Data Analyst III (Hybrid)

About the role

The Data Analyst III serves as a subject matter expert on maintaining the systems within the Data Science team, responsible for driving operational analytics, regulatory reporting, and fraud and compliance monitoring through high-integrity data delivery. This role owns the data labeling required to transform raw data into structured insights that support client programs, oversight functions, and enterprise decision-making. This analyst is accountable for data labeling, rule building, and tuning recommendations across multiple banking platforms (e.g., Sotera, Visa & MasterCard Fraud tools).

Key Responsibilities

• Owns data labeling and quality control for internal datasets used across fraud, AML, compliance, and partner analytics.
• Creates and manages parameter mapping tools (e.g., Sotera program mapping) to support scalable alerting, spend controls, and exception handling.
• Designs, tunes, and monitors alert logic within real-time fraud systems (Visa, Mastercard, etc.), ensuring thresholds align with compliance and partner agreements.
• Buils and maintains rule-based reporting for internal stakeholders, including FCRM, Financial Ops, Level 1 Testing, Compliance, and Client Services.
• Analyzes cardholder and program-level activity for anomalies and recommends model or rule tuning adjustments to improve detection and reduce false positives.
• 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 to support reproducibility, audit-readiness, and knowledge transfer.
• Trains and mentors junior analysts in technical skills and process knowledge.
• Performs other duties as assigned.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent work experience.
• Minimum 3 years in financial services operations or data analytics, with experience in fraud, AML, or compliance environments.
• Strong SQL, Excel, and reporting tool proficiency (e.g., Business Objects, SAS EG, Sigma).
• Experience with processor data (Galileo, i2c, FIS, etc.) and financial operations logic (e.g., ACH, prepaid, transaction coding).
• Strong understanding of fraud/risk controls, AML monitoring, and banking regulations (e.g., UDAAP, Reg E, BSA).
• Ability to work independently, manage complex data pipelines, and deliver business-ready analytics.
• 3+ years of hands-on fraud, AML, or compliance analytics experience.
• Experience with alert tuning, rule-based models, or automated triage workflows.
• Knowledge of Snowflake, GPP, Bridger, and Actimize preferred.
• Strong documentation, communication, and project collaboration skills.
• No travel required.