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Riskified

Crypto Fraud Specialist

This role is for a Crypto Fraud Specialist focused on analyzing crypto fraud trends, requiring 3+ years in crypto fraud prevention and 5+ years of analytical experience. Skills in SQL, R, or Python are essential. The position is permanent and remote.
🌎 Country
United States
🏝️ Location
Unknown
📄 Contract
Full-time
🪜 Seniority
Entry level
💰 Range
Unknown
💱 Currency
$ USD
💸 Pay
Unknown
🗓️ Discovered
July 31, 2025
📍 Location detailed
New York, NY
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🧠 Skills
#Fraud Prevention
Role description
About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more. We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role We are looking for a Crypto Fraud Analyst with experience in fraud within the crypto industry.  You will be part of a growing operations team which is responsible for Riskified’s customers’ performance, quick problem-solving, and online fraud prevention in real time. You will take a major part in research and investigation of new online-fraud trends, in a super-dynamic environment, and therefore stand at the forefront of Riskified’s work. You’ll be leveraging your analytical and data analysis skills and knowledge of our product to provide meaningful insights to our enterprise merchants, including direct interaction with customers. What You'll Be Doing • Analyze crypto fraud trends and monitor performance with the goal of identifying fraud trends • Research and explore data, using high level analytical tools in a technical environment • Partner with Data Science and Product to research and develop fraud strategies for the crypto industry • Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences • Work with account managers, meet directly with clients and deliver analytic insights for business questions • Define and execute end-to-end technical solutions for fraud-prevention problems • Cooperate with various teams within Riskified to enhance processes and meet customers’ needs Qualifications • 3+ years working in Crypto and ACH fraud prevention • 5+ years of relevant strong analytical experience with complex data • Deep understanding of Cryptocurrency and Blockchain - various cryptocurrencies, blockchain technology, meme coins schemes, ICO scams. • Hands-on work experience with SQL\ R\ Python - a must • Experienced problem solver and critical thinker • Great written and verbal communication skills • Ability to work simultaneously on different tasks and lead multiple projects • Experience with Plaid or Trustly data - a plus • Knowledge of Regulatory Landscape and KYC processes - a plus • Certifications: CCAS or CCFI - a plus In the News Reuters: General Atlantic-backed Riskified valued at $4.3 bln in NYSE debut Fortune Magazine: Riskified named Best Workplaces in New York for 2022 The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer Globes: Riskified is among Israel’s fastest growing companies TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.