Payment Compliance Data Analyst

eBay's Risk Data Science Team is seeking an AML and Payment Compliance Data Analyst to support the eBay Subsidiary AML, Sanctions, and Payment Entity program. This role involves collaborating with Risk, Compliance, and Payment teams to build a global AML, Sanctions, and Payment Entity Data and Reporting Program. Key responsibilities include performing compliance-related data analysis, supporting investigation reviews, reviewing monthly reports, and delivering reporting enhancements to identify and mitigate risks.

Must Have

• Partner with global AML, Payment and Business teams to gather information on current business and compliance trends and leverage insights to enhance monitoring methodologies.
• Collaborate with Engineering and Product teams to understand and improve end-to-end data pipelines, strengthening risk monitoring processes.
• Drive the development of business requirements for key initiatives within the Risk Data Science Team.
• Support data exercises for reviews, including assessments, internal audits, and regulatory exams.
• Recommend optimal reporting data architecture, management practices, and performance improvements for data processes.
• Develop internal controls and metrics to continuously monitor trends and reporting quality; implement processes to detect, correct, and improve data quality.
• eCommerce and Payments domain experience.
• Bachelor’s degree (Statistics, Applied Econometrics, Math, Analytics, Computer Science, other related Core Sciences or equivalent).
• 7+ years relevant professional experience or 4 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.
• Knowledge on Spark or Hadoop.
• Strong ability to derive insights and articulate complex ideas concisely.
• Experience in working in an agile environment and collaborating with product and engineering teams on initiatives.
• Self-starter and 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.
• Strong understanding of e-commerce and payments financial crimes domain.

Good to Have

• CAMS or similar certification.
• Fintech compliance experience.
• Data Science and Machine Learning experience.

Perks & Benefits

• Target bonus
• Restricted stock units (as applicable)
• Medical benefits
• Financial benefits (including 401(k) eligibility)
• Paid time off benefits (such as PTO and parental leave)

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

eBay’s Risk Data Science Team is hiring an AML and Payment Compliance Data Analyst to support the eBay Subsidiary AML, Sanctions, and Payment Entity program. The ideal candidate will bring extensive payment and compliance knowledge and expertise. In this role, you will collaborate closely with Risk, Compliance, and Payment teams to build a global AML, Sanctions, and Payment Entity Data and Reporting Program. Responsibilities include performing compliance-related data analysis to identify and mitigate risks, supporting the compliance investigation review process, reviewing monthly reports, and delivering insightful metrics and reporting enhancements.

Responsibilities:

• Partner with global AML, Payment and Business teams to gather information on current business and compliance trends and leverage insights to enhance monitoring methodologies.
• Engineering and Product teams to understand and improve end-to-end data pipelines, strengthening risk monitoring processes.
• Drive the development of business requirements for key initiatives within the Risk Data Science Team.
• Support data exercises for reviews, including assessments, internal audits, and regulatory exams.
• Recommend optimal reporting data architecture, management practices, and performance improvements for data processes.
• Develop internal controls and metrics to continuously monitor trends and reporting quality; implement processes to detect, correct, and improve data quality.

Qualifications:

• eCommerce and Payments domain experience
• Bachelor’s degree required, preferably BS/BA degree Statistics, Applied Econometrics, Math, Analytics, Computer Science, other related Core Sciences or equivalent.
• 7+ years relevant professional experience or 4 yrs + with a master’s degree
• Strong analytical and problem-solving skills.
• Proficient in SQL and Advanced Excel. Hands-on experience validating the accuracy of SQL logic querying large data sets and ensuring accuracy of data mapping to eBay’s data systems.
• 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.
• Strong understanding of e-commerce and payments financial crimes domain.

Preferred Qualifications:

• CAMS or similar certification.
• Fintech compliance experience.
• Data Science and Machine Learning experience are nice to have.

The base pay range for this position is expected in the range below:

$89,600 - $158,100

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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