Data Analyst III (Hybrid)

Innovative Bancorp; Sioux Falls (SD); Hybrid; USD 70,000 - 90,000; Full time

Job summary

The Bancorp Bank, N.A. is seeking a Data Analyst III for a hybrid role in Sioux Falls, SD. The ideal candidate will manage data labeling, quality control, and alert logic across fraud, AML, compliance, and partner analytics to support enterprise decisions.

Responsibilities include designing scalable mappings, tuning real-time fraud thresholds, and building rule-based reports for multiple internal teams while mentoring junior analysts and ensuring audit-ready data processes.

Qualifications

• Bachelor's degree in a quantitative field or equivalent work experience.
• Minimum 3 years in financial services operations or data analytics, with fraud/AML/compliance experience.
• Strong SQL, Excel, and reporting tool proficiency (Business Objects, SAS EG, Sigma).
• Experience with processor data (Galileo, i2c, FIS) and financial operations logic (ACH, prepaid, transaction coding).
• Strong understanding of fraud/risk controls, AML monitoring, and banking regulations (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.

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.
• 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.
• Leads data labeling, triage, and feedback loop cycles in Sotera for ongoing tuning improvements.
• 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.

Skills

SQL

Excel

Data labeling

Fraud/AML knowledge

Documentation

Education

Bachelor’s degree in a quantitative field

Tools

Sotera

Snowflake

Bridger

Actimize

Business Objects

SAS EG

Sigma

Job description

Data Analyst III (Hybrid) – Sioux Falls, SD – Full Time

Position Summary

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

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.
• 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.
• Leads data labeling, triage, and feedback loop cycles in Sotera for ongoing tuning improvements.
• 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.

Qualification Requirements

• 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.

Employment requires successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.

The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.