Job
Description
Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure. Do you want to be part of a transformational journey at American Express, to realize the potential of our data assets to power the world s best customer experience? The Risk Data team within Risk Products & Data strategy develops and maintains risk data to cater to strategies for Anti-Money Laundering(AML) in addition to managing the structured Risk Data from internal as we'll 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 We are looking for a strategic, experienced individual for the role of Manager, responsible for partnering across business units, enterprise technology teams, and product/platform teams. Develops deep understanding of business logic, intent and long term objectives to align priorities and develop long life solutions. Role & Responsibilities: The Manager in this position will have Anti-Money Laundering(AML) data ownership and governance. The incumbent would be leading a team of 3-4 data analysts and partner closely with credit strategy and compliance teams in building best in class data assets to cater for production use cases and analytical needs, while maintaining strong data governance and quality control framework. The candidate will be responsible for: End to end ownership of all data related to AML across platforms and processes Subject matter expert for the work stream he/she leads with in-depth knowledge of risk systems and processes. Thought leadership for the respective workstream he/she leads Ability to create a strategy and roadmap for the initiatives he/she is leading Responsible for ensuring data engineering principles are applied to each data requirement Risk data ownership for data used in our production use cases and analytics Define data quality controls (like detective, preventive, B&Cs) for batch and real time data & partners with tech teams for implementation Lead the transformation of critical risk data process on the POD platforms to Cornerstone and integrate them into risk systems Lead the development of capabilities to reduce manual operations and prevent operational risk Collaborate with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model Educate stakeholder community on the usage of risk data Reviewing and updating metadata and lineage standards and process guides published by the Enterprise Data Governance team Minimum Qualifications: The position needs to have in depth knowledge of Amex Credit Risk Systems 3-4 years of hands on experience working on large size Capability or Analytical projects Credit/Fraud risk management experience and understanding of credit lifecycle is preferred Advanced Communicator Thought leadership and solution-oriented mindset Ability to think strategically and set POA direction Ability to build strong relationships in a cross-functional environment. Clear, effective written and oral communication skills Strong Analytical Skills Proficient in collaboration to drive results Deep understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc) Preferred experience with Python, Hive, SQL, Hadoop Graduate degree in Computer Science, Mathematics, Statistics or Engineering Proven track record of driving results in a fast-paced environment often with significant ambiguity and needing to make decisions with less than perfect information. Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities
