Role in brief
Coinbase is seeking a Payments Risk Analyst II to identify and mitigate payment fraud while enhancing customer experience. This remote role is suitable for candidates with a strong background in data analysis and fraud prevention, particularly in e-commerce or financial services.
✓ Direct apply: you message the hiring person by email. No ATS.
About the role
In this role, you will be responsible for identifying and investigating fraudulent deposit activities. You'll implement strategies to target high-risk behaviors and assess risks using data analysis, impacting large segments of Coinbase's customer base.
Collaboration is key as you will work with various internal teams to develop risk management strategies tailored to different regions. Success in this position means effectively communicating data insights and continuously improving fraud detection processes.
The base salary for this role ranges from $102,000 to $110,000, with potential equity and bonus eligibility.
Skills that matter here
- SQL: You will use SQL for querying databases and conducting data analyses.
- data analysis: This role requires strong data analysis skills to assess risk and inform decision-making.
- data visualization: You will synthesize data findings into compelling stories using visualization tools.
- Looker: Experience with Looker is essential for creating dashboards and reporting insights.
- Tableau: Tableau will be used for data visualization and storytelling within the team.
- Python: Python may be utilized for data analysis tasks and automation.
Who this role suits
- Candidates should have a background in fighting payment fraud, preferably in e-commerce or financial services.
- A passion for data analysis and a proactive approach to problem-solving are essential.
- The ideal person thrives in a fast-paced environment and values clear communication and continuous learning.
- Experience with generative AI tools is a plus, reflecting a willingness to adapt to new technologies.
From the employer
What you’ll be doing:
- Identify, investigate and mitigate fraudulent deposit activity.
- Implement logic targeting bad actors and high-risk behavior associated with unauthorized deposit activity across multiple regions.
- 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.
- 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.
What we look for in you:
- 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 (e.g., SQL, MySQL, etc).
- BA / BS degree or equivalent practical experience
- Strong knowledge of pull payment processes and experience with fraud claim investigations
- A passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and conduct root cause analysis
- Experience in data analyses using SQL and Databricks.
- 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
- Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Pay Transparency Notice:
- The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
- Annual base salary range (excluding equity and bonus): £85,320—£94,800 GBP
- Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Questions about this role
What is the remote policy?
This position is remote, specifically for candidates in the UK.
What is the required experience level?
Candidates should have at least 4 years of relevant experience.
How do I apply?
Candidates can submit a maximum of four applications within any 30-day period.
✓ Direct apply: you message the hiring person by email. No ATS.