Business Analyst II - Fraud

Summary

PrizePicks is a rapidly growing Daily Fantasy Sports platform serving a diverse range of sports leagues. The company is seeking a data-driven Business Analyst II to join its Fraud Analytics team, where the role will analyze transactional data, identify fraud trends and risks, and provide recommendations that protect the platform while preserving the experience for legitimate users.

Responsibilities

• Deliver analytical work that actually moves the needle — protecting the platform while making the experience better for good players
• Build, document, and maintain easy-to-use, insightful dashboards and reusable analyses that monitor fraud performance and key risk indicators
• Distill complex datasets into recommendations with clear visualizations and concise talking points for non-technical stakeholders
• Partner with Engineering, Fraud Ops and Product to identify and close data, performance, and process gaps
• Conduct deep-dive analyses to support fraud-related business decisions with data-driven insights and recommendations
• Scope and complete ad-hoc data requests around fraud trends and product initiatives

Skills

• * Bachelor's degree or equivalent experience in Statistics, Finance, Mathematics, Analytics, or a related field
• * 2+ years of experience in risk analytics, fraud detection, or a related data-focused field, preferably within online gaming, Daily Fantasy Sports, or fintech
• * Working understanding of common fraud vectors in an online transactional environment (payment fraud, identity fraud, bonus abuse, etc.) and how fraud controls can impact legitimate user experience
• * Advanced SQL for extracting, manipulating, and analyzing data
• * Data visualization experience (e.g., Tableau)
• * Strong Excel skills
• * Excellent communication skills, with the ability to explain complex concepts to non-technical audiences
• * Detail-oriented with a high standard for accuracy in data analysis and reporting
• * Judgment to balance fraud risk against player experience — knows that over-blocking good players is its own kind of cost
• * Organized, reliable, curious, and growth-oriented team player
• * Demonstrated ability with data-driven critical thinking, problem-solving, and recommendations
• * You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
• * While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
• Python experience a plus (automation, modeling, or statistical analysis)

Qualifications

Must Haves

• * Bachelor's degree or equivalent experience in Statistics, Finance, Mathematics, Analytics, or a related field
• * 2+ years of experience in risk analytics, fraud detection, or a related data-focused field, preferably within online gaming, Daily Fantasy Sports, or fintech
• * Working understanding of common fraud vectors in an online transactional environment (payment fraud, identity fraud, bonus abuse, etc.) and how fraud controls can impact legitimate user experience
• * Advanced SQL for extracting, manipulating, and analyzing data
• * Data visualization experience (e.g., Tableau)
• * Strong Excel skills
• * Excellent communication skills, with the ability to explain complex concepts to non-technical audiences
• * Detail-oriented with a high standard for accuracy in data analysis and reporting
• * Judgment to balance fraud risk against player experience — knows that over-blocking good players is its own kind of cost
• * Organized, reliable, curious, and growth-oriented team player
• * Demonstrated ability with data-driven critical thinking, problem-solving, and recommendations
• * You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Nice to Haves

• * While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
• Python experience a plus (automation, modeling, or statistical analysis)

Benefits

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development