Risk Mining Analyst, Risk Mining

il y a 1 semaine

France Amazon TA Temps plein

Key job responsibilities
- Data Analysis & Conducting investigations into allegations of organized fraud or abuse on and off the Amazon platform.
- Using a combination of manual and automated tools to obtain information & reporting bugs and tool improvement ideas.
- Taking appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends.
- Analyse Potentially Falsified Document (PFD) / Falsified Documents (FD) data to confirm account level Modus Operandi (MO).
- Perform dive-deep into the tasks reported through trouble tickets, checking registration history of sellers etc.
- Perform dive-deep by taking samples of sellers from the queues in case anomalies or unexpected queue spikes are observed,
- Take actions on known MOs in the queues, either bulk action or instruct investigators to take manual deny actions.
- Flag new risk attribute to RM analytics team and suggest changes in SOP if the process requires enhancement to close loop holes for bad actors.

**BASIC QUALIFICATIONS**:

- English or Chinese language proficiency is required
- Experience as an Investigator or a similar job for at least 12 months
- Serves as the primary resource, escalation point and Subject Matter Expert
- Self-driven & motivated individual with demonstrated ability to perform well independently and as part of a team.
- Proficient in data analysis in Microsoft Excel

**PREFERRED QUALIFICATIONS**:

- Bachelor’s Degree in any quantitative discipline such as Information Systems, Computer Science, Statistics, Operational Research or Engineering
- Substantial experience working in Analytics / Business Intelligence environment
- Experience in working with databases and SQL in a business environment
- Demonstrated use of analytical packages and query languages such as SAS,SPSS and SQL
- Prior experience in design and execution of analytical projects
- Worked extensively in large scale data bases and data warehouses
- Experience in e-commerce / on-line companies in fraud / risk control functions
- Coding skills in one of the modern languages Java, Python, Scala, R
- Experience with visualization technologies such as Tableau
- Experience/knowledge of advanced machine learning techniques such as GBM, random forest, etc.
- Compelling communication and influencing skills and participation in winning the support of management and influence the course of major strategic decisions.

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