About the Role We are seeking a detail-oriented Risk & Fraud Analyst to help protect the integrity of our platform and support sustainable business growth. This role will focus on identifying and preventing fraudulent activity, reducing financial and operational risk, and strengthening compliance processes across payments, promotions, and customer accounts. The ideal candidate brings strong analytical skills, experience in fraud operations, and the ability to proactively develop scalable solutions in a fast-paced environment.
Key Competencies - Deep understanding of fraud vectors within social sweepstakes and social casino ecosystems, including multi-accounting, bonus abuse, chargeback farming, and redemption laundering patterns
- Strong analytical and investigative mindset with the ability to identify emerging fraud trends and implement scalable mitigation strategies
- Expertise in payment fraud prevention, chargeback management, and transaction risk analysis within high-volume consumer platforms
- Ability to design, optimize, and operationalize fraud detection rules, risk-scoring frameworks, and manual review processes
- Proficiency in interpreting device fingerprinting, identity graphing, and behavioral risk signals to detect linked or synthetic accounts
- Strong cross-functional collaboration skills, with the ability to partner effectively across Payments, Compliance, Legal, Trust & Safety, Customer Support, and Data Science teams
- Knowledge of KYC, AML, and US regulatory compliance considerations relevant to online gaming or sweepstakes environments
- Excellent communication skills with the ability to translate complex fraud findings into actionable business recommendations
Experience - 3-5 years of fraud analytics or fraud operations experience, including at least 2 years within US social sweepstakes, social casino, real-money gaming, or similarly regulated digital platforms
- Hands-on experience with fraud prevention and risk platforms such as Fingerprint.com, Sift, Forter, Ethoca, Verifi RDR/CDRN, or similar tools
- Advanced SQL proficiency with experience analyzing transactional and behavioral datasets at scale
- Experience building or supporting fraud reporting dashboards and operational analytics using Tableau, Looker, or equivalent BI tools
- Demonstrated success reducing fraud-related losses, lowering chargeback ratios, and preventing promotional or bonus abuse
- Experience partnering with Data Science or Engineering teams to support machine learning models, automated risk scoring, or fraud decisioning systems
- Bachelor's or Master's degree in Analytics, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field preferred
Location: remote, USA
Travel Requirement: Less than 10%
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