Risk and Payments Internship- Spring 2027

Rush Street Interactive (RSI) is a fast-growing online casino and sportsbook operator in a highly regulated and evolving industry. Our Risk and Payments department protects the business and our players across payments, fraud prevention, and KYC processes. As a Risk and Payments Intern, you will rotate through the Risk and Payments and Fraud teams, taking on analytical and process-focused work that complements the effort of our team today. You will receive structured training and work alongside experienced analysts. This is a hybrid position based in Collingswood, NJ.

What You'll Do:

• Build, maintain, or optimize dashboards and reports in SQL to support data-driven decision-making across the department. 
• Analyze withdrawal and transaction data to identify trends and volume spikes that help the team prioritize workload. 
• Contribute to the analysis of fraud trends and assist in implementing mitigation strategies. 
• Assist the senior fraud analysts with monitoring trends of ongoing fraud groups as needed. 
• Learn and take ownership of designated daily monitoring reports. 
• Review flagged accounts against defined criteria and escalate anything that falls outside those criteria. 
• Support chargeback process improvements, including updating the dispute report template and compiling stakeholder feedback. 
• Compare SOPs and escalation guidance across the Risk and Payments, Fraud, and Customer Support teams to identify gaps and redundancies. 
• Gather feedback from analysts on existing reports and tools and compile it into actionable recommendations. 
• Participate in training sessions and provide support to other members of the Risk and Payments department as directed. 
• Follow SOPs, internal controls, and applicable regulatory requirements. 
• All other duties as assigned. 

What You'll Bring:

• Currently enrolled undergraduate student in Data Analytics, Statistics, Business, Finance, Computer Science, Criminal Justice, or a related field. 
• Working knowledge of SQL gained through coursework, academic projects, or prior experience. 
• Experience with data analysis, including projects involving statistical analysis of datasets. 
• Interest in fraud mitigation and fraud investigations. 
• Proficiency with Microsoft Excel and the Microsoft Office suite. 
• Strong written and verbal communication skills. 
• Detail-oriented and organized, with the ability to manage multiple tasks in a fast-paced environment. 
• Availability to work 15-28 hours per week for 12 weeks beginning in January. 
• Familiarity with JavaScript or data reporting tools such as Looker is a plus. 
• Must be able to obtain and maintain gaming certifications or licenses as required.