Risk Analyst Ii, Payment Risk Machine Learning
hace 7 meses
Experience defining requirements and using data and metrics to draw business insights
- Advanced SQL experience
- Bachelor's degree or equivalent
- 4+ years analytical field experience
- Experience with reporting and Data Visualization tools such as Quicksight / Tableau / Power BI or other BI packages
Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?
The Risk Analyst II in Machine Learning Insights (MLI) team is responsible for providing support to Payment Risk ML team. This includes using analytical and business skills to perform ML Model evaluation related deep dives, educating partners on model actions, providing support in UAT, monitoring alerts and much more.
Key job responsibilities
A day in the life
- Provide time sensitive analytics to partner teams
- Deep Dive on ML model decisions using SQL
- Identify root cause and work with partners such as ML teams to develop sustainable solutions
- Automate tasks using dashboards
Calle Blancos, C, CRI | San Jose, CRI | San Jose, SJ, CRI
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Statistical Experience
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San José, San José, Costa Rica Amazon Support Services Costa Rica Srl A tiempo completoJob SummaryWe are seeking a highly skilled Risk Analyst II to join our Payment Risk Machine Learning team at Amazon Support Services Costa Rica Srl. As a Risk Analyst II, you will play a critical role in providing support to our Payment Risk ML team, utilizing your analytical and business skills to perform ML Model evaluation related deep dives, educate...
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Risk Analyst Ii, Payment Risk Machine Learning
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San José, Costa Rica Amazon Support Services Costa Rica SRL A tiempo completoHave you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and...
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