- 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
- 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
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Statistical Experience
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Risk Analyst II, Payment Risk Machine Learning Insights - San José, Costa Rica - Amazon Support Services Costa Rica SRL
Encontrado en: Talent CR S2 - hace 5 días
Descripción
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?Our mission in Buyer Risk Prevention (BRP) is to make Amazon the safest place to transact online.
BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers.
As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in
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 responsibilitiesRisk Analyst II will own analytical deep dives to help explain variances related to ML model performance. They will provide analytical support to ML teams, Program Managers and other cross-functional partners. Overtime they will automate the tasks by using scalable solutions. They will partner with ML teams while mitigating emerging fraud patterns.
The successful candidate will demonstrate an ability to thrive in a fast-paced and challenging environment, partner with stakeholders across multiple domains, and execute on our transition roadmap.
A day in the lifeCalle Blancos, C, CRI | San Jose, CRI | San Jose, SJ, CRI
BASIC QUALIFICATIONS
