Remote
$68k–$112k
middle
2 months ago
full-time
quality 8.5/10
- 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.
- 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.
- 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.
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