KYC Data Analyst, eBay

• Bachelor’s degree required, preferably BS/BA degree Statistics, Applied Econometrics, Math, Analytics, Computer Science, other related Core Sciences or equivalent
• 8+ years relevant professional experience or 6 yrs + with a master’s degree
• Strong Analytical and problem-solving skills
• Proficient in SQL and Advanced Excel
• Expertise in building decision boards using visualization tools like Tableau
• Proficiency in Python and a good understanding of data warehouse architecture is required. Should have knowledge on Spark or Hadoop
• Strong ability to derive insights and be able to articulate complex ideas concisely
• Experience in working in an agile environment and collaborating with product and engineering teams on initiatives
• Should be a self-starter and be able to initiate and lead multiple projects simultaneously from start to finish
• Ability to collaborate across functional teams from different geographies and time zones to achieve project objectives
• Ability to learn, adapt and work on New POCs, concepts or tools
• Experience working with system and data architecture, data classification, documenting end-to-end data flow and data lineage
• Hands-on experience validating the accuracy of SQL logic querying large data sets and ensuring accuracy of data mapping to eBay’s data systems
• Strong understanding of e-commerce and financial crimes domain is a plus

Desirable

• Recommend KYC enhancements by reviewing large amounts of KYC data to define opportunities
• Perform analyses on KYC-related data to identify and mitigate risks to the seller onboarding and verification process
• Understand AML trends by utilizing strong analytical skills in order to identify and mitigate potential risks. Partner with the global AML teams to gather information on current AML trends and leverage information to enhance the ARR methodology
• Work with engineering and product teams to understand the end-to-end architecture of ARR including the risk calculation engine and API & ETL processes into the case management gateway
• Drive the development of business requirements for medium to high complexity processes on ARR and KYC
• Support continual deep dive and trend analyses of Risk Rating model; understand how seller data is mapped to the ARR tool; Ability to test and review logical implementation of the ARR model
• Make recommendations for optimal data architecture, management, and performance of ARR
• Works closely with engineering and product teams to lead the resolution of any issues discovered
• Develop internal controls and metrics to continuously monitor trends and data quality; implement processes to detect, correct and prevent invalid data or errors
• Analyze large volumes of data and conduct modeling and tuning to understand the impact of ARR changes to global seller risk scoring and weighting