Data Analyst III (Hybrid)
Core
Subject matter expert maintaining data science systems, driving operational analytics, regulatory reporting, and fraud/compliance monitoring through high-integrity data delivery and data labeling.
Role type
Senior IC data analyst (fraud/risk)
Builds
Production rule-based reporting, alert logic, and data labeling pipelines for fraud and compliance systems
Domain
Financial services / Fraud detection and regulatory compliance
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Excel, reporting tools (Business Objects, SAS EG, Sigma), data labeling, rule building, alert tuning, financial operations logic (ACH, prepaid, transaction coding), fraud/risk controls, AML monitoring, banking regulations (UDAAP, Reg E, BSA)
Preferred skills
Snowflake, GPP, Bridger, Actimize, alert tuning, rule-based models, automated triage workflows
Responsibilities
Own data labeling and quality control for internal datasets used across fraud, AML, compliance, and partner analytics. Creates and manages parameter mapping tools to support scalable alerting, spend controls, and exception handling. Designs, tunes, and monitors alert logic within real-time fraud systems. Builds and maintains rule-based reporting for internal stakeholders. Analyzes cardholder and program-level activity for anomalies and recommends model or rule tuning adjustments. Leads data labeling, triage, and feedback loop cycles. Serves as SME for system data flows related to processor files, Sotera, Snowflake, and other core platforms. Documents all procedures, processes, logic, and report structures. Trains and mentors junior analysts in technical skills and process knowledge.
Seniority
Mid-Senior, hands-on IC
