Fraud Prevention Analyst II

6 days ago

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Coinbase

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Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

Digital Currency • Software • Payment Processing • Bitcoin • Technology

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

•Ready to be pushed beyond what you think you’re capable of? •At Coinbase, our mission is to increase economic freedom in the world. •It’s a massive, ambitious opportunity that demands the best of us, every day. •To achieve our mission, we’re seeking a very specific candidate. •We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology. •Payments Risk Analytics takes a data-driven approach to manage fraud at scale. •As a Payments Risk Analyst, you will be tasked with performing both routine and intensive analyses to assess risk, monitor performance, and mitigate payment fraud globally. •You will work closely with others to deliver a best-in-class risk-adjusted payment experience.

🎯 Requirements

•4+ years fraud prevention experience on an analytics team •2+ years fighting fraud in an e-commerce or financial services environment •2+ years of experience in data analysis, working with complex databases, and querying (e.g., SQL, MySQL, etc.) •Experience with statistical modeling, machine learning, A/B testing, causal inference, etc. •Experience in at least one programming language (preferably Python). •Experience using business intelligence tools (e.g., Looker, Tableau, Superset) to create meaningful visualizations, tell effective stories, and drive change •Demonstrated passion for fraud investigations •Functional knowledge of common fraud patterns •Endless curiosity to seek out anomalies and get to the core of a problem •A broad understanding of card payments, chargeback lifecycles, Visa operating rules, and card fraud vectors •Experience with PayPal disputes and Purchase Protection •The ability to prioritize and make quick decisions under tight deadlines

🏖️ Benefits

•target bonus •target equity •medical •dental •vision •401(k)