus on data governance and data quality.

- We lead the transformation of critical risk data process on the legacy platforms to modern platforms and integrate them into risk systems.

- Our team collaborates with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model

Responsibilities :

The responsibilities include, but are not limited to :

The Business Logic Management :

i. Develop and Deploy Risk Products like Business Logic Management, Data Derivation/Ingestion, Data Quality and Business Intelligence.

ii. Work in a scrum team environment with Scrum Master, Product Owner and peers to develop and deploy logic Work on proprietary Cornerstone/Risk platforms using Big Data Tools and Framework including but not limited to Hive, SQL, Spark, ETL.

iii. Correlate requirements to the impact of logic to cardmembers and perform unit and end-to-end testing

iv. Contribute into evaluating and/or developing right tools, common components, and capabilities

v. Develops deep understanding of business logic, intent and long term objectives to align priorities and

develop long life solutions.

vi. Identifies opportunities to adopt innovative technologies

vii. Provides continuous support for ongoing application availability

viii. Participate and contribute in scrum demo, grooming, and retrospectives

Risk Data Teams :

i. Responsible for applying data engineering principles to data requirements

ii. Develop and maintain risk data to cater for both Production use cases and Analytics

iii. Define data quality controls (like detective, preventive, B&Cs) for batch and real time data and partner with tech teams in designing and building these controls. Responsible for timely validation, tracking and closure of quality control checks

iv. Contribute to development of capabilities to reduce manual operations and prevent operational risk

v. Analyze large volumes of data (with millions/billions of records) to effectively verify needs of new build and deal with arising anomalies in existing variables

Critical Factors to Success :

Business Outcomes : Drive capabilities innovation & resultant business growth by applying existing & emerging technologies to deliver against customer goals

Leadership Outcomes :

- Put enterprise thinking first, connect the roles 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

Academic Background :

- Graduate/Post Graduate in Computer Science or related streams

- Past Experience ; 0 to 6 years relevant experience preferred

Functional Skills/Capabilities :

- Understanding of Project Management

- Advanced data manipulation techniques

- Understanding of data/modelling/analytics/ETL concepts

- Strong knowledge of SQL is a must

Technical Skills/Capabilities :

- Hive / SQL

- Strong SQL skills

- 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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