Fraud Intern

What You’ll Do
Monitor & triage: Review system generated alerts and transaction/activity queues to identify potential fraud patterns and escalate as needed.
Investigate: Gather evidence, document findings, and prepare concise case summaries to support decisions and recovery efforts.
Analyze data: Use Excel (and, where applicable, SQL/Python) to perform basic analyses, trend suspicious behaviors, and quantify impact.
Reporting: Assist with weekly/monthly metrics, dashboards, and retrospective reports on fraud trends and control effectiveness.
Process improvement: Capture edge cases, propose rule or workflow improvements, and help test updates with the team.
Collaboration: Partner with Customer Support to resolve cases and with Compliance to ensure procedures align with policies and regulatory expectations.
Documentation: Maintain clear, organized records in case management tools and contribute to playbooks/standard operating procedures (SOPs).

What You’ll Learn
Common fraud typologies (e.g., payment fraud, account takeover, promo abuse, identity fraud) and how they surface in the data.
How rule based systems, machine learning models, and manual review work together in a layered defense.
Practical skills in alert triage, evidence gathering, decision rationale, and communication with stakeholders.

This position must work on-site in Jefferson City, Missouri. Relocation expenses are not offered. 

Current student or recent graduate in Finance, Business, Data/Analytics, Economics, Criminal Justice, Cybersecurity, Computer Science, or a related field.
Strong analytical mindset and attention to detail; comfortable working with numbers and structured data.
Proficiency with Excel/Google Sheets (filters, pivot tables, VLOOKUP/XLOOKUP).
Clear written communication for documenting investigations and preparing summaries.
Integrity, discretion, and respect for customer privacy and sensitive data.

Preferred Qualifications (Nice to Have)
Basic knowledge of SQL (SELECT, JOIN, GROUP BY) or Python (pandas) for exploratory analysis.
Exposure to fraud/Risk concepts (e.g., KYC, chargebacks, device/behavioral signals, velocity checks).
Prior internship, campus project, or certification related to risk, compliance, or data analysis.

Tools You May Use
Excel/Sheets, SQL/Python (training provided as needed)
Case management and ticketing systems
Data visualization (e.g., Looker/Tableau/Power BI)
Collaboration tools (e.g., Teams/Slack, Confluence/SharePoint)

Success Metrics
Accuracy and consistency of case decisions
Timeliness of alert triage and escalation
Quality of documentation and communication
Contributions to process improvements and team knowledge base