Payments Risk Analyst II
8.0/10
Coinbase
$68,000 – $112,000 USD
Remote
mid
about 1 month ago
May be outdated
cryptofintechriskdata analysisSQLMySQLfraud detectiondata visualizationLookerTableauPythonR
AI Summary
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Description
What you'll do
- •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.
Conditions
- •Competitive salary range of $68K-$112K
- •Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
- •In-person participation is required throughout the year with team and company-wide offsites held multiple times annually.
Requirements
- •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.
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