American Express is looking to optimize risk decisions through the lifecycle by exploring, evaluating, testing and integrating internal data with external data assets. The team also manages data, strategy, and relationships with key third party data providers to support risk products in new accounts, customer management, and collection practices. The team also serves as a critical channel for the exploration of new data opportunities for the firm.
Requirements
- Strong technical skills to perform data evaluation, analytics, and matrices tracking/reporting
- Knowledge of Python, SQL, Spark, SAS, and familiar with big data and cloud environments
- Knowledge of commercial underwriting or credit data ecosystem preferred
Responsibilities
- Analyze existing and new data sources to uncover opportunities that will optimize our data solutions & purchases and address business needs
- Own third party relationships and manage all aspects of relationship including data quality and relationship monitoring, product performance, data testing/use cases and contract negotiations
- Develop innovative and impactful data driven insights and analytics through our strategic partnerships to drive business growth and credit & fraud risk management excellence
- Develop metrics to deliver strong controls and insights
- Collaborate with colleagues across CFR Data Strategy, Product Owners, Compliance, CFR Commercial Risk and Decisions Science to successfully design, implement, monitor, and govern strategies related to external data
- Collaborate with external strategic partners to influence data product development
- Be able to handle urgent escalations and time sensitive risk events.
Other
- Lead and support US commercial data strategy across the customer lifecycle through structured and risk-based principles.
- Influence, lead and communicate across a broad range of audiences, including internal and external senior leadership
- 5+ years of experience in a financial services organization in data or strategy function
- Demonstrated ability to work independently and across a matrixed organization to deliver solutions at top speed
- Ability to manage and lead large scale projects with multiple cross functional partners
