Own and steward key fraud and credit data sources used for analytics, reporting, and operational decisioning ensuring datasets are accurate, complete, and delivered on time in alignment with SLAs
Design, develop, and maintain fraud analytics solutions and data processes using SAS (batch and/or real-time workflows, as applicable)
Build and optimize data pipelines, queries, and analytical datasets to enable fraud detection, investigation, and reporting
Demonstrated experience scheduling, monitoring, and troubleshooting production jobs and batch processes
Monitor and validate critical feeds (upstream/downstream), perform reconciliations and data quality checks, and drive resolution of data issues impacting fraud and credit performance
Establish and maintain controls to ensure timely availability of recurring datasets (daily/weekly/monthly), including proactive outage prevention, alerting, and rapid triage during incidents
Partner with Data Engineering/Technology teams to maintain data definitions, mappings, lineage, and documentation for high-impact fraud/credit datasets
Support large-scale migrations, including requirements gathering, data validation, parallel testing, and production cutover support
Perform other duties and/or special projects as assigned

7-10 years hands on experience building and managing comprehensive data infrastructure serving a wide base of constituents focusing on Management Reporting, Strategy and Analysis, and Operational Performance Management
5+ years of hands-on SAS experience
Strong SQL skills and experience working with large datasets in enterprise environments
Minimum 5+ years of experience in Financial Services, with a focus on Fraud detection, prevention, and investigation
Demonstrated experience working in a fast-paced environment with shifting priorities and tight timelines
Ability to design, support, and optimize complex end-to-end flows (multi-step dependencies, upstream/downstream integrations, SLA management, reruns/recovery procedures)
Strong understanding of KPI’s and ability to tell effective stories connecting KPI trends to business drivers
Advanced dashboarding skills and experience in using Tableau or Sas Visual Analytics
Bachelor's degree a in STEM field such as Mathematics, Statistics, Analytics, or any Quantitative field (preferred)

flexibility to work from home near one of the Hubs or come into one of the offices
required to commute to your nearest Hub for in-person engagement activities

VP, Enterprise Fraud Analytics, Reporting

Key skills