Risk Specialist I, FIRE P, SPIV Other Operations-Var
Amazon.com
Fraud Identification Remediation and Enforcement (FIRE) team sits within the Seller Lifecycle Management (SLM) org which is a part of broader Selling Partner Identity Verification (SPIV) org. The team investigates seller accounts to understand the identity operating the account and we take necessary actions when we find that the identity is risky and can cause negative downstream customer and/or financial impact to Amazon. We are looking for Risk Specialist to identify bad actors operating with risky identity and generate insights to help CTPS understand where bad actors are prioritizing their efforts.
Key job responsibilities
Our ideal candidate should have an experience in bad actor investigations , risk mining, identifying new patterns across seller lifecycle, authenticating the fraudulent documents, have SQL knowledge for risk mining activities and work with data science / analytics team to create heuristic risk models and consistently feed the leanings.
A day in the life
The right candidate earns trust through outstanding performance, effective communication skills, and a record of delivering results timely and effectively. This involves risk mining, identifying new patterns, measure identity level risks and imply necessary action accordingly.
- Provide data analysis & conduct investigations
- Pull data from numerous databases (using Excel, SQL and/or other database) and to perform ad hoc reporting and analysis as needed
- Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends
- Understand the business impact of the trends and make decisions that make sense based on available data
- Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
About the team
Fraud Identification Remediation and Enforcement (FIRE) team sits within the Seller Lifecycle Management (SLM) org which is a part of broader Selling Partner Identity Verification (SPIV) org. The team investigates seller accounts to understand the identity operating the account and we take necessary actions when we find that the identity is risky and can cause negative downstream customer and/or financial impact to Amazon.
Key job responsibilities
Our ideal candidate should have an experience in bad actor investigations , risk mining, identifying new patterns across seller lifecycle, authenticating the fraudulent documents, have SQL knowledge for risk mining activities and work with data science / analytics team to create heuristic risk models and consistently feed the leanings.
A day in the life
The right candidate earns trust through outstanding performance, effective communication skills, and a record of delivering results timely and effectively. This involves risk mining, identifying new patterns, measure identity level risks and imply necessary action accordingly.
- Provide data analysis & conduct investigations
- Pull data from numerous databases (using Excel, SQL and/or other database) and to perform ad hoc reporting and analysis as needed
- Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends
- Understand the business impact of the trends and make decisions that make sense based on available data
- Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
About the team
Fraud Identification Remediation and Enforcement (FIRE) team sits within the Seller Lifecycle Management (SLM) org which is a part of broader Selling Partner Identity Verification (SPIV) org. The team investigates seller accounts to understand the identity operating the account and we take necessary actions when we find that the identity is risky and can cause negative downstream customer and/or financial impact to Amazon.
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