Risk Manager
Il y a 2 mois
We are seeking a highly skilled Risk Manager to join our Data Services Management team at Amazon Europe. As a Risk Manager, you will be responsible for building and maintaining complex data management and analytics solutions across Europe, Middle East, and Africa (EMEA).
Key Responsibilities- Manage and lead business intelligence and data analytics projects with limited guidance.
- Apply statistical and mathematical techniques to analyze large datasets, identify trends, patterns, and insights.
- Build and implement statistical models for predictive analytics.
- Ensure the optimization and efficiency of business intelligence processes.
- Act as a subject matter expert for business intelligence tools, methodologies, and provide technical leadership in troubleshooting business intelligence issues.
As a Risk Manager, you will work closely with the Security and Loss Prevention team to build and maintain scalable and efficient data management and analytics solutions. Your responsibilities will include managing and leading complex business intelligence and data analytics projects, driving initiatives that impact organizational goals and metrics, and leading the design and implementation of business intelligence solutions.
About the TeamThe Data Services Management team is a support function to Security and Loss Prevention, responsible for building data management and analytics solutions to provide the right information at the right time. This includes providing data-driven decision-making solutions that help Security and Loss Prevention identify, prioritize, initiate, and conduct successful investigations in different business lines. The team builds solutions to forecast losses, simulate, and measure the impact of security-related measures to enable Security and Loss Prevention to proactively address security-related risks.
Basic Qualifications- Bachelor's degree or equivalent.
- Relevant advanced experience building complex SQL queries with large-scale datasets.
- Relevant advanced experience building products on data visualization tools (e.g., QuickSight, PowerBI, Tableau).
- Relevant advanced experience with data modeling, warehousing, and building ETL pipelines.
- Relevant advanced experience with scripting languages (e.g., Python, Java, or R).
- A relevant advanced degree or advanced degree equivalent.
- Relevant advanced experience with multiple Python libraries.
- Relevant advanced experience creating, deploying, and maintaining machine learning models.
- Relevant advanced experience with AWS solutions such as S3, Lambda, SageMaker, Redshift.
- Understanding of statistical methods (e.g., t-test, Chi-squared).
We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
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