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Fraud Analyst
4 years ago
About Skillz:
Skillz is driving the future of entertainment by accelerating the convergence of sports, video games and media for an exploding mobile-first audience worldwide. The company’s platform empowers mobile game developers and players with democratized access to fun, fair and skill-based competition for real prizes , shifting the paradigm to make eSports accessible to anyone, anywhere with a mobile device.
Skillz helps developers build multi-million dollar game franchises by turning content into competitive social gaming properties for the world’s 2.6 billion gamers. The company has already worked with 13,000 game developers, leveraging its patented technology to host over 800 million tournaments for 18 million players worldwide.
This year, Skillz was recognized as one of Fast Company’s Most Innovative Companies and CNBC Disruptor 50 (for the second time ). In 2018, Skillz was listed as one of Forbes’ Next Billion-Dollar Startups and Entrepreneur Magazine’s 100 Brilliant Companies . In 2017, Inc. Magazine ranked Skillz the No. 1 fastest-growing private company in America .
The company is backed by leading venture capitalists, media companies, and professional sports luminaries, ranging from Liberty Global, Accomplice, Wildcat Capital, Telstra Ventures, and a founder of Great Hill Partners to the owners of the New England Patriots, Milwaukee Bucks, New York Mets, and Sacramento Kings.
Your Responsibilities:
- Use data to investigate fraudulent transactions and identify trends in fraud and cheat attack vectors
- Work with risk management to build out robust fraud, payments and fairplay reporting
- Query data and create reports, both standardized and ad hoc, to assist the business in risk prevention
- Analyze fraud and chargeback data and provide meaningful, actionable information, enabling the Fraud Team to update or create new alerts
- Create and monitor KPIs around fraud, payments and cheat prevention
- Provide ad-hoc data support to other departments and teams
Your Skillz:
- Degree in math, statistics, engineering, computer science, economics or other quantitative field preferred but not required
- 2+ years experience performing quantitative analysis, preferably in fraud, payments, gaming or cheat prevention
- Proficient in SQL
- Self-starter with a willing attitude and strong communication skills
- Ability to creatively solve unstructured problems independently by developing and applying appropriate analytical frameworks or techniques
- Experience using data visualization platforms and connecting data insights to strategy
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