Payments Risk Analyst, Push Payments
Full time
at TN Ireland
in
Online
Posted on February 8, 2025
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129Posted:
21.01.2025Expiry Date:
07.03.2025Job Description:
At Coinbase, our mission is to, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Ready to #LiveCrypto? Who you are:- You’ve got positive energy. You’re optimistic about the future and determined to get there.
- You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web.
- You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
- You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
- You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
- You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
- Implement logic targeting bad actors and high-risk behavior associated with unauthorized deposit activity across multiple regions.
- Review and respond to alerts regarding anomalous customer and transaction behavior.
- Measure fraud performance across payment methods, develop core metrics, and create dashboards to track and understand them.
- Proactively identify and close gaps in our monitoring.
- Own risk controls from end-to-end and scale processes to provide appropriate coverage as we expand our business.
- Own reporting processes and communication with relevant banking partners.
- Work with internal stakeholders in Product, Growth, Data Science and Engineering to develop and drive forward custom risk management strategies and techniques for different geographies.
- Use data to assess risk and make decisions impacting large segments of our customer population; effectively measure and assess associated tradeoffs using quantitative analysis.
- Synthesize data learnings into compelling stories and communicate them to Payments Risk leadership.
- 4+ years relevant experience.
- 2+ years fighting push payment fraud in an e-commerce or financial services environment.
- 2+ years of experience in data analysis, working with databases, and querying (SQL, MySQL, etc.).
- BA / BS degree or equivalent practical experience.
- Strong knowledge of push payment processes and fraud claim investigations.
- A passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and find the root cause.
- Experience in data analyses using SQL.
- Experience with data visualization and storytelling using Looker, Tableau, SuperSet or other business intelligence platforms.
- Be able to independently create plans for analytics projects and build collaboration within the team.
- Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
- Understanding of statistical concepts and experience in applying them.
- Experience working with quantitative tools such as Python or R.
- Experience working with machine learning models.
- An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem.
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