Analyst - Product Development

American express

Ex: 1 - 3 years of experience

Full Time

Bangalore,India

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. We back our colleagues with the support they need to thrive, professionally and personally. That’s 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. Function Description: Credit and Fraud Risk Capability” team is a new “tech startup” within the Credit and Fraud Risk Management organization at American Express – created with the mission of building the next generation of Credit and Fraud Risk management systems, designed for long-term adaptability to keep pace with emerging technologies and a dynamic competitive landscape. Purpose of the Role: This position will play a central role in grooming the new/ changes to existing variable requirements that need to be implemented in Credit Authorization platform spanning across all markets and all portfolios (CPS, OPEN & GCP). Additionally, the incumbent would also be responsible for analysis of Credit Authorization System data (data steward) in Cornerstone. Responsibilities: • End to end ownership of all credit and fraud risk authorization data across platforms and processes • Data profiling of the variables in Credit and Fraud risk Organized Data Layers to enable seamless ingestion to CAS • Implementation of CAS derived variables that will be used in Production use cases and Analytics • Collaborate with cross-functional partners across Decision Sciences and Credit Risk Management 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 portfolios. • Define and manage Data quality control measures for CAS variables. • 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 in to Risk Data Management. • Partner with IDN and AET in driving the implementation of new capabilities and enhancing the existing processes 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: 1 - 3 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 consumer and commercial 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 • Ability to communicate and interact effectively with internal and external senior leaders • 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 with a minimum one year of work experience Knowledge of Platforms: • Hadoop • Big Data 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

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