Data Analyst III (Hybrid)

After the initial training period, this is a hybrid role, working onsite in our Sioux Falls, SD office.

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). The ideal candidate is both technically skilled and operationally aware—capable of bridging gaps between business rules, systems design, and real-time fraud/risk detection.

At The Bancorp, we’ve spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.

Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.

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.

Builds 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.